An Indexed Bibliography of Genetic Algorithms in Operations

An Indexed Bibliography of Genetic
Algorithms in Operations Research
compiled by
Jarmo T. Alander
Department of Electrical and Energy Engineering: Automation
University of Vaasa P.O. Box 700, FIN-65101 Vaasa, Finland
phone: +358-6-324 8444, fax: +358-6-324 8467
Dedicated to Heikki Aalto at Delfoi ltd
Report Series No. 94-1-OR (Updated 2014/12/10 08:59 )
available at http://www.uva.fi/~TAU/reports/report94-1/gaORbib.pdf
c 1994-2014 Jarmo T. Alander
Copyright Trademarks
Product and company names listed are trademarks or trade names of their respective companies.
Warning
While this bibliography has been compiled with the utmost care, the editor takes no responsibility for
any errors, missing information, the contents or quality of the references, nor for the usefulness and/or
the consequences of their application. The fact that a reference is included in this publication does not
imply a recommendation. The use of any of the methods in the references is entirely at the user’s own
responsibility. Especially the above warning applies to those references that are marked by trailing ’†’ (or
’*’), which are the ones that the editor has unfortunately not had the opportunity to read. An abstract
was available of the references marked with ’*’.
Contents
1 Preface
1.1 Your contributions erroneous or missing?
1.1.1 How to cite this report? . . . . . .
1.2 How to get this report via Internet? . .
1.3 Acknowledgement . . . . . . . . . . . . . .
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2 Introduction
1
2
2
2
2
4
3 Statistical summaries
3.1 Publication type . . . . .
3.2 Annual distribution . . . .
3.3 Classification . . . . . . .
3.4 Authors . . . . . . . . . .
3.5 Geographical distribution
3.6 Conclusions and future . .
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5
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4 Indexes
4.1 Books . . . . . . . . .
4.2 Journal articles . . . .
4.3 Theses . . . . . . . . .
4.3.1 PhD theses . .
4.3.2 Master’s theses
4.4 Report series . . . . .
4.5 Patents . . . . . . . .
4.6 Authors . . . . . . . .
4.7 Subject index . . . . .
4.8 Annual index . . . . .
4.9 Geographical index . .
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9
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40
41
43
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Bibliography
45
Appendixes
143
A Bibliography entry formats
143
i
ii
Chapter 1
Preface
“ Living organism are consummate problem solvers. They exhibit a versatility
that puts the best computer programs to shame. ”
John H. Holland, [1]
The material of this bibliography has been extracted from the genetic algorithm bibliography [2], which
when this report was compiled (December 10, 2014) contained 23196 items and which has been collected
from several sources of genetic algorithm literature including Usenet newsgroup comp.ai.genetic and
the bibliographies [3, 4, 5, 6]. The following index periodicals and databases have been used systematically
• A: International Aerospace Abstracts: Jan. 1995 – Sep. 1998
• ACM: ACM Guide to Computing Literature: 1979 – 1993/4
• BA: Biological Abstracts: July 1996 - Aug. 1998
• CA: Computer Abstracts: Jan. 1993 – Feb. 1995
• CCA: Computer & Control Abstracts: Jan. 1992 – Dec. 1999 (except May -95)
• ChA: Chemical Abstracts: Jan. 1997 - Dec. 2000
• CTI: Current Technology Index Jan./Feb. 1993 – Jan./Feb. 1994
• DAI: Dissertation Abstracts International: Vol. 53 No. 1 – Vol. 56 No. 10 (Apr. 1996)
• EEA: Electrical & Electronics Abstracts: Jan. 1991 – Apr. 1998
• EI A: The Engineering Index Annual: 1987 – 1992
• EI M: The Engineering Index Monthly: Jan. 1993 – Apr. 1998 (except May 1997)
• Esp@cenet patents – Apr. 2002
• IEEE: IEEE and IEE Journals – Fall 2002
• N: Scientific and Technical Aerospace Reports: Jan. 1993 - Dec. 1995 (except Oct. 1995)
• NASA NASA ADS www bibliography database: – Dec. 2002
• P: Index to Scientific & Technical Proceedings: Jan. 1986 – Dec 1999 (except Nov. 1994)
• PA: Physics Abstracts: Jan. 1997 – June 1999
• PubMed: National Library of Medicine Jan. 2000 – Oct. 2000, 2011-2013
• SPIE Web The International Society for Optical Engineering – June 2002
1
2
1.1
Genetic algorithms in operations research
Your contributions erroneous or missing?
The bibliography database is updated on a regular basis and certainly contains many errors and inconsistences. The editor would be glad to hear from any reader who notices any errors, missing information,
articles etc. In the future a more complete version of this bibliography will be prepared for the genetic algorithms in operations research research community and others who are interested in this rapidly growing
area of genetic algorithms.
When submitting updates to the database, paper copies of already published contributions are preferred. Paper copies (or ftp ones) are needed mainly for indexing. We are also doing reviews of different
aspects and applications of GAs where we need as complete as possible collection of GA papers. Please,
do not forget to include complete bibliographical information: copy also proceedings volume title pages,
journal table of contents pages, etc. Observe that there exists several versions of each subbibliography,
therefore the reference numbers are not unique and should not be used alone in communication, use the key appearing as the last item of the reference entry instead.
Complete bibliographical information is really helpful for those who want to find your contribution
in their libraries. If your paper was worth writing and publishing it is certainly worth to be referenced
right in a bibliographical database read daily by GA researchers, both newcomers and established ones.
1.1.1
How to cite this report?
You can use the BiBTEX file GASUB.bib, which is available in our site lipas.uwasa.fi in directory
reports/report94-1 and contains records for GA subbibliographies for citing with LATEX/BibTEX.
1.2
How to get this report via Internet?
Versions of this bibliography are available via www from the following site:
media
web
country
Finland
site
lipas.uwasa.fi
directory
~TAU/reports/report94-1
file
gaORbib.pdf
The directory also contains some other indexed GA bibliographies shown in table A.1. In case you do
not find a proper one please let us know: it may be easy to tailor a new one.
1.3
Acknowledgement
The editor wants to acknowledge all who have kindly supplied references, papers and other information
on genetic algorithms in operations research literature. At least the following GA researchers have
already kindly supplied their complete autobibliographies and/or proofread references to their papers:
Dan Adler, Patrick Argos, Jarmo T. Alander, James E. Baker, Wolfgang Banzhaf, Helio J. C. Barbosa,
Hans-Georg Beyer, Christian Bierwirth, Peter Bober Joachim Born, Ralf Bruns, I. L. Bukatova, Thomas
B¨
ack, Chhandra Chakraborti, Nirupam Chakraborti, David E. Clark, Carlos A. Coello Coello, Yuval
Davidor, Dipankar Dasgupta, Marco Dorigo, J. Wayland Eheart, Bogdan Filipiˇc, Terence C. Fogarty,
David B. Fogel, Toshio Fukuda, Hugo de Garis, Robert C. Glen, David E. Goldberg, Martina GorgesSchleuter, Hitoshi Hemmi, Vasant Honavar, Jeffrey Horn, Aristides T. Hatjimihail, Heikki Hy¨otyniemi
Mark J. Jakiela, Richard S. Judson, Bryant A. Julstrom, Charles L. Karr, Akihiko Konagaya, Aaron
Konstam, John R. Koza, Kristinn Kristinsson, Malay K. Kundu, D. P. Kwok, Jouni Lampinen, Jorma
Laurikkala, Gregory Levitin, Carlos B. Lucasius, Timo Mantere, Michael de la Maza, John R. McDonnell,
J. J. Merelo, Laurence D. Merkle, Zbigniew Michalewics, Melanie Mitchell, David J. Nettleton, Volker
Nissen, Ari Nissinen, Tatsuya Niwa, Tomasz Ostrowski, Kihong Park, Jakub Podg´orski, Timo Poranen,
Nicholas J. Radcliffe, Colin R. Reeves, Gordon Roberts, David Rogers, David Romero, Sam Sandqvist,
Ivan Santib´
an
˜ez-Koref, Marc Schoenauer, Markus Schwehm, Hans-Paul Schwefel, Michael T. Semertzidis,
Davil L. Shealy, Moshe Sipper, William M. Spears, Donald S. Szarkowicz, El-Ghazali Talbi, Masahiro
Tanaka, Leigh Tesfatsion, Peter M. Todd, Marco Tomassini, Andrew L. Tuson, Kanji Ueda, Jari Vaario,
Acknowledgement
3
Gilles Venturini, Hans-Michael Voigt, Roger L. Wainwright, D. Eric Walters, James F. Whidborne, Stefan
Wiegand, Steward W. Wilson, Xin Yao, Xiaodong Yin, and Ljudmila A. Zinchenko.
The editor also wants to acknowledge Elizabeth Heap-Talvela for her kind proofreading of the manuscript
of this bibliography and Tea Ollanketo and Sakari Kauvosaari for updating the database. Prof. Timo
Salmi and the Computer Centre of University of Vaasa is acknowledged for providing and managing the
online web site lipas.uwasa.fi, where these indexed bibliographies are located since Summer 2012.
Chapter 2
Introduction
“Many scientist, possibly most scientist, just do science without thinking too
much about it. They run experiments, make observations, show how certain
data conflict with more general views, set out theories, and so on. Periodically,
however, some of us—scientists included—step back and look at what is going
on in science.”
David L., Hull, [7]
The table 2.1 gives the queries that have been used to extract this bibliography. The query system as well
as the indexing tools used to compile this report from the BiBTEX-database [8] have been implemented
by the author mainly as sets of simple awk and gawk programs [9, 10].
string
scheduling
routing
production planning
job shop
JSS
knapsack
time-table
timetabl
Steiner tree
bin-packing
bin packing
TSP
nesting
Onemax
QAP
SAT
set cover
optimization /combina
Operation
maintenance
reliability
field
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
TITLE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
JOURNAL
ANNOTE
ANNOTE
class
Scheduling
Routing
Production planning
Job shop scheduling
Job shop scheduling
Knapsack problem
Timetabling
Timetabling
Steiner trees
Bin packing
Bin packing
Travelling salesman problem
Nesting
Onemax problem
QAP
SAT
Set covering problem
Combinatorial optimization
Operations research
Maintenance planning
Reliability
Table 2.1: Queries used to extract this subbibliography from the source database.
Hint
4
Chapter 3
Statistical summaries
• Travelling salesman problem 206 references ([1542]-[1747])
This chapter gives some general statistical summaries of genetic algorithms in operations research
literature. More detailed indexes can be found in
the next chapter.
Observe that each reference is included (by the
computer) only to one of the above classes (see the
queries for classification in table 2.1; the textual
order in the query gives priority for classes).
References to each class (c.f table 2.1) are listed
below:
• Bin packing 37 references ([11]-[47])
3.1
• Combinatorial optimization 30 references
([48]-[77])
Publication type
This bibliography contains published contributions
including reports and patents. All unpublished
manuscripts have been omitted unless accepted
for publication. In addition theses, PhD, MSc
etc., are also included whether or not published
somewhere.
Table 3.1 gives the distribution of publication
type of the whole bibliography. Observe that the
number of journal articles may also include articles published or to be published in unknown
forums.
• Job shop scheduling 142 references ([78][219])
• Knapsack problem 27 references ([220][246])
• Maintenance planning 41 references ([247][287])
• Nesting 27 references ([288]-[314])
• Onemax problem 4 references ([315]-[318])
type
book
section of a book
part of a collection
journal article
proceedings article
report
PhD thesis
MSc thesis
others
total
• Operations research 199 references ([319][517])
• Production planning 22 references ([518][539])
• QAP 25 references ([540]-[564])
• Reliability 76 references ([565]-[640])
• Routing 201 references ([641]-[841])
number of items
12
2
35
731
802
52
46
25
33
1738
• SAT 38 references ([842]-[879])
Table 3.1: Distribution of publication type.
• Scheduling 587 references ([880]-[1466])
• Set covering problem 12 references ([1467][1478])
3.2
• Steiner trees 10 references ([1479]-[1488])
Annual distribution
Table 3.2 gives the number of genetic algorithms
in operations research papers published annually.
• Timetabling 53 references ([1489]-[1541])
5
6
Genetic algorithms in operations research
The annual distribution is also shown in fig. 3.1.
The average annual growth of GA papers has been
approximately 40 % during late 70’s - early 90’s.
year
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
total
items
1
0
0
0
1
0
0
2
0
1
1
7
20
67
158
231
160
73
62
16
11
5
8
7
3
year
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
items
0
0
0
0
0
0
0
0
1
4
3
16
49
114
211
225
150
62
19
18
7
4
13
8
1738
Table 3.2: Annual distribution of contributions.
3.3
Classification
Every bibliography item has been given at least
one describing keyword or classification by the editor of this bibliography. Keywords occurring most
are shown in table 3.3.
Total
others
1704
0
Table 3.3: The most popular subjects.
3.4
Authors
Table 3.4 gives the most productive authors.
total number of authors
Gen, Mitsuo
Levitin, Gregory
Cheng, Runwei
Dorigo, Marco
Potvin, Jean-Yves
Ross, Peter
Sannomiya, Nobuo
Corne, David W.
Murata, Tadahiko
Sakawa, Masatoshi
Br¨aysy, Olli
Iima, Hitoshi
Ishibuchi, Hisao
Thangiah, Sam Rabindranath
8 authors
9 authors
8 authors
20 authors
39 authors
44 authors
89 authors
381 authors
2166 authors
2778
40
16
14
13
12
12
12
11
11
11
10
10
10
10
9
8
7
6
5
4
3
2
1
Table 3.4: The most productive genetic algorithms in operations research authors.
Authors
7
6Genetic algorithms in operations research
ccc
c ccc
c
cc
1000
c
c
ccc
number of papers
c
c
c
c
(log scale)
c
ss
c
c
c
c
c ss ss
100
cc s
c
sss
cc ss
c
c
sss
c cc
ss
s s
c cc cccc
10
s s ss
s
cc
c
ss
c cc
s
c
cc
s
s
c c c
s
c 1c cc s
s
ss s
1960
2014/12/10
1970
1980
1990
2000
2010
year
Figure 3.1: The number of papers applying genetic algorithms in operations research (•,
N = 1750 ) and total GA papers (◦, N = 23196 ).
Observe that the last few years are most incomplete in the database.
8
3.5
Genetic algorithms in operations research
Geographical distribution
Table 3.5 gives the geographical distribution of authors, when the country of the author was known. Over
80% of the references of the GA source database are classified by country.
2014/12/10
country
Total
United States
Japan
United Kingdom
Germany
China
Canada
Finland
France
Australia
Italy
Taiwan
South Korea
India
Spain
Belgium
Poland
The Netherlands
Israel
Singapore
Brazil
special
n
%
1671 100.00
357
21.36
269
16.10
168
10.05
142
8.50
89
5.33
50
2.99
45
2.69
44
2.63
42
2.51
40
2.39
39
2.33
38
2.27
32
1.92
28
1.68
24
1.44
22
1.32
19
1.14
17
1.02
17
1.02
16
0.96
comparison
δ[%] ∆[%]
−4.88
+4.76
+0.22
+2.00
−0.49
+1.38
−1.30
+0.10
+0.10
−0.42
+0.01
+0.02
−0.23
−0.41
+0.62
+0.46
+0.17
+0.42
+0.21
−0.13
−19
+42
+2
+31
−8
+86
−33
+4
+4
−15
+0
+1
−11
−20
+76
+53
+18
+70
+26
−12
all
N
21994
5771
2494
2161
1430
1279
355
877
556
531
617
511
494
472
459
181
190
214
131
178
240
%
100.00
26.24
11.34
9.83
6.50
5.82
1.61
3.99
2.53
2.41
2.81
2.32
2.25
2.15
2.09
0.82
0.86
0.97
0.60
0.81
1.09
Table 3.5: The geographical distribution of the authors working on genetic algorithms in operations
research (n) compared (δ and ∆) to all authors in the field of GAs (N ). In the comparison column:
nNT otal
δ% = %special−%all and ∆ = (1 − N
nT otal ) × 100%. ∆ is the relative (%) deviation from the expected
number of special papers. Observe that joint papers may have authors from several countries and that
not all authors have been attributed to a country.
3.6
Conclusions and future
The editor believes that this bibliography contains references to most genetic algorithms in operations
research contributions upto and including the year 1998 and the editor hopes that this bibliography
could give some help to those who are working or planning to work in this rapidly growing area of genetic
algorithms.
Chapter 4
Indexes
4.1
Books
Acta Electronica Sinica (China),
Adaptive Behavior,
The following list contains all items classified as
books.
Advanced Manufacturing Technology,
[1298]
Advanced Technology for Developers,
[1398, 1714, 1729]
AI Expert,
[323, 328, 370, 379, 411, 432,
433, 178, 463, 466, 479, 498, 506, 510, 513]
Annual Nuclear Energy,
[1364]
Appl. Intell. Int. J.Artif. Intell. Neural Netw. Complex
Probl-Solving Technol (Netherlands), [739, 749]
Computational Techniques for Structural Health Monitoring, [579]
Appl. Intell., Int. Artif. Intell. Neural Netw. Complex
Probl.-Solving Technol. (Netherlands), [743]
[130]
From Natural to Artificial Swarm Intelligence,
[1619, 27, 1631]
Annals of Operations Research,
Computational Intelligence in Integrated Airline Scheduling, [957]
Evolutionary Search and the Job Shop,
[975, 1424]
Ann. Oper. Res. (Netherlands),
Adaptive Search and the Management of Logistics Systems
Based Models for Learning Agents, [1328]
[722, 1633]
[730]
Applied Intelligence,
[787]
[201, 291, 668]
Applied Mathematics and Information Sciences,
Genetic Algorithms & Engineering Design,
[173]
Applied Soft Computing,
Modern Heuristic Techniques for Combinatorial Problems,
[76]
Multi-State System Reliability,
Multiobjective Scheduling by Genetic Algorithms,
[652]
Artificial Intelligence,
[1543]
Artificial Intelligence Review,
[1360]
Artificial Life,
N¨
ak¨
okulmia laskennalliseen tieteeseen – Alkur¨
aj¨
ahdyksest¨
a
k¨
annykk¨
aa
¨n [Views to Computational Science –
From Big Bang to Mobile Phones], [1654]
[660]
[1227]
Asia-Pacific Journal of Operational Research,
Automatisierungstechnik,
[1594]
[118, 1301]
Bad. Oper. Decyzje (Poland),
total 12 books
[343, 376]
[675]
Autom. Prod. Inform. Ind. (France),
Telecommunications Optimization: Heuristic and Adaptive
Techniques, [566]
[1531]
Belgian Journal of Operations Research, Statistics and
Computer Science, [502, 505]
Belgium Journal of Operations Research, Statistics and
Computer Science, [499]
Journal articles
Bioinformatics,
Biological Cybernetics,
The following list contains the references to every
journal article included in this bibliography. The
list is arranged in alphabetical order by the name
of the journal.
Acta Electronica Sinica,
[1667]
Asia-Pac. J. Oper. Res. (Singapore),
Assembly Automation,
[279]
[94, 1672]
Asia Pacific Management Review,
OmeGA, A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems, [88]
4.2
[966]
Arpakannus,
Artificial Intelligence in Real-Time Control,
[575]
[99]
[852]
[61, 1682, 1683, 1684, 1685, 1697,
1701, 1711]
BMC Medical Informatics and Decision Making,
Br. Telecommun. Eng. (UK),
BT Technology Journal,
[965]
[1578]
[890, 642]
Bulletin of Faculty of Engineering, Tokushima University
(Japan), [830]
[113]
9
10
Genetic algorithms in operations research
Byte,
Engineering Design and Automation,
[1029]
Central European Journal for Operations Research and
Economics, [442]
Environ. Model. Softw. (UK),
Chin. J. Adv. Softw. Res. (USA),
Eur. J. Oper. Res. (Netherlands),
Chin. J. Electron. (China),
[305]
[213]
Chin. J. Electron. (Hong Kong),
CIRP Ann.,
[1004]
Complex Systems,
[1708]
325,
352,
377,
426,
467,
486,
[1292]
[1272]
[1289]
[791]
Comput.-Integr. Manuf. Syst. (UK),
EvoNews,
[1554]
Flight Dynamics,
[634]
[893]
Computers & Industrial Engineering,
[573]
[270]
Computers & Mathematics with Applications,
382,
398,
420,
458,
383,
400,
423,
460,
384,
402,
429,
464,
385,
403,
434,
469,
Control Engineering Practice,
High Technology Letters (Engl.
lang.
[91, 1608, 1652, 312, 1703]
I & CS (USA),
[797]
IEE Proceedings - Generation, Transmission and Distribution, [1282]
IEE Proceedings C: Generation, Transmission and Distribution, [1094, 1127]
IEE Proceedings Generation, Transmission and Distribution, [1169]
[521, 197]
[641]
[1549]
IEEE Trans. Parallel Distrib. Syst. (USA),
[1583]
[1324, 1357]
[616, 621]
IEEE Transactions of Knowlledge and Data Engineering,
[275]
[1087]
[595, 606, 631, 286, 1407]
Electron. Commun. Jpn. 2, Electron. (USA),
3, Fundam.
[628]
Electron.
Sci.
IEEE Transactions on Automation Science and Engineering, [294]
IEEE Transactions on Circuits and Systems II: Express
Briefs, [669]
IEEE Transactions on Computer-Aided Design,
[1651]
Electronic Notes in Discrete Mathematics,
[958]
IEEE Transactions on Evolutionary Computation,
[1069]
Engineering Applications of Artificial Intelligence,
[820]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, [699, 1731, 1455]
[1592, 105, 763]
Elektroteh. Vestn. (Slovenia),
(China),
[1121]
IEE Proceedings - Communications,
IEEE Trans. Reliability,
Electron. Eng. Aust. (Australia),
ed.)
[541]
[146, 147]
IEEE Spectrum,
Electric Power Systems Research,
Electronics Letters,
[973]
IEEE Journal on Selecte,
Discrete Applied Mathematics,
[1699]
[1053]
[863]
Electron. Commun. Jpn.
(USA), [600]
Health Care Management Science,
IEEE Expert,
[1252, 1356]
Electr. Power Syst. Res. (Switzerland),
[1140]
IEE Proceedings, Computers and Digital Techniques,
[1089]
[245]
Cybernetics and Systems,
DIMACS,
373,
394,
408,
449,
500,
[1048, 1311]
Control Theory Appl. (China),
Cryptologia,
[524]
[324, 327, 359, 366,
386, 387, 391, 393,
404, 405, 406, 407,
435, 436, 439, 441,
475, 482, 493, 494,
Concurrency: Practice and Experience,
[968]
[907]
Genetic Programming and Evolvable Machines,
[348, 350]
212, 1071, 1081, 1090, 1103, 135, 1134, 1137, 1141, 1145,
139, 594, 525, 596, 1170, 1185, 1229, 1383, 1396, 1434]
381,
397,
417,
456,
[664]
Future Generation Computer Systems,
Computers & Industrial Engineering, [78, 96, 257, 1587, 209,
380,
396,
414,
451,
514]
[1534, 1321, 1329]
Fujitsu Sci. Tech. J. (Japan),
Computers & Chemical Engineering,
375,
395,
410,
450,
509,
[960, 578, 962, 972, 696, 317, 301,
Flexible Services and Manufacturing Journal,
Computers in Industry, [945]
Computers & Operations Research,
[392, 399, 501,
[129, 729]
Fiber & Integrated Optics,
[1268, 1309]
Computers & Chemical Engineering,
322,
347,
374,
425,
462,
485,
[1689]
Evolutionary Computing,
Computers & Operations Research,
321,
344,
372,
424,
461,
484,
138, 180, 1317, 1694]
[302]
[1348]
Computers in Chemical Engineering,
[320,
341,
371,
422,
455,
483,
[457]
Europhysics Letters,
Evolutionary Computation,
[757]
Computational Optimization and Applications,
Computers Ind. Engng,
340,
369,
421,
454,
481,
European Journal of Operations Research (Netherlands),
[132, 168, 1319]
[1208, 622, 1332, 1334, 1336, 1337,
189, 1344, 1351, 192, 638, 640, 195]
Computer Today,
329, 331, 332, 333, 334, 336, 339,
353, 361, 362, 364, 365, 367, 368,
378, 401, 413, 123, 415, 418, 419,
427, 428, 430, 144, 437, 438, 447,
470, 471, 472, 473, 474, 476, 478,
487, 488, 490, 491, 496, 515, 517]
507, 511]
Comput. Ind. Eng. (UK),
Computer Networks,
[1218, 311]
European Journal of Operations Research,
Comput. Commun. (Netherlands),
Comput. Ind. (Netherlands),
[882]
European Journal of Operational Research,
Comput-Aided Civ. Infrastruct. Eng. (USA),
Comput. Chem. Eng.,
Ergonomics,
[152]
[1241]
[540,
850, 1552, 924, 222, 1560, 1635, 155, 770, 614, 783]
[289]
IEEE Transactions on Industrial Electronics,
[916, 268]
Journal articles
11
IEEE Transactions on Knowledge and Data Engineering,
[554]
IEEE Transactions on Magnetics,
International Journal of Intelligent Systems,
[263]
IEEE Transactions on Neural Networks,
[987]
IEEE Transactions on Power Systems,
[247, 901, 1116,
1120, 1128, 269, 1257, 1303, 623]
[567, 571, 584, 588, 591,
604, 608, 620, 626, 630]
IEEE Transactions on Robotics and Automation,
[912,
1281]
IEEE Transactions on System, Man, and Cybernetics - Part
B: Cybernetics, [910]
IEEE Transactions on Systems, Man, and Cybernetics,
[84, 544, 1624, 1284, 1347, 1368, 1698, 1411]
IEEE Transactions on Systems, Man, and Cybernetics A,
Systems Humans, [527]
IEEE Transactions on Systems, Man, and Cybernetics B,
Cybernetics, [1201, 309]
IEEE Transactions on Systems, Man, and Cybernetics.
Part B, Cybernetics, [967]
IEICE Transactions,
[881, 895,
897, 898, 906, 85, 913, 926, 518, 929, 519, 184, 1299, 1312,
310, 1335, 1359, 314]
International Journal of Systems Science,
[998, 158]
International Journal on Advanced Manufacturing Technology, [911]
International Journal on Artificial Intelligence Tools
(IJAIT), [1260]
International Journal on Computer Integrated Manufacturing, [537]
International Transactions in Operational Research,
[326,
338, 342, 349, 351, 93, 355, 389, 431, 440, 445, 477, 489, 495]
ISA Transactions,
[580]
J Qual Maint Eng,
[264]
J. Beijing Univ. Aeronaut. Astronaut. (China),
J. Circuits Syst. Comput. (Singapore),
J. Heuristics,
[1671]
[1200]
[236, 70]
[529, 1745]
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, [687, 690, 831]
J. Inst. Eng. Singap. (Singapore),
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, [67]
J. Jpn. Soc. Artif. Intell. (Japan),
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science”, , [179]
J. KISS(C). Comput. Pract. (South Korea),
IEICE Transactions on Information and Systems,
J. of Oper. Res.,
[1526]
J. Oper. Res. Soc.,
[1111]
IIE Transactions,
[1620]
[206, 617, 277]
J. Intell. Manuf. (Netherlands),
Ind. Manag. (Germany),
J. Softw. (China),
[216]
[542, 226, 1030]
J. Syst. Eng. (UK),
[1590]
INFOR (Canada),
[792]
J. Xidian Univ. (China),
[240]
Journal of Construction Engineering and Management,
[745, 748]
Int. J. Comput. Integr. Manuf. (UK),
Int. J. Electr. Power Energy Syst.,
[950]
[1300]
Journal of Electrical Engineering,
[1166]
Journal of Heuristics,
Int. J. Eng. Intell. Syst. Electic. Eng. Commun,
Int. J. High Speed Comput. (Singapore),
[737]
[1147]
Journal of Information Science and Engineering,
Journal of Intelligent Manufacturing,
[645]
[1267]
[97]
Journal of Intelligent & Fuzzy Systems,
[160, 535]
[1098, 267]
Journal of Japan Society for Fuzzy Theory and systems,
[1102, 153]
Intelligent Automation and Soft Computing,
[1355]
[665, 23, 1636]
Journal of Intelligent and Fuzzy Systems,
[1144]
Int. J. Prod. Econ. (Netherlands),
Int. J. Prod. Res. (UK),
[156]
[559]
[849, 909, 1160, 1673, 807]
Int. J. Mater. Prod. Technol.,
[1523]
[1612, 1463]
Journal of Chemical Information and Computer Sciences,
[721]
INFORMS J. Comput. (USA),
[1659]
[979]
J. Shanghai Jiaotong Univ. (China),
INFOR,
Information Sciences,
[115, 732, 1210]
J. Korea Inf. Sci. Soc. (South Korea),
J. Oper. Res. Soc. Jpn. (Japan),
Inform. Autom. (Spain),
[1211]
[1362]
J. KISS(A), Comput. Syst. Theory (South Korea),
IJCSNS International Journal of Computer Science and
Network Security, [1574]
[531]
[1248]
[746]
J. Comput. Inf. Technol. CIT (Croatia),
J. Inf. Optimization Sci. (India),
[762]
[572]
International Journal of Production Research,
J. Heuristics (Netherlands),
[262]
IEICE Transactions on Communication,
[1524]
International Journal of Production Economics,
[545, 1155]
IEEE Transactions on Parallel and Distributed Systems,
IEEE Transactions on Reliability,
International Journal of Information Technology Convergence and Services (IJITCS), [961]
[599]
[1567]
International Journal of Advanced Manufacturing Technology, [79, 894, 83, 1557, 89]
International Journal of Approximate Reasoning,
[1277]
International Journal of Approximative Reasoning,
International Journal of Computer Applications,
[1294]
[98]
Journal of Japanese Society for Artificial Intelligence, [1743]
Journal of Mechanical Design, Transactions of the ASME,
[1100]
Journal of Medical Systems,
[971]
Journal of Nanjing University of Aeronautics & Astronautics, [936, 166]
12
Genetic algorithms in operations research
Journal of Operational Research,
Parallel Computing,
[345]
Journal of Parallel and Distributed Computing,
[922, 930,
932, 933, 1214, 1235, 1246, 1259]
[1696]
Parallel Processing Letters (Singapore),
Journal of Solid Rocket Technology,
Journal of Systems Architecture,
[1153, 1376, 1414]
Parallel Processing Letters,
[574]
Physical Review Letters,
[954]
Journal of the Operational Research Society,
[319, 330,
335, 337, 346, 354, 356, 357, 358, 363, 412, 416, 444, 448,
452, 459, 465, 468, 480, 492, 497, 504]
[1097]
[1669, 1681]
Pr. Nauk. Inst. Technol. Masz. Autom. Politech. Wroc.
Ser., Konf. (Poland), [1239]
Pric. Inst. Mech. Eng. I, J. Syst. Control Eng. (UK),
[610]
Journal of the Operations Research Society of Japan, [453]
Probabilistic Engineering Mechanics,
Jpn. J. Fuzzy Theory Syst. (USA),
Proc Inst Mech Eng Part B J Eng Manuf,
[107, 704, 110, 587, 589,
601, 167]
Kerntechnik,
Proc.
Kybernetes,
[523]
B, J. Eng.
Manuf.
[1730]
[503, 512]
Proceedings of the National Academy of Sciences of the
United States of America, [246]
Prod. Oper. Manage. (USA),
[1193]
Matematische Operationsforschung und Statistik,
[516]
Prod. Plan. Control (UK),
[114]
[1180, 526, 534, 1353]
Mater Sci Eng C Biomimetic Mater Sens Systmatische Operationsforschung und Statistik, [409]
Prod. Plann Control,
[1143]
Prod. Plann. Control,
[143]
Math. Comput. Modelling,
[1599]
RAIRO Rech. Oper. (France),
Math. Methods Oper. Res.,
[885]
[64]
RAIRO-APII-JESA J. Eur. Syst. Autom. (France),
Mathematical and Computer Modelling,
Rech. Oper. (France),
[1589]
Mathematics and Computers in Simulation,
[1221]
Reliability Engineering and System Safety,
[41]
Reliability Engineering & System Safety,
Meas. Control (UK),
[1363]
Res. Rep. Kogakuin Univ. (Japan),
Memoirs of the Faculty of Engineering, Fukui University,
[282]
[576, 602, 632]
[1135]
Res. Rep. Kogakuin Univ. (Japan)Eng. Des. (USA),
[1082]
[1738]
Memoirs of the Faculty of Engineering, Okayama University, [1600]
Rivista di Ricerca Operativa,
Science,
[845, 1550, 855, 857]
Methods of Operations Research,
Sensors,
[959]
[508]
Microelectronics and Reliability,
[1310]
[1556]
Nature,
[846, 847]
Naval Research Logistics,
Stud. Inf. Control (Romania),
[990]
Telematics and Informatics,
Neural Computation,
[1727]
Teleoperators and virtual environments,
Nippon Kikai Gakkai Ronbunshu C Hen, [15, 265, 1157, 532]
The Journal of Scheduling,
[944]
Nuclear Technology,
[1031]
TheScientificWorldJournal,
[970]
[360, 443, 446]
Tien Tzu Hsueh Pao,
Operations Research “RAIRO”,
[388]
[390]
OR Spektrum,
[904, 691, 112, 1076, 1715]
Order,
[1315]
ORSA Journal on Computing,
[1152]
[963]
The International Journal of Advanced Manufacturing
Technology, [908, 92, 935]
[299]
Operations Research / Management Sciences,
[1456]
[1088, 1449]
The Australasian Medical Journal,
Nihon Zosen Gakkai Ronbunshu,
[1688]
[133]
Technique et Science Informatique TSI,
[1302, 1326]
[1483]
[185]
Systems Analysis – Modeling – Simulation,
Tech. Rep. Seikei Univ. (Japan),
Natural Computing,
[1529]
Solid-State Electronics, [1316]
[713]
Mitsui Zosen Tech. Rev. (Japan),
[1525, 1164]
Software - Practice and Experience (UK),
[624]
Microprocess. Microsyst. (UK),
Networks,
[1736]
Software - Practice and Experience,
[753]
Midwest Symp Circuits Syst,
[1499]
SIAM Journal on Optimization,
[607, 613]
Microelectron. J. (UK),
Operations Research,
[552]
[1354]
MC,
Microelectron Reliab,
(UK),
Proceedings of the Institution of Mechanical Engineers,
Part B-Journal of Engineering Manufacture, [290]
[86]
Manufacturing Engineer,
Eng.
Proceedings in Operations Research,
[949, 295]
Lettre du Transputer et des Calculateurs Distribu´
es, [1457]
Man. Sci.,
Mech.
[298, 1325]
[1254]
Kvalita Inov´
acia Prosperita,
Inst.
[636]
[723]
Trans. Inf. Process. Soc. Jpn. (Japan),
[171, 38]
Trans. Inst. Electr. Eng. Jpn. C (Japan),
[159, 162, 786]
Trans. Inst. Electron. Inf. Commun. Eng. A (Japan),
[243]
Trans. Inst. Electron. Inf. Commun. Eng. D-I (Japan),
[991]
[1535, 794]
Theses
13
Trans. Inst. Syst. Control Inf. Eng. (Japan),
[1002, 1197,
1243, 1265, 1536]
Trans.
Korean Inst.
4.3.1
PhD theses
Academy of Sciences,
Electr.
Eng.
(South Korea),
[585, 1207]
Trans. Soc. Instrum. Control Eng. (Japan),
[1641, 177,
1664, 1338]
[77]
Arizona State University,
[943]
Case Western Reserve University,
Colorado State University,
Transaction of Systems, Control and Information,
[1416]
Transaction of the Institute of Electronics, Information and
Communication Engineers A (Japan), [832]
Transactions of the Information Processing Society of
Japan, [1146]
Transactions of the Institute of Electrical Engineera of
Japan C, [1110]
Transactions of the Institute of Electrical Engineers of
Japan C, [988, 1013, 1074, 1461]
Transactions of the Institute of Electrical Engineers of
Japan C), [1202]
Transactions of the Institute of Electrical Engineers of
Japan D, [306]
[1005]
[1382, 1450]
Eidgen¨
ossische Technische Hochschule Z¨
urich,
Illinois Institute of Technology,
[1679]
[56]
Instituto Nacional de Pesquisas Espaciais,
[1475]
L’Universite des Sciences et Technologiques de Lille,
[28]
Louisiana State University of Agricultural and Mechanical
College, [877]
Massachusetts Institute of Technology,
Michigan State University,
[1096]
[170]
Mississippi State University,
[815]
North Dakota State University of Agriculture and Applied
Sciences, [1693, 821, 1712, 1737]
Rensselaer Polytechnic Institute,
[577]
Transactions of the Institute of Electronics, Information,
and Communication Eng A (Japan), [176]
Rheinische-Westf¨
alischen Technischen Hochschule Aachen,
Transactions of the Institute of Electronics, Information,
and Communication Engineers A (Japan), [590, 598]
State University of New York at Binghamton,
Transactions of the Institute of Electronics, Information,
and Communication Engineers D-I, [1658]
Transactions of the Institute of System, Control, and Information Engineers (Japan), [1171]
Transactions of the Institution of Mining and Metallurgy
Section A – Mining Industry, [983]
Transactions of the Insttute of System, Control, and Information Engineers (Japan), [1261]
Transactions of the Korean Institute of Electrical Engineers
(South Korea), [597]
[520]
Syracuse University,
[1593]
Texas Tech University,
[934, 946]
The Pennsylvania State University,
The University of Memphis,
The University of Oklahoma,
Universidad del Pa´ıs Vasco,
[659]
University in Taiwan,
[1555, 1563]
University of Aarhus,
[917]
Transportation Engineering,
University of Central Florida,
Transportation Science,
Wirtschaftsinformatik,
[202]
[219]
University of Illinois at Urbana-Champaign,
[667]
University of Missouri,
[536, 1713, 1419, 1422]
[1528]
[611]
University of New Mexico,
[207]
[318]
University of North Carolina at Charlotte,
University of Oklahoma, [151]
total 731 articles in 308 series
4.3
Theses
University of Turku,
[1674]
University of Vaasa,
[648]
University of Washington,
[1391]
University of the West of England,
The following two lists contain theses, first PhD
theses and then Master’s etc. theses, arranged in
alphabetical order by the name of the school.
[55]
[13]
University of Missouri - Rolla,
[592, 1628]
Zesz. Nauk. Politech. Sl. Ser., Inf. (Poland),
Zhongguo Dianji Gongcheng Xuebao,
[1372]
University of Illinois at Chicago,
[252]
Wuhan Univ. J. Nat. Sci. (China),
[73]
The University of Tulsa, [1580]
University of Cambridge,
Transportation Research, Part C,
[1586, 564]
[1584]
Transactions of the Society of Instrument and Control Engineers (Japan), [53, 683, 1077, 1078, 1084, 63, 1415, 199]
[256, 259]
[1607]
Universit¨
at der Bremen, [1385]
total 46 thesis in 39 schools
[1558]
[1733]
14
Genetic algorithms in operations research
4.3.2
Master’s theses
International Computer Science Institute,
This list includes also “Diplomarbeit”, “Tech. Lic.
Theses”, etc.
Air Force Institute of Technology,
Brigham Young University,
[828]
[956]
Limburg University,
[95, 1438]
MITRE Corporation,
[1716]
[1630]
ESPOL Polytechnic University,
Michigan State University,
[674]
Fernuniversit¨
at Gesamthochschule in Hagen,
George Mason University,
Katholieke Universiteit Leuven,
[1230]
[767]
Netrologic,
[296]
[827]
[879]
North Carolina A & T State University,
[1707]
Helsinki University of Technology, [646, 918, 1206, 1279, 1352]
KASIST,
[1451]
National Taiwan University of Science and Technology,
[676]
Texas tech University,
[941]
Politecnico di Milano,
[1495, 560, 561]
RWTH Aachen,
[538]
Royal Melbourne Institute of Technology,
[35]
The University of York, [969]
Ruhr Universit¨
at Mannheim,
University in Taiwan,
[673]
University of Bristol,
[657]
University of East Anglia,
[1488]
[1687]
SINTEF Applied Mathematics,
[653, 654]
The Aarhus School of Business,
[543]
University of Edinburgh, [1472, 1402]
University of Georgia,
Universidad de M´
alaga, [52]
[948]
University of Moratuwa, [670]
University of Edinburgh, [1509, 701]
University of Newcastle Upon Tyne,
[1505]
University of Illinois at Urbana-Champaign,
University of Tulsa,
[1389]
University of Vaasa,
[788]
University of Michigan, [1024, 1378, 1379]
Universit¨
at Bonn,
[1722]
University of Strathclyde,
[1562]
[1429]
total 25 thesis in 20 schools
4.4
Report series
The following list contains references to all papers published as technical reports. The list is
arranged in alphabetical order by the name of the
institute.
Aarhus University,
[1480]
C.S.I.R.O.,
[1493]
CRIF Industrial Automation,
Carnegie-Mellon University,
[12, 1643]
University of Vaasa,
[808, 1746, 1465, 1466, 1747]
Universit¨
at Erlangen-N¨
urnberg,
Universit¨
at G¨
ottingen,
[984, 1017]
[562]
Universit¨
at Osnabr¨
uck, [42]
Universit¨
at W¨
urzburg,
[1597]
Universit´
e Libre de Bruxelles,
[1010]
[33]
Universit´
e McGill,
[546]
[1442]
Christian Brothers University,
Universit´
e de Bruxelles, [1663]
[1601]
Ecole Polytechnique F´
ed´
erale de Lausanne,
Eindhoven University of Technology,
[1394]
[1350]
Utrecht University,
[208]
[1393]
Friedrich-Alexander-Universit¨
at Erlangen-N¨
urnberg, [1732]
INRIA,
University of Turku,
Victoria University of Technology,
[244]
total 51 reports in 38 institutes
Patents
4.5
15
Patents
The following list contains the names of the
patents of genetic algorithms in operations research. The list is arranged in alphabetical order
by the name of the patent.
A packet scheduler and method,
[919]
Device and method for generating schedule, and recording
medium with schedule generating program recorded
theorem, [903]
Device and method for scheduling and recording medium
stored with its scheduling program, [896]
Digital system, clock signal control method for the same
and recording medium storing processing program
to be run by the method, [905]
Load schedule planning method,
[920]
Mathod and device for selecting route,
[741]
Method and device for scheduling job shop,
[137]
Method and device for scheduling personnel arrangement,
and recording medium recording personnel arrangement scheduling program, [902]
Method and system for parking lot guidance,
[1232]
Method for determining introducing order of power source,
[1095]
Method for optimally searching route,
[768]
Method for scheduling instruction string,
[1063]
Method for scheduling physical distribution in rolling mill,
[1040]
Optimum route and optimum circulation route searching
method, [647]
Optimum route searching method,
[795]
Raw material yard operation plan preparing method, [1123]
Route constitution design device for mobile object,
Routing method using a genetic algorithm,
[644]
[804]
Schedule generating device and recording medium recorded
with schedule generating program, [921]
Scheduling Method,
[1182]
Scheduling method,
[931]
Scheduling method and device,
[1308]
Semi-optimal path finding in a wholly unknown environment, [651]
Stacking scheduling device and method using genetic algorithm, [923]
System and method for genetic algorithm scheduling systems, [1275]
System for resolving job shop scheduling problem,
[100]
Taboo searching device, [915]
Traffic routing in a telecommunications network, [649, 726]
Wiring route design support method,
[798, 809]
Work stop schedule adjusting/assisting system for power
system, [1307]
total 30 patents
16
Genetic algorithms in operations research
Authors
4.6
17
Authors
The following list contains all genetic algorithms in operations research authors and references to their
known contributions.
Aamu, Andoo,
Aarts, E. H. L.,
Abbott, L. A.,
Abbott, R. J.,
[1554]
Alander, Jarmo T.,
[69, 1542, 315,
1746, 1465, 316, 843, 1466, 1747]
[1726]
Al-Attar, Akeel,
[975]
Alba, Enrique,
[373, 375]
[974]
[1006, 1021,
Albarran, M. de las Mercedes Gomez,
1088, 1152]
Anagnostopoulos, I.,
[656]
Anandaraj, V.,
[1255]
Andersen, B.,
[977]
Anderson, Edward J.,
[388]
Andr´
as, Andr´
as,
[303]
Andreoiu, Adrian,
[925]
Andrews, J. D.,
[615]
Anlagan, O.,
[1181]
Anon.,
[827]
[721]
Abboud, Nicolas,
AbdSamat, P.,
Abe, S.,
Abela, J.,
[483]
[276, 279]
[1338, 1370]
[1492, 1493,
Abramson, David,
[1325]
Alcaraz, J.,
[357]
Aldana Montes, Jos´
e Francisco,
[52,
1596]
Ansari, Nirwan,
1494, 1375]
Abhary, Kazem,
Alberti, N.,
[757]
[1492, 1493,
1494, 1374, 1375]
[987, 1155,
Aldridge, C. J.,
[1099, 1346]
Alexandrov, D.,
[1476]
Antonio, John K.,
[892, 930]
Alexouda, Georgia,
[333]
Aoki, A.,
[177]
Arabas, J.,
[227]
Arakawa, Takemasa,
[1224]
Araki, D.,
[1202, 1237]
1412]
Acierno, Antonio d’,
[228]
Alfieri, C. A.,
[1060]
Adamidis, P.,
[1537]
Al-Hakim, Latif,
[85]
Adelsberger, H. H.,
[1184]
Al-Harkan, Ibrahim,
[151]
Adleman, Leonard M.,
[857]
Ali, Hesham H.,
[713]
Affenzeller, Michael,
[1569]
Ali, Shahid,
[976]
Aggarwal, Charu C.,
[443]
Aljaber, Nasser,
[392, 1103]
Aguilar, J.,
[68]
Allan, G.,
[444]
Ahmad, I.,
[1046]
Allaoua, Hemmak,
[958]
Ardakan, Mostafa Aboue,
Allemand, Kim,
[484]
Ardell, David H.,
[50]
Allen, E. B.,
[605]
Arita, M.,
[1642]
Al-Sultan, K. S.,
[412, 526]
Ahmad, Imtiaz,
[932, 1022,
1065, 1089, 1093, 1153]
Ahmad, Ishfaq,
[932, 1065,
1246]
Ahmed, Z.,
[963]
Ahn, Hee II,
[709]
Ahuja, Sanjay P.,
[582]
Aickelin, U.,
[354]
Ainon, Raja N.,
[1502]
Ait-Kadi, D.,
[639]
Araki, M.,
[1161, 1172,
1286]
Araki, Miyuhiko,
[1460]
Arapakis, P.,
[1537]
Aravindan, P.,
[83, 1113,
1255, 1298, 1319]
[580]
Arkadan, Abdul-Rahman A.,
[268]
Arslan, T.,
[1062, 1176]
Arulambalam, A.,
[1155]
Arunkumar, S.,
[394, 1376]
Altiparmak, F.,
[346, 612, 614]
Altiparmak, Fulya,
[604]
Altus, Stephen S.,
[1100]
Asakuma, Yasushi,
[768, 798, 809]
Alves, J. C.,
[1576]
Atlan, Laurent,
[196]
Alves, Jos´
e C.,
[1573]
Autere, Antti,
[842, 11]
Avila-Roman, J. M.,
[1568]
Awadh, Bahaa,
[391]
Ambati, Balamurali Krishna,
[1682,
1683]
Aiyoshi, E.,
[63]
Ambati, Jayakrishna,
[1682, 1683]
Axmann, Joachim K.,
[1177, 1254]
Aizawa, A. N.,
[1087]
Amin, S.,
[1578]
Aydin, Mehmet E.,
[90]
Aizawa, J.,
[1655]
Amini, M. M.,
[695]
Aye, T.,
[735]
Aizpuru, J. R. Z.,
[104]
Amini, Mohammad M., [471]
Aytug, Haldun,
[321, 381,
413, 447, 178]
Akagi, Shinsuke,
[313]
Amini, Mohammed M., [1601]
Akatsuka, N.,
[998]
Amphlett, Robert W.,
[1023, 1154]
Azadnia, Amir Hossein, [970]
Akutsu, Masami,
[896]
Anagnostakis, K.,
[782]
Azzaro-Pantel, Catherine, [1268, 1354]
Alabas, C.,
[346]
Anagnostopoulos, C.,
[656]
Baba, Toshimitsu,
Azadivar, Farhad,
[485]
[521]
18
Genetic algorithms in operations research
Babu, A. Ramesh,
[310]
Bayes, Tom,
Babu, N. Ramesh,
[310]
Bean, James C.,
Bac, Fam Quang,
[1684]
[291]
[991, 1024,
152, 446, 1326, 1378, 1379]
Beasley, J. E.,
Bachelet, Vincent,
[548]
B¨
ack, Thomas,
[224, 58, 1471]
[335, 378,
418, 456, 236]
Beaty, Steven J.,
[1380, 1381,
1382]
Backhouse, P. G.,
Baek, Dong Hyun,
[444]
Beauvais, J.-P.,
[1296]
Beck, Noah,
[922]
Becker, B.-D.,
[1446]
[926]
Bael, P. Van,
[191]
Bael, Patrick Van,
[82]
Bagchi, Sugato,
[1377, 197]
Bagchi, Tapan P.,
[1360]
Becker, Bernd,
[724, 25, 738,
769]
Blagajac, S.,
[712, 736]
Blanton, Jr., Joe L.,
[813, 814]
Blekas, K.,
[481]
Bloebaum, C. L.,
[994]
Blume, Christian,
[978, 539]
Blun´
ar, K.,
[779]
Bober, Peter,
[949, 295,
1355]
Boctor, F. F.,
[1102]
Boettcher, Stefan,
[1543]
Boffey, T. B.,
[499]
Beckwith, S. F.,
[1027]
Bogess, J. E.,
[1204]
Bahreininejad, Ardeshir, [97]
Begin, R.,
[773]
Bolat, A.,
[330]
Bailey, R. N.,
[1227]
Belfore, II, Lee A.,
[268]
Boll, Helmut,
[520]
Baita, Flavio,
[1025]
Beli¨
en, Jeroen,
[956]
Bolloni, H.-W.,
[1254]
Bakirtzis, A.,
[309]
Bene, Jozsef Gergely,
[966]
B¨
ol¨
oni, Ladislau L.,
[922]
Balakrishnan, J.,
[1599]
Bengio, S.,
[745, 748]
B¨
olte, Andreas,
[430]
Balaram, A.,
[1217]
Ben-Haim, Hanoch,
Bonabeau, Eric,
[787]
Bonachea, Dan,
[1544]
Bonnet, J´
erˆ
ome,
[196]
Borgvall, H.,
[796]
Balasekar, S.,
Balio, R. Del,
[1155]
[1696, 557]
Bandelt, H.-J.,
[1726]
Banzhaf, Wolfgang,
[1685, 71]
Baracco, P.,
[1060]
Baraglia, R.,
[1552]
Barbucha, Dariusz,
[677]
Barcia, R. M.,
[1126, 154,
184]
Benic, D.,
Benuskova, L.,
[1489]
Berger, H.-D.,
[1254]
Berger, J.,
[358, 773]
Bernal-Haro, Leonardo, [1268]
Bernard, R. N.,
[1244]
[1653]
Barolli, L.,
[786]
Beyer, Hans-Georg,
Bartlett, L. M.,
[1556, 1638,
1644, 1686, 1687]
[662]
[615]
[1067]
Berg, J. van den,
Bertsekas, Dimitri P.,
[255]
[976]
Borne, P.,
[84, 131, 163,
169, 185]
[358]
Barros, Rodrigo C.,
[1191]
Benten, Muhammad S. T.,
Barkaoui, M.,
Barreiros, Jorge,
[595, 608,
630, 281]
Bhadury, Joy,
[350]
Bhattacharrya, Siddartha,
[413, 447]
Bortfeldt, A.,
[16, 445]
Bortfeldt, Andreas,
[220, 349]
Boryczka, M.,
[1271]
Boryczka, U.,
[1553, 1271]
Boseniuk, Thorsten,
[1688, 1689,
1690]
Bossomaier, Terry,
[707]
Bouchard, D. E.,
[710]
Bouffouix, S.,
[1400]
Bouillard, Philippe,
[578]
[925]
Bounds, P. L. M.,
[1363]
[1297, 799]
Bounsaythip, Catherine,
Basart, J. M.,
[1485]
Bhattacharya, Kankar,
Basgalupp, M´
arcio P.,
[255]
Bidwell, G.,
Baterekh, A.,
[508]
Biegel, John E.,
[1383]
Bates, S.,
[963]
Bielza, C.,
[362, 369]
Batta, Rajan,
[350]
Bierwirth, Christian,
Baudet, Philippe,
[1268, 1354]
[297, 300,
307, 28, 793]
[102, 1028,
1054, 112, 122, 1328, 1329, 1384,
1385]
Bowden, Royce O.,
[139, 815]
Bradshaw, A.,
[1032]
Bradwell, R.,
[1632]
Braglia, Marcello,
[440]
Braha, D.,
[1299]
Braich, Ravinderjit S.,
[857]
Bignall, B.,
[1270]
Baumgartner, Joseph P., [1007]
Biles, William E.,
[24]
Baxter, M. J.,
[1026]
¨
Bilge, Umit,
[460]
Brandt, H.,
[692]
Bayard, David S.,
[1341]
Bin, Li,
[140, 148]
Braun, Heinrich,
[1691]
Bayes, T.,
[290]
Bitterman, Thomas A., [877]
Braun, Tracy D.,
[922]
Bauer, T.,
[1129]
Authors
19
Br¨
aysy, Olli,
[648, 652, 653,
654, 665, 667, 788, 800, 808, 811]
Campbell, M. L.,
[1006, 1021,
Chang, I.,
[1406]
Changshui, Zhang,
[213, 113]
1088, 1152]
Bricker, D.,
[624]
Candido, M. A. B.,
[154, 184]
Brind, C.,
[698]
Cao, H.,
[161]
Briscoe, Jeri M.,
[253]
Cao, Heng,
[1199]
Brizuela, Carlos A.,
[883]
Carballedo, E.,
[1577]
Brockus, C. G.,
[816]
Cardoen, Brecht,
[956]
Cardon, Alain,
[181]
Carlos, S.,
[899]
Chen, Chuen-Lung,
Carnahan, B. J.,
[1331]
Carnahan, Brian J.,
[882, 1188]
Carneiro, A. A. F.,
[1266, 1314]
Brown, Donald E.,
[435, 556,
1395, 500, 818]
Brudaru, Octav,
[1666]
Bruno, Giuseppe,
[228]
Bruns, Ralf,
[1386, 1387,
1388]
Bruten, J.,
[730]
Buckles, Bill P.,
[1692]
Bud, A. E.,
[1179]
Bui, Thang Nguyen,
[1579, 555]
Bull, David R.,
[1023, 1154]
Burais, No¨
el,
Caro, Gianni Di,
[1663, 1667]
Carpenter, Tamra,
[450]
Carrasquero, N´
estor,
[565, 569]
Carrera, Cecilia,
[415]
Carrier, Jean-Yves,
[1617]
Carse, Brian,
[700, 747]
Carter, Bob,
[62]
Carter, J. N.,
[59]
[247, 1510,
273, 1533, 1534]
[934]
Charalambous, C.,
[1189]
Chatterjee, Sangit,
[415]
Chellapilla, I.,
[1634]
Chelyapov, Nickolas,
[857]
Chen, Ching-Dong,
[699]
[392, 1103,
424, 426]
[263]
Burke, E. K.,
Chantaravarapan, Samarn,
Chen, C.-P.,
[497]
Chen, Gwo-Dong,
[1610]
Chen, H.,
[190]
Chen, Heng,
[611]
Chen, Huiqin,
[1574]
Chen, Hung-Nan,
[519]
Chen, J. C.,
[1557]
Chen, J. W.,
[293]
Chen, Jyh-Horn,
[912]
Chen, P.,
[267]
Chen, Peng,
[250, 262]
Burke, Edmund K.,
[944]
Carter, Jonathan Neil,
[402]
Chen, P.-H.,
[1282]
Burns, G. R.,
[79, 1288]
Cartwright, Hugh M.,
[980, 1390]
Chen, Po-Hung,
[1128]
Burt, G. M.,
[924, 1346]
Carvalho, A. C. P.,
[1266, 1314]
Chen, R.,
[619]
Burton, Scott Andrew,
[577]
Carvalho, Andr´
e C. P. L. F.,
Chen, S.,
[907]
Bush, B. O.,
[1071]
Carvalho, P. M. S.,
Chen, Shu-Heng,
[328]
Bush, B.,
[866]
Caskey, Kevin Richard, [1391]
Chen, Tan Kay,
[343]
Butler, R. M.,
[1192]
Caskey, Kevin,
[143]
Chen, T.,
[624]
Butler, Ralph M.,
[1222]
Castillo, Luis,
[462]
Cheng, Runwei,
Buttitta, B.,
[817]
Caux, Christophe,
[1594]
Bl˙zewicz, Jacek,
[123]
Cavalier,
[989]
Cheng, S.,
[621]
Celano, G.,
[1337]
Cheng, Sheng-Tzong,
[620]
Cesteros, A. M. F.-P.,
[721]
Cheng, T. H.,
[1217]
Chakroborty, P.,
[1272, 1321]
Cheng, Wu,
[1292]
Chan, C. K.,
[480]
Caballero-Morales,
Santiago-Omar,
[98]
Cabot, A. Victor,
[463]
Cai, X.,
[329, 210,
1055, 1168, 1358]
[953]
[887]
Chan, W. T.,
[256, 259,
[981, 1587,
704, 1081, 1090, 1132, 135, 596,
1173, 1229, 173, 1300, 1334, 192]
Chetty, O. V. Krishnaiah,
[911]
Cheung, John Y.,
[34]
Cai, Xiaoqiang,
[1241]
Chiacchio, Ferdinando,
[965]
Cai, Ziyong,
[438]
Chan, Weng Tat,
[252]
Chiang, Li-Yang,
[657]
Calegari, P.,
[70]
Chandrasekaran, S.,
[607]
Chicano, Francisco,
[375]
Calonaci, Cristiano,
[965]
Chang, C. S.,
[1474]
Chicano, J. Francisco,
[373]
Calvely, David,
[87]
Chang, Chir-Ho,
[34]
Chidambaram, Rama,
[943]
Cambiaghi, D.,
[867]
Chang, Chung-Ju,
[1348]
Chikhani, A. Y.,
[710]
Campbell, James E.,
[593]
Chang, H.-C.,
[1282]
Chiou, Yu-Chiun,
[344]
Campbell, James,
[584]
Chang, Hong-Chan,
[1128]
Chiu, Nan-Chieh,
[1351]
1211]
20
Genetic algorithms in operations research
Chiu, Yung-Feng,
[1247]
Conru, Andrew B.,
[678]
Daneshmand-Mehr, M., [96]
Cho, B. J.,
[121]
Conway, Daniel G.,
[382, 463]
Dardilhac, D.,
[478]
Cho, Tsu Won,
[709]
Cook, Deborah F.,
[312]
Dasgupta, Dipankar,
[1428, 1429]
Cho, Yongkyun,
[482]
Cook, Diane J.,
[992, 1007]
Daskin, Mark S.,
[372]
[202, 1383]
[206]
Chockalingam, T.,
[394, 1376]
Cooling, J. E.,
[982]
Davern, James John,
Choi, G. S.,
[774]
Copeland, B.,
[776]
David, Wu S.,
Choi, Jae Young,
[393]
Coray, G.,
[70]
Davis, Lawrence,
Choi, S.,
[929]
Corcoran, Arthur L.,
Chong, T. Y.,
[289]
Corcoran, III, Arthur Leo,
Chou, C. S. V.,
[1287]
Cordon, O.,
[278]
Choudhry, I. A.,
[1193]
Corn, Robert M.,
[846]
Christodoulou, N.,
[1059]
Corne, David W.,
Christou, Ioannis T.,
[889]
[1595]
[1580, 47]
[1504,
1507, 1509, 1511, 1520, 125, 1473,
728, 145, 1401, 1435]
Chu, C.,
[952, 619]
Corne, D.,
Chu, Lon-Chan,
[55, 1087]
Correa, R. C.,
[1104, 1357]
Chu, Paul C.,
[418, 456, 236]
Costa, Daniel,
[1030, 1394]
Chudzik, K.,
[1190]
Costa, Ernesto,
[662]
Chung, Yung-Yi,
[1313]
Cotta, Carlos,
[231]
Chunlin, Shen,
[760]
Cotta Porras, Carlos,
[52, 1596]
Ciesielski, Vctor B.,
[1274]
Cox, Louis Anthony, Jr., [825]
Cipollone, Maurizio,
Clarke, J. A.,
Clarkson, Mark,
Clay, Paul,
Clay, P.,
Clemente-Guerrero,
[576]
[273]
[1029]
[291]
[290]
Dulce-Mar´ıa,
[98]
[1470, 1397,
72, 1398, 825]
[1532]
Davoian, K.,
[1566, 1570]
Dawid, Herbert,
[442]
Dazhen, Ye,
[722]
Deb, Kalyanmoy,
[337]
Deb, K.,
[1272, 1321]
DeChaine, Michael D.,
[1031]
Deeter, Darren L.,
[603]
Deeter, D.,
[617]
De Causmaecker, P.,
[944]
Delchambre, A.,
[32]
Delgado, Antonio,
[1293]
Delgado-Frias, Jose G., [1585, 1608]
Della Croce, Federico,
[395, 1060]
Craenen, B. G. W.,
[844]
Delmaire, H.,
[546]
Crauwels, H. A. J.,
[144]
De Miguel, I.,
[664]
Crispin, A. J.,
[290]
Demeulemeester, Erik,
[956]
Crispin, Alan,
[291]
Demirhan, Malek,
[327]
Cui, Jun,
[1699, 1700]
Denby, B.,
[983]
Culberson, Joseph C.,
[317]
Dengiz, B.,
[346, 612, 614]
Culbreth, C. T.,
[1342]
Dengiz, Berna,
[604]
Cleveland, Gary A.,
[1392]
Cumming, A.,
[1515, 1541]
Deplanche, A.-M.,
[1296]
Cloete, Ian,
[1467]
Cumming, Andrew,
[1506, 1518]
Deris, Safaai,
[488]
Cluitmans, L. J. M.,
[1393]
Cung, Van-Dat,
[550]
Deris, S.,
Cochran, J. K.,
[519]
Curry, B.,
[361]
Cochrane, P.,
[1578]
Czarnowski, I.,
[1343]
Coelho, Rajan Filomeno, [578]
Dabs, Tanja,
[1597]
Cohoon, James P.,
Dachwald, Bernd,
[655]
Coit, D. W.,
Coit, David W.,
[1656]
[51]
Dagli, C. H.,
160]
[573, 591,
594, 439]
Coit, D.,
[103, 1185,
[616]
Colorni, Alberto,
[401, 431,
554, 1495, 1496, 1497, 561, 1499]
[1530, 276,
279]
Deschaetzen, W. B. F., [1276]
Destefano, Joseph J.,
[1275]
Devaney, M. J.,
[884]
Devogelaere, D.,
[191]
Devogelaere, Dirk,
[82]
Dagli, C.,
[1396]
Dewey, John,
[948]
Dagli, H. Cihan,
[30]
Dezaley, D.,
[478]
Dhodhi, M. K.,
[1046]
Dahal, K. P.,
[924, 271,
274, 1346]
Dhodhi, Muhammad K.,
[932, 1022,
Commare, U. La,
[1337]
Dai, Xiaoming,
Condon, Anne E.,
[846]
Dalessandro, S. Vianna, [790]
Diao, Xiaodi,
[971]
Cone, Milton L.,
[1156]
Dalton, John,
Diaz, F.,
[1577]
[1561]
[87]
1065, 1089, 1093, 1153]
Authors
21
Dickinson, S. J.,
[1032]
Dugan, J.,
[626]
Erkens, E.,
[691]
Didriksen, J. N.,
[1033]
Duhamel, C.,
[739, 749]
Erkmen, A. M.,
[1181]
Esbensen, Henrik,
[1480, 1481,
Dighe, Rahul,
[301]
Dullaert, Wout,
[665]
Di Martinelly, C.,
[951]
Duncan, Tim,
[701]
Eschbach, O.,
[118]
Di Paolo, Ezequiel A.,
[962]
Dussa-Zieger, K.,
[1194, 1316]
Esquivel, S. C.,
[91]
Dimopoulos, C.,
[1333]
Dussa-Zieger, Klaudia,
[1106, 1277]
Esterline, Albert C.,
[1671]
Ding, M. Y.,
[777]
Duvivier, D.,
[124]
Ettl, Markus,
Dini, Gino,
[881]
Dissanayake, M. W. M. G.,
[218]
D.Vetturi,
[867]
Dvoˇr´
ak, Jiˇr´ı,
[1203, 1295]
[1672]
Dzubera, J.,
[1581]
Djerid, Lamia,
[1105]
Easton, Fred F.,
[490, 1399]
Do, Wei-Yuan,
[645]
Ebeling, Werner,
[1688, 1689]
Doerner, Karl,
[374]
Eberbach, E.,
[706]
Doi, Hirofumi,
[246]
Eblenkamp, Martin,
[203]
Domenech, Serge,
[1268, 1354]
Egawa, Takami,
[644]
[370]
Eguchi, Toshihiro,
[1308]
[123]
Eiben, A. E.,
[844]
Dong, X.,
[936]
´
Eiben, Agoston
E.,
[1575]
Dorigo, Marco,
[1010, 401,
431, 1159, 1635, 1663, 787, 1667,
1495, 1496, 1497, 561, 1499]
Eyada, O.,
[1126]
Fadel, Georges M.,
[26]
Falco, I. De,
[1696, 557]
Falkenauer, Emanuel,
[21, 23, 528,
1400, 32, 33, 502]
Falkenhausen, K. von,
[503]
Fan, Alex,
[1491]
Fang, Hsiao-Lan,
Domschke, Wolfgang,
Dong, Yong-feng,
[984, 1008,
1034]
Dizdarevic, S.,
Dom´ınguez-Mar´ın, Patricia,
697, 1482, 1483]
[109, 1216,
871]
´
Eiben, Agoston,
[1615]
Eigen, Manfred,
[1697]
[1504, 1507,
1509, 1511, 125, 145, 1401, 1402,
1435]
Fang, S.-C.,
[524]
Fang, Shu-Cherng,
[527, 1351]
Fang, W. G.,
[1198]
Fang, Yang,
[376]
Fanti, M. P.,
[157, 1294]
Farhi, Edward,
[1550]
Dorndorf, Ulrich,
[396, 1438]
Ejlersen, O.,
[1129]
Farrell, K. W.,
[1244]
Dorne, Rapha¨
el,
[858, 859, 862]
Eldridge, B. D.,
[1567]
Fasung, J.,
[1067]
Dorsey, Robert E.,
[496]
ElGindy, Hossam,
[888, 933]
Faulkner, Graeme,
[1598]
Fedjki, C. A.,
[526]
Fei, H.,
[952]
dos Santos, Pedro Vieir, [1576]
Elmakis, David,
[568, 595,
606, 630, 281]
Dowdy, Lawrence W.,
[1051]
Dowsland, Kathryn A., [416, 433]
Dozier, Gerry V.,
Drake, P. R.,
Drechsler, Rolf,
[1671]
[1180]
Elmekkawy, Ty,
[963]
Elrad, T.,
[1306]
El-Rayes, Khaled,
[950]
Endo, Hiroshi,
[1095]
Engelbrecht, A. P.,
[733]
Ferland, Jacques A.,
Feltus, Madeline Anne, [1031]
[1193]
[724, 25, 738,
769, 1262]
Drexl, Andreas,
Elmaraghy, H. A.,
[1526]
Feng, Fang,
[250]
Feng, Rui,
[1561]
Fennel, Theron Randy,
[1009]
Ferariu, L.,
[637]
[863, 432, 64,
558]
Drezner, T.,
[542]
Engell, Sebastian,
[893, 1309]
Drezner, Z.,
[542]
Engst, Norbert,
[1732]
Drias, Habiba,
[851, 854]
En-Hong, Chen,
[216]
Fernandez-Pampillon-Casteros,
M., [753]
Drummond, L. M. A.,
[775, 789]
Enjoji, Atsushi,
[903]
Fernandez-Villanacas, J.-L.,
Drummond, Lucia M.A., [1602]
Erben, Wilhelm,
[1512, 1517]
Fernando, Merennage Arosha Anthony Chandana, [670]
Drummond, Lucia Maria De A., [790]
Erbudak, M.,
[1181]
Ferreira, A.,
[1104, 1357]
Du, Gang,
[971]
Erdem, E.,
[356]
Ferreira, J. C.,
[1576]
Dub´
e, Danny,
[685]
Erel, Erdal,
[467]
Ferreira, L. A. F. M.,
[887]
Dube, D.,
[743]
Erenguc, S. Selcuk,
[383]
Ferreira, L.,
[1200]
Ducatelle, F.,
[363]
Ergul, A.,
[1513]
Ferrero, S. W.,
[91]
Fern´
andez del Pozo, J. A.,
[362, 369]
A.
[1578]
22
Genetic algorithms in operations research
Ferris, Michael C.,
[388]
Fu, Zhiwei,
[360]
Garigliano, Roberto,
[1723]
Ficek, Rhonda Janes,
[821]
Fudo, Hiroyuki,
[280]
Garner, K. M.,
[1227]
Fichera, S.,
[1068, 1337]
Fuente, D. de la,
[319]
Gause, Donald C.,
[1585, 1608]
[1126, 154]
Figielska, E.,
[1280, 1336]
Fujihara, Yutaka,
[1196]
Gauthier, F. O.,
Filipec, Minea,
[752, 765, 772]
Fujikawa, H.,
[1655]
Gedeon, T.,
[1223]
Filipic, B.,
[1369]
Fujikawa, Hideji,
[1614]
Gee, J.-Y.,
[492]
Gehring, Hermann,
[220, 349]
Gehring, H.,
[445, 792]
[377]
Filipiˇ
c, Bogdan,
[985, 1069,
1403, 1404]
Fujimoto, H.,
[1035, 150,
1178]
Finnemann, H.,
[1254]
Fujimoto, Hideo,
[1070]
Gel, Esma S.,
Fischer, Marco,
[891]
Fujimoto, Y.,
[618]
Gen, M.,
[587, 589,
590, 1148, 601, 464]
Fleming, P. J.,
[938, 1115,
Fujioka, Ryosuke,
[644]
Fujisawa, Masaaki,
[896]
Fujita, Kikuo,
[313]
Gen, Mitsuo,
1139, 1209, 1256, 1345]
Fleming, Peter J.,
Fleurent, Charles,
[1026]
[863, 432, 64,
Fukuda, Toshio,
558]
[1622, 1224,
1258, 235, 1664]
Flores, B.,
[1730]
Flores-Juan, JorgeCarmen,
[374]
Fogarty, Terence C.,
[90, 700, 1086,
747, 1699, 1700]
Fogel, David B.,
[1549, 441,
1634, 1701, 822, 1702, 1703, 1704]
Fogel, Lawrence J.,
Folino, Gianluigi,
Fukuda, Toyoo,
[1417]
Genco, A.,
Fukui, T.,
[1261]
Gendreau, Michel,
Fukui, Tuyoshi,
[1212]
Fukuoka, Yuji,
[923]
Fukushima, M.,
[98]
Focke, Axel,
[945]
[280]
[1535]
Geraci, M.,
[823]
Fukuyama, Yoshikazu,
[1095]
Gerdes, Ingrid,
[679, 702]
Fulkerson, B.,
[214]
Germay, No¨
el,
[1407]
Fullin Barco, Clarissa,
[968]
Gerodimos, A. E.,
[465]
Fuquay, D’Ann,
[1739]
Gerys, D.,
[1452]
Furtado, Jo˜
ao Carlos,
[1475]
Ghadimi, Pezhman,
[970]
Ghashghai, Elham,
[348]
Ghedjati, F.,
[189]
Ghent, J.,
[940]
Gil, Joon-Min,
[959]
Gilkinson, J. C.,
[1071]
Glesner, M.,
[1408]
Glover, David E.,
[501]
Glover, Fred,
[384, 397]
[441, 822]
[850]
Font, Enrique,
[1293]
Fontain, Eric,
[559]
Foote, Bobbie,
[34]
Foster, Bryce T.,
[469]
Furukawa, Masashi,
Fotheringham, A. F.,
[444]
Fwa, T. F.,
Fowler, John W.,
[377]
Fox, Bennett L.,
[498]
Fox, Geoffrey C.,
[1405]
Furuhashi, Takeshi,
[1049, 1078,
200, 1461]
[916, 1157]
[252, 256,
259, 1211]
[1395]
Gabriner, Daniel C.,
[1275]
Gadola, M.,
[867]
Gafoor, Arif,
[1093]
Gage, Peter J.,
[1100]
Gagne, Caroline,
[897]
Godinho Filho, Moacir, [968]
Galinho, Thierry,
[181]
Godza, G.,
[304]
Gallard, R. H.,
[91]
Goh, Kai Song,
[94]
Gohtoh, Tomokazu,
[127, 149]
Gold, S¨
onke-Sonnich,
[1732]
Goldberg, David E.,
[1705]
G¨
ockel, Nicole,
[904]
[861]
Frank, P. M.,
[637]
Freisleben, Bernd,
Gabbert, Paula S.,
[340]
Frank, J.,
[540, 1618,
1646]
Freisleben, B.,
[553]
Gallego, Olatz Arbelaitz,
[659]
Freund, Richard F.,
[922]
Gambardella, Luca M.,
[1635, 1663,
1667]
Frick, A.,
[1650]
Frutos, Anthony G.,
[846]
Fu, Li-Chen,
1313]
[653, 654,
663, 665, 667]
Genji, Takamu,
[1345]
Franck, Birger,
[711]
Geneste, L.,
Fonseca, C. M.,
Fran¸ca, Paulo M.,
[981, 205,
581, 1587, 211, 212, 1015, 1019,
704, 110, 1081, 1090, 421, 1132,
135, 596, 598, 1173, 599, 600, 1215,
453, 1229, 173, 1273, 1300, 1662,
622, 627, 629, 628, 1334, 491, 242,
634, 635, 192, 1362, 640, 1406]
[724, 25, 738,
769, 1262]
Gammack, John G.,
[1699]
Goldberg, David,
[1562]
Gang, Shen,
[113]
Golden, Bruce,
[360]
Garavelli, A. C.,
[525]
Goldstone, Jeffrey,
[1550]
[912, 1247,
Authors
G´
omez, A.,
23
Gu, Jun-hua,
[319]
[1575]
Hammadi, S.,
[84, 131, 163,
169, 185]
G´
omez, M.,
[362, 369]
Gu, Ming,
Gomez-Albarran, M.,
[753]
Guan, Shanguchuan,
Gomez-Pulido, J. A.,
[1568]
Gonz´
alez, Antonio,
[462]
[669]
Han, Huan-ping,
[1575]
Han, Kuk-Hyun,
[222]
[791]
Han, LiBin,
[967]
[837, 838]
Han, Sangheon,
[660]
Han, Seong-Ho,
[597]
Han, Seung-Kee,
[709, 1612]
Han, Tack-Don,
[1231]
Han, Youn-Hee,
[959]
[1707, 1708,
1718]
Guanqun, G.,
Gubbi, Ananda V.,
Gonzalez, Belzyt,
[1037]
Gonzalez, Carlos,
[1389]
Gonzalez, F. J.,
[682]
Guertin, F.,
Gonzalez, J. C.,
[664]
Guertin, Fran¸cois,
Gucht, Dirk Van,
[1706, 1710,
1736]
[727]
[1626, 739,
749, 755]
Gonz´
alez-Hern´
andez, Luis F.,
Goodchild, M. F.,
[1472]
Guillot, Agn´
es,
[390]
Hanagud, S.,
[579]
Guimaraes, Eduardo,
[1144]
Hanaki, Y.,
[1077]
Gui-Quan, Liu,
[216]
Handschin, E.,
[285]
[1261, 1657]
[506]
Goodman, Erik D.,
[296, 174,
1322]
Gopal, Rajeev,
[1706]
Guitart, P.,
[1485]
Haneda, H.,
Gopalakrishnan, S.,
[579]
Gupta, A. K.,
[1053, 1097]
Haneda, Hiromasa,
[1212]
Gupta, A.,
[1107, 1312]
Hanh, Pham Hong,
[1226]
Gupta, Ajay,
[986, 1072]
Hansdah, R. C.,
Gupta, Alay,
[1160]
Gorges-Schleuter, Martina,
Gorlatch, S.,
[1637]
[1566]
Gorman, Michael Francis,
[466]
Gorrini, V.,
[1010, 1159]
Gupta, J. N. D.,
[507]
Goto, Fumiyoshi,
[164]
Gupta, Jatinder N. D.,
[424, 426]
Gottlieb, J.,
[869]
Gupta, Mahesh C.,
[1423, 511]
Gouzu, Hidetaka,
[845]
Gupta, Yash P.,
Govaerts, B.,
[505]
Grabott, B.,
[945]
Graells, Mois`
es,
[1293]
[400, 408,
588, 1423, 511]
Graham, Paul S.,
Grasso, V.,
Gravel, Marc,
[1330]
Greenberg, Harvey J.,
[501]
Greenwood, G. W.,
Hansen, T. K.,
[193]
Hanshar, Franklin T.,
[671]
Hanshar, Franklin,
[668]
Hao, Jin-Kao,
[858, 859,
Happiette, M.,
Gutierrez-Gil, R.,
[1568]
Harmanani, Haidar M., [947]
Gutjahr, Walter J.,
[374]
Harmeling, Stefan,
[848]
Gutmann, Sam,
[1550]
Harris, F. C.,
[547]
Guvenir, H. Altay,
[467]
Harrison, D. K.,
[79, 1288]
Gwee, B. H.,
[302]
Hart, E.,
[1278, 1317]
Hadinoto, D.,
[1047]
Hart, Emma,
[187]
Hadj-Alouane, A.,
[1379]
Hartmann, S¨
onke,
[1302]
Hadj-Alouane, Atidel Ben,
[446]
862, 864]
[1245]
Hasebe, Shinji,
[1182]
Hagiya, Masami,
[845]
[986, 1072,
1160]
[370]
[1484]
[1097]
Greenwood, Garrison W.,
Hansen, Pierre,
Gutenschwager, K.,
[897, 473]
Green, Colin D.,
[366]
[1629]
[1068, 1337]
[454]
Hansen, James V.,
Gusfield, D.,
[1603, 1630]
Gravel, M.,
[686, 694,
705, 812]
Hasegawa, Yoshishige,
[1460]
Grefenstette, John J.,
[1706]
Hagiya, M.,
[1642]
Haseyama, M.,
[794]
Grewal, G. W.,
[1038, 1253]
Hahnert, III, W. H.,
[398]
Haseyama, Yoshinori,
[647, 795]
Grignon, Pierre N.,
[26]
Haim, Hanoch Ben,
[568]
Hashimoto, Iori,
[1182]
Grimes, C. A.,
[261]
Hajduk, J.,
[1067]
Hashimoto, Y.,
[1117]
Grladinovic, T.,
[1191]
Hajri, S.,
[84]
Hatakeyama, Takahisa, [804]
Gr¨
obner, Matthias,
[914]
Hajrizi, Edmond,
[1340]
Hatono, I.,
[53]
Grosche, Tobias,
[957]
Hamada, Kazuro,
[521]
Haupt, M.,
[538]
Gruau, Fr´
ed´
eric C.,
[1409]
Hamada, K.,
[618]
Hauw, J. K. van der,
[871]
Gu, Guochang,
[780]
Hamadani, Ali Zeina,
[580]
Havelock, P.,
[335]
24
Genetic algorithms in operations research
Hawaleshka, O.,
[391]
Hinterding, R.,
[22]
House, Randy lee,
[13]
Hay, Lee Loo,
[343]
Hinterding, Robert,
[223, 239, 244]
Howe, A. E.,
[1136]
Hayashi, Yasuhiro,
[1039, 269]
Hirahara, A.,
[53]
Hsieh, K. C.,
[1291]
[624]
He, C. H.,
[751]
Hiramatsu, Atsushi,
[840]
Hsieh, Y.,
He, Fei,
[669]
Hirano, H.,
[115]
Hsu, Chih-Ming,
[534]
He, L.,
[642, 1213]
Ho, Cheng Chen,
[1563]
Hsu, Chin-Chih,
[1614, 1655]
He, Zhenya,
[1678]
Ho, Chun-Ying,
[901]
Hsu, Ching-Chi,
[1698]
Heckendorn, Robert B., [873, 875, 876]
Hobbs, M. F.,
[1227]
Hsu, Hsi-Mei,
[522]
Heijligers, M. J. M.,
Hochman, R.,
[605]
Hsu, Jane Yung-jen,
[806]
Hsu, Y. C.,
[819, 820]
Hu, M.,
[936]
Hu, X. P.,
[186]
Hu, X. W.,
[293]
Hu, Xiao-Bing,
[962]
Huang, An-Chih,
[912]
Huang, C. M.,
[884]
Huang, Ching-Lien,
[1127, 266]
Huang, F.,
[618]
Huang, Shyh-Jier,
[275]
Huang, Wen-Chih,
[1469]
Huang, Yann-Chang,
[266]
Hudepohl, J. P.,
[605]
Hug, Hubert,
[852]
Hughes, J. G.,
[194]
Huihe, Shao,
[1561]
Hulsemann, M.,
[1162]
Hung, William N. N.,
[669]
Hung, Y.-F.,
[497]
[1041]
Heinonen, Jukka,
[942]
Hochst, B.,
[1269]
Heinzmann, F.,
[536]
Hogg, Tad,
[849]
Heitk¨
otter, J¨
org,
[224, 58, 20]
H¨
ohfeld, Markus,
[1109]
Held, M.,
[1408]
Holland, J. R. C.,
[1709]
Hemminki, Jarmo,
[12]
Holland, O.,
[730]
Hendrich, F.,
[1301]
Hollinger, Geoffrey A.,
[253]
Hendriks, C. F. W.,
[1045]
Hollmen, J.,
[254]
Hensgen, Debra,
[922]
Holm, Søren,
[543]
Heragu, Sunderesh S.,
[469]
Holsapple, Clyde W.,
[1411]
Herbert, E. A.,
[433]
Homaifar, Abdollah,
Hernandez, L. F. G.,
[1473]
Herrera, F.,
[278]
Herrero, J.,
[799]
Herrmann, J. W.,
[114]
Hertz, A.,
[70]
Hertz, Alain,
[320]
[1707, 1708,
1718]
Hesser, J.,
Hidalgo, J. I.,
Hidrobo, F.,
Homberger, J.,
[792]
Hon, K. K. B.,
[298, 314]
Hong, R.,
[1412]
Hong, S. C.,
[121]
Hong, Young Sik,
[1463, 1464]
Hong, Zhou,
[1248]
Hong-Wei, Huo,
[240]
Hoos, H.,
[1648]
Hopper, E.,
[334]
Hoque, Kh. Zahidul,
[252]
Huppe, B. S.,
[988]
Hoque, Kh. Z.,
[1211]
Hurley, S.,
[1414]
Husbands, Phil,
[1124]
[1486, 1487]
[1552]
Huntley, Christopher L.,
[68]
Hifi, M.,
[448]
Higgins, A.,
[1200]
Higginson, A. M.,
[1114]
Higuchi, Tetsuya,
[905]
1610]
Higuchi, T.,
[1150]
Hortos, William S.,
[661]
Hiho, T.,
[250]
Hos, Csaba,
[966]
Hill, Stephen,
[919]
Hosage, C. M.,
[506]
Hillermeier, C.,
[754]
Hostachy, P.,
[945]
Horng, Jorng-Tzong,
Hillermeier, Claus,
[1108]
Hou, Edwin S. H.,
[1469, 14,
Husbands, Philip,
[987, 1412,
1413]
Hilliard, M. R.,
[1425, 1426,
198, 1427, 510, 1717]
Hou, H. D.,
[435, 556,
1395, 500, 818]
[293]
[101, 537,
1430, 1431]
Hussain, M. F.,
[412, 182]
Hwang, Hee-Soo,
[585]
Hwang, Lain-Chyr,
[1348]
Hwang, M.,
[632]
Hwang, Ren-Hung,
[645]
Hwang, Shian-Miin,
[14]
Hinchman, J.,
[114]
Houck, Christopher R., [434]
Hyun, Chul Ju,
[429]
Hindi, K. S.,
[1189]
Houdayer, J.,
[1669, 1681]
Iba, Hitoshi,
[1554]
Hines, J.,
[547]
House, L. Randy,
[30]
Ibaraki, Toshihide,
[1013, 1119]
Authors
Ida, Kenichi,
25
[421]
Ida, K.,
[581, 587,
Iwahashi, K.,
[1035]
Johnson, David S.,
[1564]
Iwata, T.,
[990]
Johnson, John D.,
[496]
Jack, L. B.,
[248]
Johnson, Mika,
[1674]
Jacob, Varghese S.,
[1411]
Johnsson, Mika,
[66, 1643]
Jafarian, Javad,
[1572]
Joines, J. A.,
[1342]
Jain, A. K.,
[1180]
Joines, Jeffery A.,
[434]
Jain, Rajat,
[46]
Jokinen, Olli,
[793]
Jakiela, Mark J.,
[301]
Jones, Albert,
[1052, 1373]
Jakob, Wilfried,
[539]
Jones, Antonia J.,
[1606, 1694]
Jakobs, Stefan,
[419]
Jones, D. F.,
[347]
Janes, G. M.,
[1244]
Jones, M. S.,
[1219]
Janiak, A.,
[1190, 1249]
Jones, Terry,
[318]
Janikow, C. Z.,
[1371]
Jong, Kenneth A. De,
[878]
Janssens, Gerrit K.,
[95]
Jorge, Leon V.,
[206]
Joshi, S. B.,
[182]
J´
ozefowska, Joanna,
[1042]
Juell, Paul L.,
[834]
Jukes, Ken,
[1086]
Juliff, Kate,
[35, 36]
590, 600]
Ieumwananonthachai, A.,
[1087]
Ignizio, James P.,
[989, 436]
Ihlow, J.,
[190]
Iida, Y.,
[133]
Iima, Hitoshi,
[998, 126,
1138, 159, 1197, 1234, 1243, 177,
1415, 1416]
Iizuka, T.,
[771]
Ikeda, T.,
[308]
Ikeda, Y.,
[1738]
Ikesugi, E.,
[63]
Ikeuchi, T.,
[1202, 1237]
Ikkai, Y.,
[1073, 1110,
1202, 1237]
Jaramillo, Jorge H.,
[350]
Ikonen, Ilkka,
[24]
Jardine, A. K. S.,
[480]
Imai, A.,
[332]
Jaszkiewicz, Andrzej,
[345]
Inagaki, J.,
[794]
Jawahar, N.,
Inagaki, Jun,
[647, 795]
Indrusiak, Leandro Soares,
[964]
[92, 1113,
1255, 1298, 1319]
Jedrzejowcz, P.,
[1343]
Julstrom, Bryant A.,
Jenkins, N.,
[1223]
Ingerman, Eugene,
[1544]
Jenssen, Mikkel T.,
[917]
Inoue, Haruki,
[1232]
Jeong, I. J.,
[1341]
Inoue, K.,
[1657]
Jess, J. A. G.,
[1041]
Inoue, M.,
[1073, 1110]
Ji, P.,
[339]
Inoue, S.,
[1082, 1135]
Jian, Fang,
[156, 1252]
Jun, Sung-Soo,
[1677]
Jung, Jae Hak,
[1289]
Jung, Soonchul,
[1548, 1560]
Junginger, Werner,
[1514, 1075]
Junzhou, L.,
[791]
Kadaba, Nagesh,
Inoue, T.,
[1444]
Jiang, Zhibin,
[971]
Inuiguchi, Masahiro,
[322, 483]
Jianzhong, Mao,
[117, 147]
Kakazu, Y.,
Inuiguchi, M.,
[1444]
Jieyi, W.,
[791]
Kakazu, Yukinori,
Inza, I.,
[1672]
Jih, Wan-Rong,
[806]
Ip, W.H.,
[535]
Jin, Bingyao,
[1678]
Jin, Hui-Dong,
[1546]
Jin, Xu,
Irving, M. R.,
[1050, 1166,
1303]
Isern, G.,
[1668, 1680]
Ishibuchi, Hisao,
[996, 1016,
1084, 1145, 1163, 1171, 1170, 1175,
1240, 1265]
[1479, 1611,
1621, 1639]
[1418, 824,
1712]
[18]
[15, 1604,
1609, 1157, 37]
Kako, E.,
[1243]
Kalganova, Tatiana,
[65]
Kamal, A.,
[277]
[240]
K¨
am¨
ar¨
ainen, Olli,
[1352]
Jin, Y.,
[632]
Kamiya, A.,
[1098]
Jinguji, Takeshi,
[1232]
Kamiya, Akimoto,
Jobin, M.-H.,
[1076]
Ishibuchi, Hsiao,
[1284]
Ishigame, A.,
[54]
Ishikawa, A.,
[1074]
Jog, Prasanna,
Ismail, H. S.,
[298, 314]
Ivanova, Petya I.,
[1043, 1118,
1210, 1267, 1368]
Kampen, W. van,
[1489]
Kanasugi, A.,
[771]
[1710, 1736]
Kanatis, S.,
[1488]
Johnson, A. D.,
[720]
Kandil, Amr,
[950]
[323]
Johnson, Anthony D.,
[750]
Kanet, John J.,
[1713, 1419]
Ives, Robert,
[1124]
Johnson, Cliff,
[857]
Kang, Lishan,
[592]
Iwahashi, Kazuhiko,
[1070]
Johnson, D. S.,
[1695]
Kang, M. K.,
[725]
Jog, P. D.,
[1599, 1107,
1312]
26
Genetic algorithms in operations research
Kannan, J.,
[613]
Khan, Z.,
[451]
Kirkby, S.,
[785]
Kanoh, Hitoshi,
[1501]
Khator, S. K.,
[154, 184]
Kirkwood, I. M. A.,
[759, 763]
Kanzaki, Y.,
[1657]
Khoo, L. P.,
[894, 913]
Kirokawa, Noriyasu,
[313]
Khoo, Wee Sng,
[288]
Kishi, M.,
[1074]
Khoshgoftaar, T. M.,
[605]
Kita, Hajime,
[1588, 230]
Khouja, Moutaz,
[472]
Kita, H.,
[1641]
Khoukhi, A.,
[86]
Kitagawa, Mitsuhiro,
[1123]
Kitajima, Hideo,
[647]
Kitajima, H.,
[794]
Kitamura, S.,
[1285]
[845]
Kiyamoto, Masaaki,
[809]
Kikuno, T.,
[1238, 1310]
Klimasauskas, Casimir C.,
Kim, Chulhyun,
[1523]
Kloske, D. A.,
[680]
Kim, Dae Gyu,
[728]
Knezevic, Jezdimir,
[264]
Kim, Daijin,
[1523]
Knight, J.,
[1318]
Kim, G. H.,
[1158]
Knjazew, Dimitri,
[88]
Kim, Gil-Sang,
[585]
Knosala, R.,
[1239]
Kim, Gyoung H.,
[204, 1036]
Ko´
acs, Szabolcs,
[61]
Kao, Cheng-Yan,
[1469, 14, 17,
1610, 31, 1698]
Kapoor, Sanjay,
[1044]
Kapsalis, A.,
[504]
Karanta, Ilkka,
[793]
Karp, R.,
[1629]
Karr, Charles L.,
[1020]
Karro, John E.,
[1656]
Khuri, Sami,
[48, 224, 58,
1471, 20, 508]
Kidwell, Michelle D.,
[992, 1420,
1421]
Kiga, Daisuke,
Karthikeyan, Aravind A.,
[1319]
Karunanithi, Nachimuthu,
[450]
K¨
aschel, J.,
[891]
Kassotakis, Ioannis E.,
[641]
Katayama, Kengo,
[1658, 1670]
Kato, K.,
[243]
Kato, Kosuke,
[352, 107,
1137, 461, 470]
[1714]
Kobayashi, Shigenobu,
[80, 1043,
215, 1118, 1210, 1267, 1368, 1743]
Katoh, S.,
[1119]
Kim, Gyoung Hwan,
[1281]
Kawai, Kensuke,
[1368]
Kim, Han Gyoo,
[807]
Kobayashi, S.,
[1098]
Ka-Wai, Lee,
[210]
Kim, H.,
[257, 260]
Kobayashi, Yasuyoshi,
[923]
Kawai, S.,
[1002]
Kim, H.-S.,
[1283]
Kobayashi, Y.,
Kawakami, K.,
[1161]
Kim, Hyunchul,
[1039, 269]
Kawakami, Takashi,
[15, 37, 38]
Kim, Jae-Chul,
[597]
Kawakami, T.,
[18]
Kim, J.,
[634]
Kawamoto, S.,
[54]
Kim, Jong Ryul,
[627, 635, 640]
Kawamura, Kazuhiko,
[1377, 197]
Kim, Jong-Hwan,
[222]
[162, 1243,
177]
Kobler, Daniel,
[320]
Kobler, D.,
[70]
Koch, P.,
[1129]
Kochetov, Y.,
[1476]
Kochhar, Jasmit Singh, [469]
Kawaoka, Tsukasa,
[1545]
Kim, Jung-Ug,
[417]
Kawata, H.,
[1074]
Kim, Kap H.,
[758]
Kay, Michael G.,
[434]
Kim, Ki Y.,
[758]
Koh, A. L. G.,
[860]
Kayafas, E.,
[656]
Kim, Shin-Dug,
[1231]
Kohoma, Y.,
[625]
Kazarlis, S.,
[309]
Kim, S.,
[618]
Kok, Joost N.,
Kazerooni, M.,
[757]
Kim, S.-S.,
[908]
Ke, Ou,
[343]
Kim, Suk-Jun,
[1451]
Kelareva, Galina,
[283, 287]
Kim, Yei Chang,
[1463, 1464]
Kelly, James P.,
[384, 397]
Kemenade, C. M. H. van,
[1216]
Kim, Yeo Keun,
[429, 482]
Kim, Yeong-Dae,
[1111, 417]
Koehler, Gary J.,
[321, 381,
413, 447]
[1489, 1045,
109, 717, 1216, 1540]
Kokol, P.,
[284]
Koksalan, Murat M.,
[377]
Kolen, Antoon,
[1583, 75]
Kolodziejczyk, J.,
[232]
Komiya, Ken,
[845]
Keppler, J.,
[1517]
Kim, Yeongho,
[429]
Keppler, Joachim,
[1108]
Kim, Yong Ju,
[482]
Kettani, O.,
[1076]
Kimura, Hajime,
[1267]
Kondo, M.,
[1501]
Khabzaoui, Mohamed,
[851]
Kimura, H.,
[1098]
Kong, Nan,
[973]
Khan, L.,
[22]
Kindermann, J.,
[1720]
Konishi, Masami,
[644]
Komoda, N.,
[1073, 1110,
1202, 1237]
Authors
Konishi, Tatsuya,
27
[1307]
Kumar, Anup,
[582, 400,
Lee, C. S. G.,
[1158]
Lee, C. Y.,
[979, 1168]
Lee, Chae Y.,
[393, 153]
Lee, Chang Hyung,
[1289]
Lee, Chung-Yee,
[114]
Lee, F. C.,
[289]
Lee, H. C.,
[103, 160]
Lee, H.,
[908]
Lee, In-Beum,
[1289]
Lee, In,
[1201, 1447]
408, 588, 24, 1423, 511]
Koonce, D. A.,
[78]
Kumar, B. Senthil,
[92]
Kumar, N. S. Hemant,
[132]
Kopfer, Herbert,
[1500, 102,
1028, 1054, 122, 1715, 1422]
Kopfer, H.,
[365, 691]
Kundu, Malay K.,
[1675]
Korfhage, W.,
[1080]
Kunej, A.,
[284]
Korhonen, Pekka,
[377]
Kung, C. H.,
[884]
Kornilakis, Harry,
[928]
Kung, C. M.,
[884]
Koronacki, J.,
[1371]
Kuo, R. J.,
[341]
Korousic-Seljak, B.,
[982]
Kuonen, P.,
[70]
[1279]
Kureichick, V.,
[1623]
Lee, J. B.,
[1264]
Kureichik, Victor M.,
[296]
Lee, Jae-Kwan,
[1111]
Kuroda, Chiaki,
[128, 164]
Lee, Jong Beom,
[1207]
Koskim¨
aki, Esa,
Kosters, W.,
Kosugi, Yukio,
Koyama, A.,
[1216]
[265]
[786]
Kozan, Erhan,
[1200, 489]
Kozasa, Junji,
[1460]
Kozawa, N.,
[625]
Kragelund, Lars V.,
[136, 1529]
Krajcar, Slavko,
Kutar, Lt. Cdr Shaharudin,
[488]
Lee, Kang-Ku,
[1612]
Kutar, S.,
[276, 279]
Lee, Keon-Myung,
[165, 1659]
Kutsuyama, H.,
[1074]
Lee, Kyu Hung,
[1163, 1175]
Kwok, Yu-Kwong,
[1246]
Lee, Kyung-Mi,
[165, 1659]
Laarhoven, P. J. M. van, [1726]
Lee, S. G.,
[894, 913]
Lacomme, Philippe,
[650]
Lee, Seong-Whan,
[1612]
Laguna, Manuel,
[384, 397]
[712, 734,
736, 752, 765, 772]
Lee, T. C. S.,
[860]
Kramer, Mark A.,
[270]
Lai, L. L.,
[1264]
Lee, W. B.,
[339]
Krasnogor, Natalio,
[1547, 1558]
Lai, Loi Lei,
[1120]
Lee, Young Dae,
[807]
Kratica, Josef,
[853]
Lai, Y. T.,
[841]
Lee, Yuan-Shin,
[1351]
Kreng, B.,
[492]
La Poutr´
e, J. A.,
[672]
Lee, Yuh-Sheng,
[699]
Lam, F. S. C.,
[1335]
Lefrancois, P.,
[1076]
Lam, S. S.,
[1168, 1358]
Lehmann, C.,
[190]
Lan, Lawrence W.,
[344]
Leino, Sami,
[880]
Langdon, William B.,
[272]
Leite, P. T.,
[1266, 1314]
Langevin, A.,
[546]
Leite, Patrisia T.,
[953]
Lapan, Joshua,
[1550]
Lele, Shreevardhan,
[360]
Laporte, Gilbert,
[663]
Leung, Henry,
[1617]
Leung, K. S.,
[1582]
Leung, Kwong-Sak,
[1546]
Leung, Yee,
[783]
Levenhagen, Jens,
[220]
Levine, David Mark,
[56]
Levine, David,
[420]
Levine, J.,
[363]
Krenz, W. C.,
[1006, 1021,
1088, 1152]
Krishnamoorthy, M.,
[1375]
Krishnan, C. N.,
[1311]
Krishnan, S.,
[1217]
Kr¨
oger, Berthold,
[399, 39, 40,
41, 42, 43, 44, 45]
Kroo, Ilan M.,
[1100]
Kruger, S.,
[1177]
Kuang, Lu,
[1628]
Kubo, H.,
[1101]
Kubota, Erika,
[205, 211,
212, 1015, 1019, 110, 1406]
Kubota, Naoyuki,
[1622, 1224,
1258]
Kubota, N.,
[235, 1664]
Kuester, Rebecca L.,
[1692]
Kuijpers, C. M. H.,
[1672]
Laporte, G.,
[1636]
Larra˜
naga, Pedro,
[1624]
Larra˜
naga, P.,
[1672]
Larsen, N.,
[1129]
Latourell, J.,
[776]
Lau, T. L.,
[1260]
Lawton, George,
[1424]
Løberg, Espen,
[1293]
LeBlanc, Larry J.,
[438]
Lee, Beom Hee,
[807]
Levitin, Gregory,
Kuijpers, Cindy M. H., [1624]
Lee, C. S. George,
Kumanan, S.,
[911]
1281]
[567, 568,
571, 572, 575, 368, 371, 583, 595,
606, 608, 630, 281, 282, 286, 509]
Levy, Joshua,
[1544]
Lewis, John M.,
[1091]
Lewis III, Harold W.,
[359]
[204, 1036,
28
Genetic algorithms in operations research
Li, B.,
[141]
Lindoe, Brian,
[129]
Lowe, C.,
[1186]
Li, Chen,
[1571]
Ling, Si-Eng,
[1498]
L.Pitsoulis,
[60]
Li, F.,
[1066]
Lingle, Robert, Jr.,
[1705]
Lu, B.,
[1101]
[1652]
Li, Guo,
[783]
Liouane, N.,
[84]
Lu, Chien-Ying,
Li, H. Y.,
[1413]
Lipton, M. J.,
[1121]
Lubin, Benjamin,
[900]
Li, K. N.,
[329]
Lisk, Henrietta,
[658]
Lucas, C.,
[378]
Li, Sheng,
[1574]
Lisnianski, Anatoly,
Li, T.,
[563]
Li, Y. F.,
[1112]
Li, Yin-Zhen,
[1273]
Li, Y.,
[535, 1320]
Li, Yong,
[564]
Liang, Simon J. T.,
[1083, 1091]
Lian-yi, C.,
[1035]
Lidd, Mark L.,
[1716]
Liebling, Thomas M.,
[484]
Lienig, Jens,
[681, 692,
696, 703, 740, 744, 746, 756, 770]
Liepins, Gunar E.,
[1708, 1425,
1426, 198, 1427, 510, 1717, 1718]
Lii, G.,
[631]
Lijuan, Cao,
[1356]
Lilja, David J.,
[1064]
Lim, Andrew,
[94]
Lim, Joon-Mook,
[1208]
Lim, M. H.,
[1217]
Lim, Meng-Hiot,
[302]
Lim, S.,
[1270]
Lin, B. C.,
[1335]
Lin, Chen-Sin,
[387]
Lin, C.,
[492]
Lin, Feng-Tse,
[17, 31, 1698]
Lin, Jin-Ling,
[34, 73]
Lin, J.,
[1306]
Lin, Ming-Hung,
[912]
Lin, Ming-Wei,
[1313]
Lin, S.-C.,
[174]
Lin, Shyh-Chang,
[170]
Lin, Wei,
[568, 575,
595, 606, 608, 630, 281, 282, 286]
[1506, 1515,
1518]
Litva, John,
[1617]
Lukschandl, E.,
[796]
Liu, B. D.,
[841]
Lundgren, Andrew,
[1550]
Liu, Baoding,
[421, 453]
Luo, Wenjuan,
[1571]
Liu, Chia-Cheng,
[294]
Luo, Y. P.,
[161]
Liu, D. Y.,
[1112]
Luo, Yupin,
[1199]
Liu, Dequan,
[486, 487]
Luong, Lee H. S.,
[757]
Liu, Jiyin,
[325, 1344]
Ly, Tai A.,
[1455]
Lynch, Lucy A.,
[415]
Ma, Heng,
[294]
Ma, J. T.,
[1120, 1264]
Ma, Jian,
[324, 476]
Ma, Yun-Feng,
[1468]
Maar, H.-U.,
[1254]
Macey, B.,
[1183, 1324]
[1567]
Liu, Qiang,
[675]
Liu, Qinghua,
[846]
Liu, Wen,
[666]
Liu, W.,
[1150]
Liu, Xinghao,
[67]
Liu, Xingzhao,
[687, 690,
830, 831, 832, 833]
Liu, X.,
[936]
Maciejewski, A. A.,
Lo, Edward,
[1366]
Maciejewski, Anthony A., [1214, 1660]
Lo, Titus,
[1617]
Maekawa, Keiji,
[1588]
Lodi, Andrea,
[484]
Maekawa, K.,
[1641]
[993]
Maffioli, F.,
[431]
Loganantharaj, Rasiah, [1349]
Magill, E. H.,
[1439]
Loh, P. K. K.,
[801]
Magyar, G´
abor,
[66, 1643]
L¨
ohl, Thomas,
[893]
Maheswaran, Muthucumaru,
Lohl, Thomas,
[1309]
Maifeld, Timothy T.,
[1011]
Lombardo, A.,
[1068]
Maimon, O. Z.,
[1299]
Maini, Harpal Singh,
[1593]
Maione, B.,
[157, 1294]
Logan, Thomas D.,
Lopes, L. D. S.,
[452]
Lopes, S.,
[711]
Lopez, O. C.,
[1126]
Lopez, P.,
[1577]
Lopez-Ibanez, Manuel,
[960]
Lorena, L. A. N.,
[452]
L¨
orincz, Andr´
as,
[61]
Louis, S. J.,
[1122, 810]
[1585, 1608,
1607, 1244, 1652]
Luchian, Henri,
[922]
Majety, Subba Rao V., [609]
Mak, K. L.,
[529]
Malim, Muhammad Rozi,
[1503]
Malmborg, Charles J.,
[422, 437]
Man, K. F.,
[1320]
Manderick, Bernard,
[1719]
Maniezzo, Vittorio,
[401, 431, 554,
1495, 1496, 1497, 560, 561, 1499]
Lin, Y. L.,
[819, 820]
Loumos, V.,
[656]
Lin, Youn-Long,
[699]
Lovalvo, E.,
[1068]
Mann, J. W.,
[411]
Lin, Zhimin,
[651]
Love, J.,
[938, 1345]
Mann, Jason,
[649, 726]
Authors
29
M¨
anner, R.,
[1486, 1487]
Mayrand, E.,
[1076]
Michelon, P.,
Mannion, M.,
[1083]
Mazumder, Pinaki,
[1481]
Middendorf, Martin,
[550]
[886, 888,
541, 933]
Mansour, Nashat,
[490, 1399,
Mcauliffe, P.,
[1323]
McCulley, C.,
[994]
McDaniel, S.,
[1734]
1405]
Mantri, A. N.,
Manzo, L.,
[1147]
[867]
McDonald, J. R.,
[924, 1099,
Mao, Jianzhong,
[116, 146]
Maouche, Salah,
[297, 300, 307]
McGeoh, Lyle A.,
Maouene, M.,
[1559]
McGregor, Douglas R., [1428, 1429]
Marchiori, E.,
[844, 874]
McGregory, Jon,
271, 274, 1346]
[1564]
[87]
Marcu, T.,
[637]
McIlhagga, Malcolm,
[1124]
Mardle, S. J.,
[326]
McIlhagga, M.,
[1220]
Marin, Francisco Javier, [682, 693]
McKee, S.,
[1099]
Markaki, Maria E.,
[641]
McKee, Thomas E.,
[353]
Markmann, G.,
[25]
McKeown, G. P.,
[1219]
Migge, J¨
orn,
[1350]
Mikkola, Topi,
[646, 793]
Mikut, R.,
[1301]
Mill, Frank,
[1430, 1431]
Miller, A. J.,
[565, 569]
Miller, J.,
[232]
Milligan, Stephen D.,
[1275]
Mills, Graham,
[1374, 1375]
Miloˇsnovi´
c,
[853]
Min, Liu,
[1292]
Minagawa, Masaaki,
[37, 38]
Minohara, T.,
[586]
Miranda, Vladimiro,
[623]
Mirea, L.,
[637]
Mirrazavi, S. K.,
[347]
Mitra, Hirak,
[1410]
Miyabe, Yutaka,
[1377, 197]
Miyahara, S.,
[243]
Miyamoto, Masaaki,
[798]
Markowicz, Bernard P., [1395, 818]
McMahon, G.,
[1047]
Maroto, C.,
[357]
McPeak, Scott,
[1544]
Marquis, Jon L.,
[377]
McSweeney, Kelly,
[986]
Marseguerra, Marzio,
[576]
Medina, M.,
[565]
Marseguerra, M.,
[249, 570]
Meesad, Phayung,
[251]
Marshall, I. W.,
[890]
Megherbi, D.,
[1668, 1680]
Martens, J.,
[364]
Megson, G. M.,
[1233]
Miyamura, A.,
[625]
Martin, Juan,
[1614]
Meier, Bernd,
[891]
Miyashita, Kazuo,
[81]
Martin, O. C.,
[1669, 1681]
Meir, Abekasis,
[479]
Mizoe, Akihiro,
[916]
Martin, Worthy N.,
[1656]
Meizin, L.,
[572]
Mizttani, Mayumi,
[1232]
Martorell, S.,
[899, 602]
Melikhov, A. N.,
[1623]
Mizukami, Y.,
[1077]
Mashford, J.,
[563]
Mellish, C.,
[1401]
Mizuno, Takafumi,
[1609]
Mason, Andrew J.,
[1372]
Mendes, Alexandre,
[340]
Mladenovi´
c, Nedad,
[370]
Mason, Francesco,
[1025]
Mercedes, de Las,
[753]
Mlynski, Dieter A.,
[742]
Masopust, Petr,
[939]
Mergenthaler, W.,
[1048]
Mohan, Chilukuri K.,
[909]
Mateescu, Oana,
[136]
Merkle, Daniel,
[886, 541]
Mokhtar, Mazen Moein, [1682, 1683]
Mertens, P.,
[1205]
Mollaghasemi, M.,
[1130]
Monfroglio, A.,
[1524]
Monfroglio, Angelo,
[1525, 1164]
Monnier, Y.,
[1296]
Montana, David J.,
[1275]
Montana, David,
[900]
Montana, D.,
[1297, 799]
Mathias, Keith E.,
[1136, 1734,
1741]
Merz, Peter,
Matsuda, Koichi,
[931]
Matsuo, O.,
[1536]
Merz, P.,
Matsuo, S.,
[1738]
Mesghouni, K.,
Matsushita, H.,
[1077]
[540, 1618,
1646]
[553]
[131, 163,
169, 185]
Mattfeld, D. C.,
Meskens, N.,
[952]
Mesmoudi, S.,
[1559]
Meyer, Jean-Arcady,
[390]
[365]
Mattfeld, Dirk C.,
[1500, 102,
1028, 122, 130, 1329]
Montenegro, Anselmo A, [1602]
Moon, Byung Ro,
Maturana, F.,
[168]
Miagkikh, V. V.,
[1623]
Mautor, T.,
[550]
Miaofeng, Cai,
[1248]
Mavridou, T.,
[60]
Michalewicz, Zbigniew, [389, 227, 472]
Moon, Byung-Ro,
[1579, 555]
[1548, 1560,
1586]
Moon, Chiung,
[1273]
30
Genetic algorithms in operations research
Moon, I.,
[929]
Munetomo, M.,
[761, 778]
Nara, K.,
[257, 260]
Moonen, Mark,
[95]
Munoz, A.,
[602]
Nara, Koichi,
[1039, 269]
Moore, Mark,
[1616]
Munro, Alistair,
[700]
Narayanan, Ajit,
[1616]
[1359, 1434]
Moore, S. J.,
[803]
Munro, A.,
[747]
Narendran, T. T.,
Moore, S.,
[1297]
Muntean, Traian,
[1456]
Narihisa, Hiroyuki,
[1658, 1670]
Morad, N.,
[530, 533]
Murakawa, Masahiro ,
[1150]
Naso, D.,
[157, 1294]
Morad, Norhashimah,
[1125]
Murakawa, Masahiro,
[905]
Nasu, M.,
[267]
Moreno, Jose Al´ı,
[565, 569]
Murao, Hajime,
[931]
Nath, B.,
[1270]
Moreno, Jose A.,
[1037]
Murao, H.,
[1285]
Naumann, A.,
[168]
Navet, Nicolas,
[1350]
Ndeh-Che, F.,
[1120]
Nebro, Antonio,
[52, 1596]
Nee, A. Y. C.,
[155]
Negnevitsky, Michael,
[283, 287]
Nelson, Brent,
[1603]
Nelson, J.,
[1278, 1317]
Nˇ
emec, Viktor,
[1625]
Murata, Tadahiko,
Morgan, P. H.,
[361]
Morgan, R.,
[1066]
Mori, Kazuyuki,
[1417]
Murata, Tomohiro,
[1308]
Mori, Masao,
[455]
Murga, R. H.,
[1672]
Mori, Masayuki,
[1218]
Murga, Roberto H.,
[1624]
[996, 1016,
1084, 1145, 1163, 1171, 1170, 1175,
1240, 1265, 1284]
Mori, Naoki,
[230]
Murotsu, Y.,
[636]
Mori, N.,
[1641]
Murty, K.,
[1379]
Musick, Stan,
[1156]
Muthu Selvi, R.,
[961]
Mutingi, Michael,
[906]
Mori, T.,
[107, 1137,
167, 176, 195]
Morikawa, Kojima,
[1078, 200,
1461]
Neppalli, Venkata Ranga,
[1103, 424]
Nettleton, David John, [1723]
Neubauer, M.,
[1184]
Neumann, Klaus,
[904]
[423]
Neus, M.,
[297]
Nagai, N.,
[258]
Nevalainen, Olli,
[66, 1643]
[1425]
Nagel, Klaus,
[1656]
Newall, J. P.,
Mort, N.,
[642, 1213]
Nagi, R.,
[1134]
Moscato, Pablo,
[340]
Nagumo, H.,
[133]
Morikawa, Koji,
[1049]
Mutingi, M.,
[1353]
Morikawa, M.,
[1074]
Nachtigall, Karl,
Morris, Robert,
[1165]
Morrow, Michael,
Motegi, S.,
[786]
Naillon, Martine,
[196]
Mott, Gregory F.,
[1390]
Nakajima, Akifumi,
[1182]
Mourkousis, George,
[643]
Nakamura, H.,
[762]
Mowchenko, Jack T.,
[1455]
Nakamura, Kenichi,
[1232]
Moyes, A.,
[924]
Nakamura, M.,
[179]
M.Pardalos, Panos,
[60]
Nakanishi,
Yoshikazu
Yosuke, [280]
M¨
uhlenbein, Heinz,
Fukuyama
[1720, 1721,
Nakano, R.,
74]
[171, 175,
1290]
Mukai, T.,
[1161]
Nakano, Ryohei,
Mukheeth, A.,
[1204]
Mulkens, H.,
[1432]
[902, 111,
142, 1361, 1433, 217]
Nakashima, T.,
[689]
[1510, 1533,
1534]
Newton, Charles,
[342]
Ngom, Alioune,
[1315]
Nice, William F.,
[1505, 1490]
Nicholson, A. E.,
[1179]
Nickel, Stefan,
[370]
Nie, Huiping,
[1571]
Niebel, William D.,
[1656]
Niemeye, Gerhard,
[134]
Niemeyer, G.,
[1304]
Niittym¨
aki, Jarkko,
[336]
Nijkamp, Peter,
[331]
Ninagawa, Tatsuya,
[920]
Nishikawa, I.,
[1117]
Nishikawa, Y,
[1641]
Nishikawa, Yoshikawa,
[1459]
Mullen, D. S.,
[1192]
Nakaya, N.,
[771]
Mullen, David S.,
[1222]
Nakayama, T.,
[1461]
Muller, C.,
[698, 1439]
Namatame, A.,
[633]
Muller, H.,
[1162]
Nan, Li,
[166]
Muller, Juliane,
[380]
Nandi, A. K.,
[248]
Nishimura, E.,
[332]
Munetomo, Masaharu,
[995, 1079]
Napierala, G.,
[1722]
Nishino, E.,
[1338, 1370]
Nishikawa, Yoshikazu,
[1588, 230,
1458, 199]
Authors
31
Nissen, Volker,
[545, 551, 562]
Oka, K.,
[688, 718, 719]
¨
Ostermark,
Ralf,
[367, 494]
Nizami, J. S.,
[412]
Okada, D.,
[1657]
¨
Ozdamar,
Linet,
[327]
Nobue, A.,
[1591]
Okada, H.,
[1140]
¨
Ozdamar,
Linet,
[1347]
Nobuo, Sannomiya,
[923]
Okai, Harutoshi,
[1040]
Ozdemir, H. Timucin,
[909]
Noguchi, N.,
[683]
Okamoto, K.,
[1117]
Ozdemirel, N. E.,
[356]
Nohle, L.,
[796]
Okogbaa, O. G.,
[525]
Padman, Rema,
[1133, 1228]
Nordahl, M.,
[796]
Okoma, S.,
[121]
Paechter, Ben,
[960, 1506,
1515, 1518]
Okutani, I.,
[988]
Nordstr¨
om, Anna-Lena, [385]
Olej, Vladim´ır,
[779]
Norman, B. A.,
[1331]
Oliver, I. M.,
[1709]
Norman, B.,
[1326]
Olsan, James B.,
[828]
Olsen, Anne L.,
[225]
Omatu, Sigeru,
[488]
Nordin, P.,
[796]
Norman, Bryan,
[882, 1024,
152, 1378]
Norman, M. G.,
[1515]
Omatu, S.,
[1530, 276,
279]
Paechter, B.,
[1508, 1541]
Painton, Laura A.,
[593]
Painton, Laura,
[584]
Pakath, Ramakrishnan, [1411]
Pal, K. F.,
[1711]
Pal, Nikhil R.,
[1675]
Palmer, Mark R.,
[1425, 1426,
Norrie, D. H.,
[168]
Nortcliffe, A. L.,
[938, 1345]
Ombuki, B. M.,
[179]
Palmucci, Jeff,
[1453]
Noteboom, Ron,
[713]
Ombuki, Beatrice,
[201, 668]
Pan, Yu-Chun,
[673]
Novkovic, Sonja,
[475]
Ombuki-Berman, Beatrice,
Panagiotis,
[928]
Nowrouzian, Behrouz,
[1165]
Onaga, K.,
[179]
Pankratz, G.,
[691]
Nsakanda, A. L.,
[454]
Onieva, E.,
[1577]
Pao, Yoh-Han,
198, 1427, 1717]
[671]
[1000, 544,
1744]
Nsakanda, Aaron Luntala,
[473]
Ono, I.,
[162]
Papadimitriou, S.,
Nurmi, Jari,
[954, 954, 955]
N¨
urnberg, H. -T.,
[1638]
Nurnberg, H. -T.,
[1644]
Ono, Isao,
Paparrizos, Konstantinos,
1210, 1368, 1743]
Nygard, Kendall E.,
[1418, 824,
1724, 1725, 834, 835, 836, 839]
Ocenasek, Jiri,
[49]
Oˇ
cenaˇsek, J.,
[221]
Ochi, L. S.,
[775, 789]
Ochi, Luiz S.,
[1602, 790,
1676]
Ono, N.,
[732, 305,
1225]
[829]
Ono, T.,
[306, 308]
Onwubolu, G. C.,
[1353]
Onwubolu, Godfrey C., [906]
Orero, S. O.,
[1732]
[1050, 1166,
1303]
Ochi, M.,
[1172, 1286]
Oda, T.,
[762]
Ogawa, Kohei,
[128, 164]
Ogihara, Mitsunori,
[847]
Ognjanovi´
c, Zoran,
[853]
Ohkawa, T.,
[1073, 1110,
1202, 1237]
Ohkura, Kazuhiro,
[127, 149, 183]
[1436, 1437]
Pargas, Roy P.,
[46]
Park, Cheol Hoon,
[105, 106,
119, 549]
Park, Kihong,
[865, 62]
Park, Lae-Jeong,
[106, 119, 549]
Park, Lae-Jeoung,
[105]
Parunak, V.,
[214]
Orvosh, David,
[1470, 72]
Parviainen, Olli,
[918]
Osaba, E.,
[1577]
Pascoe, S.,
[326]
Osada, T.,
[1238, 1310]
Pathak, Rakesh M.,
[408, 588]
Osaki, Hirokazu,
[1196]
Patkai, B.,
[188]
Osman, K. A.,
[1114]
Patnaik, L. M.,
[686, 705]
[958]
Patton, A. L.,
[1322]
Pawlowsky, J.,
[1184]
[488]
Oˇsmera, Pavel,
[338]
Paredis, Jan,
[443]
Ohta, Hiroshi,
Ohuchi, Azuma,
[802]
[817, 823]
Osmane, Ibrahim,
279]
Parada, Victor,
Orlando, P.,
[1077]
[1530, 276,
[1341]
Orlin, James B.,
Ohnishi, N.,
Ohta, H.,
Papavassilopoulos, G.,
[333]
Pappalardo, Francesco, [965]
Ono, Norihiko,
Opaterny, Thilo,
[332]
[1043, 215,
[939, 1613,
1645, 1647]
Pedroso, Jo˜
ao Pedro,
[351]
Ost, Alexander,
[1732]
Pedryca, W.,
[782]
¨
Osterg˚
ard, Patric,
[57]
Pei, Wenjiang,
[1678]
32
Genetic algorithms in operations research
Pellazar, Miles B.,
[684]
Poloni, Carlo,
[1025]
Qing-Sheng, Cai,
[216]
Peng, Yidong,
[973]
Pong, M. H.,
[1366]
Qiu, Min,
[1221]
Peng, Yi,
[1199]
Ponnambalam, S. G.,
Qiu, Yuping,
[825]
Qu, Liangsheng,
[1673]
Qu, Xiuli,
[973]
Qu, Yang,
[954, 954, 955]
[83, 92, 1113,
1255, 1298, 1319]
Peng, Y.,
[161]
Poon, Pui Wah,
Perallos, A.,
[402]
[1577]
Portmann, Marie-Claude,
[1594,
1105, 1131, 1249, 478]
Percus, Allon,
[1543]
Perego, R.,
[1552]
Portnov, Dmitriy,
[849]
Quilleret, F.,
[1636]
Perez, J. M. S.,
[721]
Potter, Timothy,
[707]
Quinn, L.,
[523]
Perkins, Sonya,
[1374]
Potter, W. D.,
[940]
Rabelo, L. C.,
[1071]
Rabelo, L.,
[866, 1167]
Rabelo, Luis,
[1052, 1373]
Racu, Adrian,
[964, 969]
Radcliffe, Nicholas J.,
[1627]
Raff, Samual J.,
[403]
Perov, V. L.,
[1684]
Potts, C. N.,
[144, 507]
Perrone, G.,
[1325, 1337]
Potvin, J. Y.,
[727]
Pesch, Erwin,
[1583, 396,
123, 75, 1726, 1438]
Pesin, P.,
[169]
Pet-Edwards, J.,
[1130]
P´
eter, Andr´
as,
[303]
Petersohn, U.,
[516]
Peterson, Carsten,
[1727]
Petridis, V.,
[309]
Petriuc, Mihai,
[1506]
Potvin, Jean-Yves,
[663,
685, 1619, 1626, 739, 743, 745, 748,
1631, 749, 1636, 755]
Pradenas, Lorena,
[802]
Prasad, B.,
[451]
Prasad, T. Devi,
[960]
Preda, Daniel,
[1550]
Preston, Peter,
[489]
Preux, Philippe,
[548, 124]
Preux, Ph.,
[495]
[24]
Ragatz, Gary L.,
[404]
Raghavan, S.,
[360]
Rahman, F.,
[764]
Rahmani, A. T.,
[732, 305]
Rahmani, Adel Torkaman,
Petry, Frederick E.,
[1692]
Previtali, R.,
[945]
Pettersson, Frank,
[942]
Pribicevic, B.,
[712, 736]
Pettey, Chrisila C.,
[1051]
Price, Wilson L.,
[897]
Phillips, J. C.,
[1020]
Price, Wilson,
[473]
Phillips, P.,
[232]
Price, W.,
[454]
Phonganant, Supphasak, [946]
Prinetto, P.,
[1728]
Pibouleau, Luc,
[1268, 1354]
Prins, Christian,
[885, 650]
Piche, Robert,
[380]
Proen¸ca, L. Miguel,
[623]
Prosser, P.,
[698, 1439]
Pico, Carlos Alberto Gonzalez,
Ragade, Rammonhan K.,
[997]
[237, 238]
Rajaram, R.,
[961]
Rajendran, Chandrasekharan,
Rajendran, C.,
[209]
Rajesh, S. V.,
[83]
Rajgopal, Jayant,
[609]
[1143]
Ralston, Patricia A. S., [398]
Ramachandran, V.,
[607, 613]
Ramanathan, Parameswaran,
Ramdane-Ch´
erif, Wahiba,
Pierreval, Henri,
[1594, 477]
Protonotarios, Matthew, [643]
Ramirez-Marquez, Jose E.,
Pincay Villa, Johnny,
[674]
Psarras, J.,
[1059]
Rana, Soraya,
Pingfan, Yan,
[213, 113]
Pudelko, Gregor,
[724, 738]
Pinto, J. M.,
[887]
Puigjaner, Luis,
[1293]
Piramuthu, S.,
[153]
Pulat, Simin,
[34]
Pirkul, Hasan,
[383, 386]
Punch, III, William F., [174, 1322]
Pirlot, Marc,
[425]
Pursula, Matti,
[336]
[829]
Raidl, G. R.,
[1410]
[650]
[379]
[1136, 873,
872, 875, 876]
Rana-Stevens, Soraya,
[900]
Rance, J. P.,
[1363]
Ranga Neppalli, Venkata,
Rangarajan, G.,
Rao, B. B. Prahlada,
[426]
[1427]
[686, 694,
Pirsch, P.,
[1187]
Qi, J. G.,
[79, 1288]
Pitsillides, A.,
[782]
Qi, Yulu,
[735]
Rao, Vasant B.,
[1731]
Pizzuti, Clara,
[850]
Qiao, L.,
[895]
Rardin, Ronald L.,
[348]
Plaquin, Marie-France,
[477]
Qin, K. H.,
[1640]
Rasheed, K.,
[940]
Podgorelec, V.,
[284]
Qing, Li,
[760]
Ratle, A.,
[639]
Pollatschek, M. A.,
[457]
Qingming, Gu,
[1356]
Rau´
e, Paul-Erik,
[1615]
705, 812]
Authors
33
Ravikumar, C. P.,
[1053]
Roberts, A.,
[1592]
Ruzzene, M.,
[579]
Ray, Animesh,
[847]
Roberts, S. M.,
[1730]
Saab, Youssef G.,
[1731]
Robertson, James P.,
[922]
Saad, P.,
[1530]
[331]
Rayward-Smith, Vic J., [1219, 504]
Re, G. L.,
[711]
Robillard, C.,
[743]
Sabella, Enrico,
Rebajn, B.,
[1528]
Rocco, Claudio M.,
[565, 569]
Saeidi, P.,
[499]
Rebaudengo, Maurizio, [304, 1728]
Rodrigues, Brian,
[94]
Sahasrabuddhe, H. V.,
[234, 241]
Rebreyend, P.,
[1104, 1357]
Roehrig, Stephen F.,
[1133, 1228]
Sait, Sadiq M.,
[976]
Rechenberg, Ingo,
[512]
Roland, B.,
[951]
Sakaguchi, Hideki,
[715]
Sakaguchi, H.,
[689]
Rolland, Erik,
[386]
Reddy, S. V. Bhaskara, [1359]
Ronald, Simon,
[120]
Redfern, M. S.,
[1331]
Ronald, S.,
[785]
Sakamoto, Kensaku,
[845]
Redfern, Mark S.,
[882, 1188]
Ronde, J. F. de,
[1235]
Sakanashi, Hidenori,
[1604]
Reedman, David,
[291]
Rong, Aiying,
[325]
Sakawa, Masatoshi,
Reedman, D.,
[290]
Rosas-Gonz´
alez, Armando,
Reetz, Bob,
[1729]
Rose, Christopher,
[414]
Reeves, C. R.,
[1263, 180]
Rosenof, H. P.,
[1121]
Rosmaita, Brian J.,
[1706]
Ross, Brian J.,
[668, 1665]
Reddy, J. Prashant,
[911]
[98]
Sakamoto, Akio,
[687, 690, 67,
830, 831, 832, 833]
[322, 352,
107, 1137, 233, 461, 176, 470, 474,
483, 243]
Sakawa, M.,
[167, 195,
1444]
Reeves, Colin R.,
[19, 410, 27,
1440, 1441]
Reggiani, Aura,
[331]
Ross, Peter,
Reid, Darryn J.,
[458]
Reif, John H.,
[855]
[1504, 1507,
1509, 1511, 1516, 1520, 1521, 125,
728, 145, 187, 1435]
Ross, P.,
[1250, 1278,
Reinartz, Karl Dieter,
[1732]
Reis, F. S.,
[887]
Rossi, Andrea,
[881]
Ren, Hong,
[987]
Rossi, C.,
[874]
Ren, Y.,
[626]
Roth, Steven F.,
[1442]
Resende, M.G. C.,
[60]
Rothemund, Paul W. K.,
1317, 1538, 1539]
[857]
Sakawa, M.,
[1445]
Sakuma, Jun,
[80]
Sala, Raphael,
[729]
Salama, M. M. A.,
[710]
Salamy, Hassan A.,
[947]
Saleh, K. A.,
[1046]
Salehi, Mojtaba,
[97]
Salewski, Frank,
[1526]
Salhi, S.,
[764]
Salim, V.,
[1055, 1241]
Salois, M.,
[773]
Salwach, W.,
[1531]
Reuter, C.,
[1187]
Rothkrantz, L.,
[730]
Reuther, Albert I.,
[922]
Roucairol, Catherine,
[427]
Riane, F.,
[951]
Roychowdhury, V. P.,
[1567]
Rich, D. C.,
[1519]
Roychowdhury, Vwani P., [1214, 1660]
Rich, David C.,
[1522]
R´
oz˙ ycki, Rafal,
[1042]
Richardson, Jon T.,
[1425, 1717]
Rubin, Paul A.,
[404]
Ricudis, C.,
[782]
Rubinovitz, Jacob,
[368, 371]
Righini, G.,
[431]
Rubinovitz, J.,
[509]
Rijckaert, Marcel,
[82]
Rubinstein, Reuven Y., [608]
Rijckaert, M.,
[191]
Ruiz, Duncan D.,
[255]
Rim, Seong Jeong,
[597]
Ruiz, R.,
[357]
Sannomiya, Nobuo,
Riopel, D.,
[546]
Ruiz-Andino, A.,
[781]
Rixen, Ivo,
[1028, 1054]
Runarsson, Thomas,
[342]
Santos, Elisangela M.,
[1602]
Rizzante, F.,
[1060]
R¨
uttgers, Martin,
[1230]
Santos, Pedro V.,
[1573]
Roach, A.,
[1134]
Ruttkay, Zs´
ofia,
[1615]
Sappington, David E.,
[1395, 818]
Roadknight, C.,
[890]
Ruz, J. J.,
[781]
Saratchandran, P.,
[288]
Saman, Muhamad Zameri Mat, [970]
Samat, Pathiah Abd,
[488]
Sanchez, A.,
[899]
Sanchez, L.,
[278]
Sanchez, Rubal P.,
[505]
Sanchez-Perez, J. M.,
[1568, 753]
Sandnes, F. E.,
[1233]
Sandoval, F.,
[682, 693]
Sangalli, Nicoletta,
[108]
[883, 998,
1002, 126, 1138, 159, 1197, 1234,
1243, 177, 1415, 1416]
34
Genetic algorithms in operations research
Sarker, Ruhul,
[342]
Schwarz, J.,
[221]
Shi, Gudyong,
[158]
Sasaki, Masato,
[242, 635]
Schwefel, Hans-Paul,
[1556, 513]
Shi, Guoyong,
[126, 159]
Sasaki, M.,
[1090, 589]
Schwehm, Markus,
Shi, Jing,
[973]
Sathiyanarayanan, K.,
[984, 1008,
1017, 1018, 1034, 1056, 1277, 1732]
[607, 613]
Schwehm, M.,
[1194, 1316]
Sato, Ken’ichi,
[521]
Sato, Tatsuhiro,
[1308]
Sato, Tomoaki,
[921]
Schwiegershausen, M.,
[1187]
Sato, Yoshiharu,
[995, 1079]
Schwindt, Christoph,
[904]
Sato, Y.,
[761, 778]
Sclabassi, R. J.,
[731]
Satoh, H.,
[162]
Sebaaly, M. F.,
[150, 1178]
[915]
ˇ
Seda,
Miloˇs,
[1623]
Seibulescu, Alexandru,
Sekharan, D. Ansa,
[1478]
Sekimoto, Hiroshi,
[1364]
Selek, Istv´
an,
[966]
Satou, Makihiko,
Savelev, O. V.,
Schwenderling, Peter,
Savic, Dragan A.,
[264, 1251,
1276]
Savola, Juha,
[793]
Sbodio, M. L.,
[1060]
Scerri, P.,
[1274]
Sch¨
aftner, Christoph,
[1732]
Scheuermann, Bernd,
[933]
Schierholt, K.,
[1185]
Schmeck, Hartmut,
[886, 888, 933]
Schmidt, Bernd,
[888]
Schmitt, L. J.,
[695]
Schmitt, Lawrence J.,
[1601, 471]
Schmitt, II, Lawrence John,
Schober, Andreas,
[1584]
[1697]
Schofield, D.,
[983]
Sch¨
onberger, J¨
orn,
[1500]
Sch¨
onberger, J.,
[365]
Sch¨
oneburg, E.,
[536]
Schoneveld, A.,
[1235]
Schoof, Jochen,
[1597]
Schoonderwoerd, Ruud, [730]
Schuler, Rainer,
Schulte, J. W.,
Schultz, J.,
[852]
[1446]
[233, 461,
474, 243]
Shibata, Susumu,
[1258]
Shida, Koichiro,
[1614]
Shida, K.,
[1655]
Shih, C.-C.,
[497]
Shiizuka, H.,
[1135]
Shimada, Kazue,
[1307]
[1236, 1295]
Shimamoto, Norio,
[840]
[999]
Shimamoto, Takashi,
[39, 40, 42,
44, 45]
Semeraro, Quirico,
[108]
Sen, Pratyush,
[87]
Sen, P.,
[1332]
Sen, Sandip,
[1477]
Sena, G.,
[1668, 1680]
Seniw, D.,
[1733]
Seo, K. S.,
[774]
Sepehri, N.,
[391]
Serdarell, V.,
[602]
Seredy´
nski, Franciszek,
[927, 937,
1174, 1195, 1259, 1305, 1371]
[687, 690, 67,
830, 831, 832, 833]
Shimizu, Nobuhiko,
[1588]
Shimojima, Koji,
[1622, 1224]
Shin, H.,
[725]
Shin, Soo-Yong,
[1677]
Shinagawa, A.,
[1140]
Shiozawa, Shozo,
[1232]
Shirai, H.,
[54]
Shiroma, P. J.,
[1304]
Shiroma, Patricia,
[134]
Shiromaru, Isao,
[322]
Shiromaru, I.,
[1444]
Shnits, Boris,
[368, 371]
Shoeeb, Salihin F.,
[1502]
Seredynski, F.,
[1014]
Shoemaker, Christine A.,
Serradell, V.,
[899]
Shtub, Avraham,
[438]
Seunarine, D.,
[706]
Shunmugam, M. S.,
[1359]
Sevenster, A. A.,
[733]
Siegel, H. J.,
[1567]
Sexton, Randall S.,
[496]
Shami, S. H.,
[759, 763]
Siizuka, H.,
[1082]
Shaner, Daniel,
[1462, 1740]
Sikora, Riyaz,
[1201, 1447]
Shao, S.,
[636]
Sikora, R.,
[1141]
Shaout, A.,
[1323]
Silva, A. De,
[1375]
Silva, Anura H. de,
[517]
Silva, D.,
[1314]
Silver, E. A.,
[929]
Simon, R.,
[731]
Simons, Robert,
[459]
Simpson, Angus R.,
[1057]
Shaw, K. J.,
[1205]
Shibano, Toshihiro,
[938, 1115,
1139, 1209, 1256, 1345]
Schulz, Christian,
[1309]
Shaw, Michael J.,
[1201, 1447]
Schulze, Ralf,
[1151]
Shaw, V.,
[801]
Sch¨
utz, Martin,
[20]
Shebl´
e, Gerald B.,
[1011]
Schutz, M.,
[1471]
Shen, Chang-Yun,
[1000]
Schwab, M.,
[1251]
Shen, H.-L.,
[907]
Schwarz, Josef,
[49, 1625]
Sheung, Julian,
[1491]
Siegel, Howard Jay,
[380]
[922, 1214,
1660]
Sinclair, M. C.,
797, 803]
[759, 784,
Authors
35
Sinclair, Marius,
[514]
Song, Xiaoyu,
[669]
Stockton, D. J.,
[523]
Sinclair, Mark C.,
[763, 826]
Song, Yong-Hua,
[1066, 1287]
St¨
oppler, S.,
[1384]
Singh, Sanjeev,
[1605]
Song, Y.,
[194]
Storch, Richard Lee,
[143]
Singh, T.,
[451]
Sonza Reorda, Matteo,
[304, 1728]
Storer, Robert H.,
[206]
[65]
Sinha, Abhishek,
[1562]
Sorbello, F.,
[817, 823]
Strechen, Natalia,
Sinriech, David,
[479]
Sorensen, Stephen E.,
[1242, 1365]
Strohmaier, A.,
[870]
Sirvi¨
o, K.,
[254]
Sorensen, Steve,
[1149]
Stucky, O.,
[1486, 1487]
Spears, William M.,
[878, 879]
Stutzle, T.,
[1648]
Su, Chao-Ton,
[534]
Su, C.,
[631]
Sugie, N.,
[1077]
Sugimoto, H.,
[1101]
Sugimoto, M.,
[1501]
Suginohara, N.,
[1444]
Suh, Jung Y.,
[1710, 1736]
Sumi´
c, Z.,
[716]
Sumic, Z.,
[737]
Sun, D.,
[574]
Sun, Hao,
[592]
Sun, Jiaguang,
[669]
Sun, Rongchung,
[720, 750]
Sun, Rong,
[1561]
Sittisathanchai, Sinchai,
[207, 103,
1396]
Sivakumar, V.,
[607, 613]
Sivrikaya-S
¸ erifo˘
glu, Funda,
[460]
Skakowski, A.,
[1343]
Skimayama, T.,
[771]
Skolud, B.,
[1142]
Skrlec, Davor,
[765]
ˇ
Skrlec,
Davor,
[712, 734, 772]
Skrlec, D.,
[736, 752]
Sloot, P. M. A.,
Smierzchalski, R.,
Smith, A. E.,
Smith, A. J.,
Spiessens, Piet,
[850]
[1719]
Spillane, Andrew R.,
[556]
Spillman, Richard,
[245]
Spillman, R.,
[229]
Sponsler, J. L.,
[1448, 1449]
Sprinkhuizen-Kuyper, I. G.,
Srdoˇ
c, Alira,
[1235]
[766]
[51, 614]
[247, 273]
Smith, Alice E.,
[573, 1589,
405, 591, 594, 439, 603, 604, 612]
Smith, A.,
Spezzano, Giandomenico,
[616, 617]
ˇ
Sribar,
Aljoˇsa,
[1216]
[985]
[734]
Sricharoentham, Chaiporn,
[941]
Sridhar, Jagabandhu,
[1143]
Sridhar, J.,
[209]
Sridharan, V.,
[1713, 1419]
Srinivas, B.,
[1272]
Sun, Ruixiang,
[1673]
Srinivasan, Dipti,
[1058]
Sun, Xiao-Ming,
[376]
Srinivasan, D.,
[1169]
Sunada, Hideaki,
[461]
Srinivasan, G.,
[132]
Sundararajan, N.,
[288]
Sriskandarajah, C.,
[480, 1335]
Sung, T.,
[632]
Stacey, D. A.,
[1038]
Suotula, Janne,
[1206]
Stacey, Deborah A.,
[1551]
Surry, Patrick D.,
[1627]
Stache, U.,
[531]
Sutoh, T.,
[258]
Stadler, W.,
[1048]
Suyama, A.,
[1642]
Stafylopatis, A.,
[481]
Suzuki, H.,
[258]
Stamatopoulos,
[928]
Suzuki, Keiji,
[338, 1604]
ˇ
Sverko,
Davor,
[475]
Swi¸ecicka, Anna,
[927]
´ ecicka, Anna,
Swi¸
[1305]
Swift, Graham,
[658]
Swinehart, Kerry,
[1144]
Syed, W.,
[277]
Smith, D. G.,
[1439]
Smith, D. J.,
[1709]
Smith, Derek,
[29]
Smith, George D.,
[411, 504]
Smith, George,
[649, 726]
Smith, Jim,
[1547]
Smith, Lloyd M.,
[846]
Smith, Peter,
[868]
Smith, R. E.,
[680]
Smith, Stephen F.,
[1392, 1442]
Smith, Stephen P.,
[1443]
Snowdon, Jane L.,
[381]
Stassinopoulos, G.,
[656]
Snyder, Lawrence V.,
[372]
Stautner, Marc,
[1565]
Soares, Carlos,
[208, 109]
Steenbeek, A. G.,
[844]
Soininen, Juha-Pekka,
[954, 954, 955]
Stefanitsis, E.,
[1059]
Soldatos, J.,
[656]
Stelling, P.,
[1629]
Soltys, James R.,
[436]
Stender, Joachim,
[1735]
Sonander, J.,
[335]
Stidsen, Thomas,
[136]
Sze, M. T.,
[339]
Song, Ren-Guo,
[409]
Stobbe, Mario,
[893]
Szreder, H.,
[1343]
Starkweather, Timothy John,
[1734,
1450, 1739, 1462, 1740]
Syswerda, Gilbert,
[1452, 1453,
1454]
36
Genetic algorithms in operations research
Tabata, Yoshio,
[660]
Tang, Kwok-wah,
[292]
Thangiah, Sam R.,
[805]
Tadei, Roberto,
[395, 1060]
Tang, Lixin,
[325, 1344]
Theil, D.,
[552]
Tafur Monroy, I.,
[664]
Tang, Wallace Kit-sang, [292]
Th´
eraulaz, Guy,
[787]
[922]
Tagarev, Todor D.,
[323]
Tang, Zheng,
[1574]
Theys, Mitchell D.,
Tagawa, Kiyoharu,
[1212]
Tanigawa, Y.,
[1035]
Thiel, J.,
[226]
Tagawa, K.,
[1261, 1657]
Tanigawa, Yuao,
[1070]
Thistle, H.,
[940]
Taguchi, Takeaki,
[622, 629]
Taniguchi, M.,
[250]
Thollon, Fr´
ed´
eric,
[263]
Taguchi, T.,
[590, 600, 638]
Taniguchi, N.,
[830, 832]
Thomalla, C.,
[118]
Taheri, Shahrooz,
[970]
Taniguchi, Satoshi,
[1182]
Thomas, Bushrod,
[1349]
Thompson, A.,
[610]
Thompson, Mark,
[658]
Thompson, M.,
[938, 1345]
Tahon, C.,
[169]
Taniguchi, T.,
[54]
Tai, Ray P.,
[443]
Tanino, Tetsuzo,
[1600, 1620]
Takada, T.,
[625]
Tanker, A. Z.,
[1001]
Takahashi, Eiichi,
[905]
Tanker, E.,
[1001]
Takahashi, Hirotoshi,
[923]
Tanomaru, J.,
[688, 718, 719]
Takai, Yoshiaki,
[995, 1079]
Takai, Y.,
[761, 778]
Take, Naoki,
[644]
Thonemann, Ulrich Wilhelm,
Tanomaru, Julio,
[265]
Takita, Masatoshi,
[1609]
Talbi, E. D.,
[945]
Talbi, E.-G.,
[495]
Tarantino, E.,
[1696, 557]
Tartamella, M.,
[711]
Tate, David M.,
[1589, 405]
Tiwari, M. K.,
[898]
Tatsuo, Sakai,
[920]
Tjornfelt-Jensen, M.,
[193]
Toda, Kenji,
[905]
Todd, D.,
[1332]
Tohma, Y.,
[586]
Tavares, A.,
[96]
[550]
Tavares Neto, Roberto Fernandes,
[968]
Talhami, Habib,
Tam, Kar Yan,
Tamaki, Hisashi,
Tokhi, M. O.,
[1026]
Tokumaru, H.,
[1117]
Taylor, G. E.,
[290]
Tolio, Tullio,
[108]
Taylor, Gaynor,
[291]
Tomal´
a Robles, James, [674]
Te, Dazhen,
[723]
Tomioka, S.,
[1265]
Tedford, J. D.,
[1186]
Tompkins, George H.,
[485]
Teich, Tobias,
[891]
Topchy, A. P.,
[1623]
Teng, Hongfei,
[486, 487]
Torbey, E.,
[1318]
Terano, K.,
[1117]
Torres, Enrique Alba,
[48]
[683]
Torres, Michel,
[1037]
Torvinen, S.,
[188]
Toshinsky, Georgy I.,
[1364]
[1588, 1458,
[1161, 1172,
1641, 1286, 1338, 1370]
[324, 476,
1745]
[289]
[515]
Tamaki, H.,
Tian, Peng,
Tay, Francis E. H.,
[1598]
199, 1459, 1460]
[681, 696,
703, 746]
[548, 124,
1456, 1457]
[1697]
Thulasiraman, K.,
Tavakkoli-Moghaddam, R.,
Talbi, El-Ghazali,
[547]
Thuerk, Marcel,
[1061, 1085,
1092, 1146]
Takeuchi, Jun,
Thorpe, J. T.,
[430]
Tamayama, Yuya,
[1157]
Tamiz, M.,
[326, 347]
Tamura, H.,
[53]
Tan, C. Y.,
[256, 259]
Tan, Jonathan S.,
[270]
Tanaka, Chin-Ichi,
[246]
Tanaka, Hideo,
[1016, 1084]
Teske, M.,
[940]
Toshinsky, Vladimir G., [1364]
Tanaka, H.,
[1145, 1170]
Testa, Leonard J.,
[1671]
T´
oth, G´
abor J.,
[61]
Tanaka, Masahiro,
[1600, 1620]
Tetelbaum, Alexander Y.,
Toune, Sakae,
[280]
Tanaka, M.,
[1536]
Tettamanzi, Andrea,
[1169]
Tounsi, Mohamed,
[856]
Tanaka, S.,
[1535]
Tettamanzi, G. B.,
[1058]
Tov, S. Mazal,
[583]
Tang, A. Y. C.,
[1582]
Tezuka, K.,
[299]
Toyota, Toshio,
[262]
Tang, Anthony,
[1491]
Thangiah, Sam Rabindranath,
Toyota, T.,
[250, 267]
Tang, Jiafu,
[449]
Tozawa, Tatsumi,
[704, 1081]
Terao, H.,
Terashima-Marin, H.,
[1521, 1538,
1539]
[296]
[708,
714, 764, 834, 835, 836, 837, 838,
839, 1737]
Authors
37
Treleaven, Philip C.,
[272]
Ulder, N. L. J.,
[1726]
Venugopal, V.,
[1434]
Trelles-Salazar, O.,
[693]
Ulusoy, G¨
und¨
uz,
[460]
Vergados, D.,
[656]
Tripathi, A. K.,
[1147]
Umano, M.,
[53]
Vianna, D. S.,
[775]
[775]
Troya, J. M.,
[1596]
Umeda, Toyohiro,
[931]
Victor, A. O.,
Troya, Jos´
e M.,
[231]
Umetani, Yukio,
[1063]
Vidaver, G.,
[799]
Trubian, M.,
[431]
Underbrink, Jr., Al J.,
[1003, 1009]
Vidyarthi, D. P.,
[1147]
Tsai, F. S.,
[819, 820]
Uno, K.,
[633]
Vidyarthi, N. K.,
[898]
Tsai, Jay-Shinn,
[1373]
Unver, O.,
[1181]
Vienna, D. Soares,
[789]
Tsai, S.-C.,
[78]
Usher, J. M.,
[139]
Vieyra, P. W. Polo,
[1676]
Vignier, A,
[478]
Vilcu, Adrian,
[1666]
Tsai, Y.-K.,
[153]
Usher, J.,
[277]
Tsang, Edward P. K.,
[138, 1260]
Ushiro, Satoshi,
[352]
Tseng, Ching Chih,
[455]
Usunariz, J. A.,
[104]
Tseng, Ching-Chih,
[1218]
Utaka, J.,
[1444]
Tseng, Mei-Kuang,
[409]
Vaccaro, R.,
[1696]
Vinayagamoorthy, Rajini,
Tsuchiya, T.,
[1238, 1310]
Vacher, Jean-Philippe,
[181]
Tsugawa, T.,
[1225]
Vahrenkamp, Richard,
[428]
Tsuji, T.,
[1738]
Vaidehi, V.,
[1311]
Valenzuela, C. L.,
[1632]
Tsujimura, Yasuhiro,
[205, 211, 212,
1015, 1019, 110, 135, 1215, 1406]
Tsujimura, Y.,
[1148, 1662,
192, 1362]
[767]
Vyridis, Ioannis,
[643]
Wada, Ken-Nosuke,
[246]
Wada, Yoshiko,
[246]
Tunasar, C.,
[1589]
van Hemert, J. I.,
[672]
Tuoma, J.,
[1002]
Tuson, A.,
[1250]
Twardus, D.,
[940]
Uchikawa, Yoshiki,
[1049, 1078,
200, 1461]
[39, 40, 42,
43, 44, 45]
Vrijenhoef, Nico,
[1254]
[1516]
Vornberger, Oliver,
[779]
VandeVelde, A.,
Tuson, Andrew,
[395]
Vrba, R.,
[385]
[980]
Volta, Guiseppe,
[226, 1484]
Tufekci, Suleyman,
Tuson, A. L.,
[1067]
Voss, S.,
[944]
[334, 1590,
Vojtek, V.,
[869]
Vanden Berghe, G.,
1062, 1176, 1527]
[77]
Valenzuela, Christine L., [1694]
[1417]
Turton, B. C. H.,
[423]
Voigt, Hans-Michael,
[516]
Tsukiyama, Makoto,
[649, 726]
Voget, Stefan,
Voss, N.,
Valenzuela-Rendon, M., [1539]
Turner, John,
[525]
Voss, K.,
[1074]
[157, 1294]
Violante, N.,
Valenzuela, Christina L., [1606]
Tsukamoto, K.,
Turchiano, B.,
[837]
van Kemenade, Cees H. M.,
[1045,
717]
Van Landeghem, H.,
[944]
Wade, G.,
[1592]
Van Weele, Stuart F.,
[379]
Wagner, B. J.,
[311]
van Zyl, Jacobus,
[1467]
Wagner, Stefan,
[1569]
Varvarigou, Theodora,
[643]
Wagner, Thomas D.,
[1051]
[823]
Wah, B. W.,
[1087]
Vasallo, G.,
Vasilakos, Athansios V., [641]
Wainwright, Roger L.,
[997, 1595,
813, 814, 47, 1478]
Vasilakos, A.,
[782]
Wakasugi, M.,
[1234, 1243]
Vassallo, G.,
[817]
Wakutsu, T.,
[63]
[1086]
Wal, T.,
[1239]
Uchimura, Keiichi,
[715]
Vavak, Frantisek,
Uchimura, K.,
[689]
Vega-Rodriguez, M. A., [1568]
Wall, Matthew Bartschi, [1096]
Uchino, E.,
[165]
Velanzuela-Rendon, M., [1538]
Wallenius, Jyrki,
[377]
Uckun, Serdar,
[1377, 197]
Vempati, Venkateswara S.,
Wallet, B.,
[776]
Ueda, Kanji,
[127, 149, 183]
Venkata, S. S.,
[392]
[716, 737]
Walter, Thomas,
[1017, 1018,
1732]
Uemura, Yoshio,
[483]
Venkatachalam, A. R.,
Ukovich, Walter,
[1025]
Venkataramanan, M. A., [382, 463]
Ulanicki, B.,
[1363]
Ventresca, Mario,
[406]
Walters, Godfrey A.,
[201]
[264, 1251,
1276]
Walters, Tim,
[1661]
38
Genetic algorithms in operations research
Wang, Chao-ching,
[676]
Wei, Chengjian,
[1678]
Woo, Kim Jun,
[99]
Wang, Chengen,
[675]
Wei, Gao,
[760]
Woo, Sung-Ho,
[1231]
Wang, D. W.,
[535]
Weigert, Gerald,
[1151]
Wood, David,
[1149]
Wang, Dazhong,
[611]
Weinert, Klaus,
[1565]
Woodside-Oriakhi, Maria,
Wen, Fushuan,
[1474]
Wren, Anthony,
[1012, 407]
Wenzhong, Song,
[1356]
Wren, David O.,
[407]
Wess, B.,
[1367]
Wright, Ted,
[1005]
West, Jack M.,
[892, 930]
Wu, A. C.-H.,
[699]
Wetzlinger, H.,
[1162]
Wu, Baolin,
[1327]
Wu, Hang-Chang,
[522]
Wang, Dingwei,
[524, 527,
449, 1334]
[378]
Wang, Ding-Yi,
[901]
Wang, Feng,
[967]
Wang, Haobo,
[1339]
Wang, Kefeng,
[893]
Wang, L. Y.,
[841]
Wu, L.,
[940]
Wang, Lee,
[1214, 1660]
Wheeler, R.,
[1250]
Wu, Xinyu,
[723]
Wang, Liman,
[846]
White, A. R. P.,
[411]
Wu, X.,
[141, 218]
Wang, Lipo,
[666]
Whitley, C.,
[1734]
Wu, Yong-Gang,
[901]
Wang, Lusheng,
[1629]
Whitley, Darrell L.,
Wu, Z. M.,
[172]
Wang, L.,
[89, 574, 1567]
Wang, Pai-Chou,
[1080]
Wang, S.-C.,
[895]
Whitley, L. Darrell,
[1136]
Wang, W. P.,
[1640]
Wiendahl, Hans-Peter,
[1004]
Wang, Xue-Feng,
[376]
Wijkman, Pierre A. I.,
[1649]
Wezel, Michiel C. van,
[1489, 1216,
1540]
[873, 875,
876, 1734, 1741]
Whitley, Darrell,
[1581, 872,
1739, 1462, 1740]
[518, 117,
116, 146]
Xi, Haifeng,
[1199]
Xianfu, Chen,
[1633]
Xiang, F.,
[791]
Xin, Zhan-hong,
[355]
Xing, KeYi,
[967]
Xinsong, Jiang,
[1292]
Xinyu, Wu,
[722]
Xu, J.-C.,
[907]
Xu, Wen,
[611]
[472]
Xu, Xinhe,
[1339]
Wilson, J. M.,
[468]
Xu, Xin-He,
[493]
Wilson, T. C.,
[1038, 1253]
Xu, Z. J.,
[1122]
Winiecki, K. B.,
[547]
Xu, Zong-Ben,
[783]
Wodziak, John R.,
[26]
Xue, Jinsong,
[1339]
Wolf, Hans G.,
[742]
Xufa, Wang,
[1633]
Wolfe, Mary Leigh,
[312]
Yagiura, Mutsunori,
[1013, 1119]
Yahiro, Masakazu,
[1232]
Yamada, M.,
[1536]
Yamada, Shin-ichi,
[1614]
Yamada, S.,
[1655]
Wang, X.-Y.,
[895]
Wilbertz, H.,
[1048]
Wang, Y. Y.,
[285]
Wilke, Peter,
[914]
Wang, Youbing,
[592]
Williams, D.,
[1066]
Ward, C.,
[1183, 1324]
Williams, L. P.,
[1632]
Warrington, S.,
[1430]
Williams, Jr., George P. W.,
Warwick, Terry,
[138]
Wasil, Edward,
[360]
[1003,
1009]
Wilmot, Michael,
Wassenhove, L. N. Van, [144]
Watabe, Hirokazu,
[1545]
Watanabe, G.,
[306]
Watanabe, K.,
[1738]
Watanabe, Michiko,
[916, 1157]
Watanabe, Tatsuo,
[916]
Watanabe, T.,
[1117]
Weare, R. F.,
[1510, 1534]
Wong, K. P.,
Weber, D.,
[754]
Wong, Kit Po,
Wolfe, William J.,
[1149, 1242,
1365]
[1027]
[1094, 1116,
1120, 1257]
Weber, K. H.,
Wu, Zhiming,
[516]
Yamada, Takeshi,
Wong, Kuan Yew,
[970]
Wong, Man-Leung,
[1546]
Webster, S. T.,
[1107]
Webster, S.,
[1312]
Weger, Mark de,
[1719]
W¸eglarz, J.,
[1042]
Wong, Y. S.,
Wehn, N.,
[1408]
Wong, Yin Wa,
Wong, Suzannah Yin Wa,
1120, 1257]
[902, 100,
111, 137, 142, 741, 1361, 217]
Yamada, T.,
[171, 175,
1263, 180]
[1116,
Yamakawa, T.,
[165]
[529]
Yamamoto, Hidehiko,
[532]
[1094]
Yamamoto, Naohisa,
[1016]
Authors
39
Yamamura, Masayuki,
[1043, 215,
1118, 1210, 1267, 1743]
Yamamura, M.,
[1098]
Yamasaki, Kimiyoshi,
[840]
Yamauchi, S.,
[299]
Yan, H.,
[1335]
Yang, B. J.,
[161]
Yang, C. H.,
[1651]
Yang, Chao,
[1468]
Yang, Cheng-Hong,
[1693, 1724,
1725]
Yeh, Y.,
[619]
Zhang, Byoung-Tak,
[1677]
Yen, Gary G.,
[251]
Zhang, Dong-Mo,
[324, 476]
Yeralan, Sencer,
[387]
Zhang, F.,
[155]
Yi, M.,
[777]
Zhang, Guoyin,
[780]
Yih, Yuehwern,
[1052, 1373]
Zhang, Hai-jun,
[355]
Yin, X. F.,
[894, 913]
Zhang, Ji-Hui,
[493]
Yin, Xiangying,
[810]
Zhang, Min,
[1468]
Yin, Xiaodong,
[1407]
Zhang, Qi-Zhi,
[409]
Ying, Wu,
[140, 148]
Zhang, Q.-Y.,
[574]
Zhang, Rubo,
[780]
Yip, Percy P. C.,
[1000, 544,
1744]
Yang, D. L.,
[186]
Yang, Guowu,
[669]
Yang, Honghong,
[518]
Yang, Hong-Tzer,
[1127, 266]
Yang, J. O.,
[1112]
Yang, Jian-Bo,
[910]
Yokota, Takayoshi,
[1232]
Yang, J.,
[632]
Yokota, T.,
[587, 590, 638]
Yang, Lixin,
[1551]
Yokoyama, Masao,
[359]
Yang, Luxi,
[1678]
Yokoyama, Shigeyuki,
[845]
Yokata, T.,
[589]
Zhang, Y. F.,
[155]
Yokoi, Horoshi,
[1609]
Zhangcan, Huang,
[1628]
Yokomori, Takashi,
[845]
Zhao, C. W.,
[172]
Zhao, Gang,
[1571]
Zhao, Linhu,
[1215]
Zheng, Bao,
[240]
Zheng, D.-Z.,
[89]
Zhenquan, Zhuang,
[1633]
[147]
Yokota, Takao,
[581, 598,
599, 600, 601, 622, 629, 628]
Yang, Pai-Chuan,
[1127]
Yokoyama, S.,
[786]
Zhiming, Wu,
Yang, S. X.,
Yoon, Wan Chul,
[926]
Zhong, T. X.,
[1557]
[161]
Yang, Shyi-Chang,
[645]
Yoshida, Hideo,
[1232]
Zhou, C. P.,
[777]
Yang, Sung-Bong,
[1231]
Yoshimura, Kazuyuki,
[902, 1361]
Zhou, Gengui,
[491]
Yang, Suxing,
[1199]
Yoshimura, K.,
[1290]
Zhou, G.,
[464]
Yang, Zihou,
[325, 1745]
Yoshitomi, Yasunari,
[93]
Zhou, H.,
[1198]
Yu, Haibin,
[1339]
Zhou, Lei,
[666]
Yu, I. K.,
[1287]
Zhou, MengChu,
[967]
Yu, Xinghuo,
[1327]
Zhou, Yan-cong,
[1575]
Yuan, Zhen Ya,
[810]
Zhou, Yejin,
[219]
Yue, Kelvin K.,
[1064]
Zhou, Zecun,
[611]
Yuen, K. H.,
[1366]
Zhu, D. L.,
[293]
Yufu, Masanao,
[521]
Zimmer, N.,
[1048]
Yugeng, Xi,
[156, 1252]
Zio, Enrico,
[576]
Yukiko, Y.,
[1591]
Zio, E.,
[249, 570]
Yuping, Lu,
[760]
Zitzler, Eckart,
[1679]
Yurramendi, Yosu,
[1624]
Zainuddin, Roziati,
Znati, T.,
[731]
[1502]
Zakarian, Armand,
[889]
Zomaya, A. Y.,
[1183, 1324]
Zomaya, Albert Y.,
[937]
Yao, Bin,
[922]
Yao, L.,
[1291]
Yao, W. L.,
[186]
Yao, Xin,
Yao, Yang,
Yao, Y.,
Yaseen, I. F. T.,
Yasin, Mahmoud,
Yasuda, Kazuhiko,
Yatama, Anwar,
[1742]
[971]
[1117]
[234, 241]
[1144]
[1070]
[932]
Yates, Roy D.,
[414]
Ye, Ju,
[1600, 1620]
Ye, Zhongming,
[1366]
Yeh, Cgeng-Cheng,
[1555]
Zou, Runmin,
[1561]
Yeh, Chia-Hsuan,
[328]
Zamani, Reza,
[972]
Zoulfaghari, Hossein,
[580]
Yeh, E.-C.,
[716, 737]
Zaveri, Jigish S.,
[1411]
Zsuzsa, Szab´
o,
[303]
Yeh, J.-M.,
[492]
Zeitlhofer, T.,
[1367]
Zupanic, D.,
[1369]
Yeh, M. Y.,
[841]
Zeng, Xianyi,
[1245]
Yeh, W.-C.,
[935]
Zhang, Bao-Jin,
[409]
Zalzala, A. M. S.,
[1125, 530,
533, 1333]
total 1734 articles by 2778 different authors
40
4.7
Genetic algorithms in operations research
Subject index
All subject keywords of the papers given by the editor of this bibliography are shown next.
Annual index
4.8
41
Annual index
The following table gives references to the contributions by the year of publishing.
1966,
[1730]
1974,
[516]
1980,
[503, 512]
1983,
[816]
1984,
[513]
1985,
[29, 1397, 1705, 1706]
1986,
[506]
1987,
[1709, 1425, 77]
1988,
[1688, 1689, 819, 1701, 1426, 198, 538]
1989,
[1690, 1392, 556, 501, 878, 820, 1486,
1710, 1427, 510, 1720, 1722, 75, 1448, 1449, 1739]
1990,
[1685, 71, 1383, 1692, 1695, 1495,
822, 1702, 1408, 1412, 1418, 1712, 39, 1717, 1726, 1727, 879,
1452, 563, 1462]
1991,
[1493, 1682, 1377, 1380, 1382,
1691, 817, 1390, 1395, 500, 312, 1497, 1400, 1405, 823, 1407,
1487, 1707, 1413, 824, 1713, 37, 508, 40, 41, 825, 1716, 1719,
560, 1430, 1431, 1721, 74, 1433, 827, 1440, 1731, 1733, 1734,
1736, 1453, 1454, 1456, 1458, 199, 834, 1737, 1740, 1742]
1992,
[1542, 842, 315, 880, 843, 316, 1372,
1492, 1494, 1683, 1376, 1686, 1384, 813, 499, 815, 1386,
1693, 1393, 1394, 818, 1696, 1496, 31, 32, 1402, 1403, 559,
505, 536, 1708, 1415, 314, 35, 1488, 1419, 38, 1715, 1422,
42, 43, 45, 1424, 1498, 561, 1499, 217, 1434, 562, 1724, 1436,
1438, 1441, 1443, 1451, 1457, 515, 1459, 835, 836, 1738, 200,
47, 1741, 564, 1743, 517]
1993,
[11, 100, 1373, 1491, 1374, 1375, 196,
812, 498, 1684, 197, 1378, 1379, 1381, 1687, 1385, 877, 814,
1387, 1388, 555, 1389, 1694, 1391, 1396, 30, 72, 1398, 557,
1399, 1697, 1698, 33, 502, 1401, 558, 821, 1404, 1699, 1700,
1703, 1704, 313, 504, 1406, 1409, 1410, 244, 1411, 1414, 537,
1416, 34, 73, 507, 36, 1711, 1417, 1420, 1421, 1714, 44, 1423,
509, 1718, 511, 826, 1428, 1429, 1432, 1723, 1725, 828, 829,
1435, 1541, 1437, 46, 1728, 1439, 1729, 76, 1442, 1477, 1444,
1445, 1446, 1732, 830, 831, 832, 833, 1447, 514, 245, 1450,
1735, 1455, 1460, 837, 838, 839, 1461, 539, 246, 1478, 218,
1463, 1464, 219, 840, 841, 1744, 1745]
1994,
[974, 975, 976, 1578, 977, 50, 381, 978,
1579, 979, 980, 981, 51, 678, 382, 982, 1580, 1504, 52, 202,
983, 858, 1581, 203, 383, 1480, 984, 985, 256, 204, 205, 679,
986, 257, 53, 12, 223, 543, 987, 13, 1469, 988, 101, 14, 989,
54, 990, 859, 991, 206, 581, 1582, 15, 384, 224, 992, 680,
1583, 55, 1584, 56, 681, 1585, 993, 682, 102, 994, 1586, 995,
996, 1505, 683, 385, 225, 1470, 57, 1506, 684, 997, 386, 685,
1587, 686, 1507, 687, 998, 999, 1000, 207, 208, 209, 258, 860,
1588, 1001, 688, 1589, 226, 1002, 1590, 689, 1003, 259, 1489,
1004, 1005, 210, 690, 387, 544, 1591, 1006, 582, 388, 1007,
16, 296, 1481, 1008, 17, 1009, 861, 211, 1010, 260, 862, 18,
58, 691, 583, 692, 1011, 693, 389, 545, 694, 1508, 19, 1509,
695, 103, 1592, 1012, 1013, 212, 390, 696, 1014, 697, 1015,
1016, 1593, 1017, 1018, 1019, 227, 1020, 1540]
1995,
[1021, 1022, 104, 1023, 391,
1024, 1471, 1025, 1026, 1027, 1028, 297, 698, 228, 1510, 699,
392, 393, 700, 59, 1594, 213, 394, 1029, 1595, 1511, 1030,
1596, 1597, 1031, 395, 546, 1032, 1033, 396, 701, 1512, 1513,
1482, 1034, 1598, 863, 1035, 214, 1036, 702, 397, 1472, 1037,
1038, 261, 1039, 1040, 398, 521, 864, 1041, 298, 1599, 1042,
1600, 1514, 1043, 1044, 1045, 20, 215, 399, 400, 105, 106,
1601, 703, 1046, 107, 401, 1047, 1048, 1602, 1049, 1490,
1050, 262, 1603, 1515, 584, 60, 865, 1051, 402, 704, 1052,
403, 705, 1053, 1054, 1516, 404, 1604, 1055, 108, 1056, 706,
1057, 1605, 109, 1058, 1059, 707, 1060, 1061, 405, 708, 263,
61, 110, 1062, 1606, 406, 1607, 1608, 407, 1063, 111, 299,
1609, 1064, 709, 112, 710, 113, 317, 1065, 1517, 1483, 1066,
21, 1067, 1068, 1069, 1070, 711, 1071, 1072, 522, 114, 547,
22, 115, 1610, 585, 1073, 1074, 116, 117, 1611, 1075, 1612,
62, 712, 408, 1076, 586, 1077, 1078, 1079, 713, 1613, 1080,
1518, 1081, 409, 410, 1519, 1520, 1082, 1083, 229, 523, 1084,
587, 1085, 714, 118, 715, 1086, 1087, 716, 1088, 1089, 717,
588, 119, 1090, 1521, 1091, 589, 264, 590, 1092, 1614, 1615,
318, 718, 1093, 1094, 120, 719, 1746, 1465, 1747]
1996,
[1095, 1096, 720, 1097, 1098,
1616, 411, 412, 1099, 1100, 413, 866, 121, 1101, 548, 122,
123, 1102, 300, 1103, 414, 867, 1617, 721, 415, 591, 1104,
1522, 1523, 524, 722, 723, 301, 1105, 416, 1106, 124, 23, 125,
1618, 126, 724, 127, 1107, 302, 725, 1473, 1108, 1109, 1110,
24, 1111, 417, 1619, 418, 1112, 726, 727, 419, 1113, 1620,
1621, 1114, 1115, 1116, 1117, 1118, 1119, 728, 1622, 1623,
549, 1120, 1624, 420, 129, 1121, 1122, 421, 1123, 422, 130,
1124, 131, 1524, 1525, 1125, 230, 132, 423, 133, 1625, 424,
134, 1126, 1127, 1128, 1129, 1130, 303, 868, 425, 1131, 1626,
1132, 1133, 729, 730, 731, 135, 732, 426, 1134, 427, 1135,
1136, 1137, 1138, 733, 1139, 1140, 1141, 1142, 734, 1143,
136, 1627, 1144, 1145, 137, 265, 1146, 138, 1147, 1148, 139,
428, 1149, 1150, 1151, 140, 141, 266, 142, 429, 592, 735,
1628, 1152, 1153, 63, 1154, 1155, 430, 593, 143, 594, 431,
1156, 144, 736, 737, 432, 1157, 1158, 525, 25, 304, 738, 1159,
1160, 26, 1629, 145, 1161, 433, 434, 1162, 435, 436, 1163,
739, 146, 147, 740, 595, 596, 437, 1164, 1165, 1166, 267,
1630, 1167, 305, 597, 1168, 438, 1169, 1170, 741, 1171, 742,
148, 598, 439, 64, 1474, 1172, 743, 149, 744, 1173, 27, 150,
1174, 1175, 1176, 599, 440, 441, 442, 745, 1177, 746, 600,
747, 748, 1631, 601, 749]
1997,
[128, 1178, 750, 1179, 1180,
1181, 602, 1182, 1183, 1184, 443, 151, 526, 1526, 1527, 152,
1528, 444, 268, 1632, 1185, 751, 153, 1186, 1187, 1633, 154,
231, 1188, 1189, 1634, 1190, 1191, 1192, 603, 604, 527, 1635,
1193, 1194, 1195, 155, 528, 156, 157, 752, 1196, 1636, 158,
306, 445, 753, 1637, 869, 159, 1638, 160, 161, 1197, 269,
1198, 446, 447, 1199, 448, 1200, 754, 605, 1201, 162, 1202,
755, 1203, 1204, 756, 270, 1205, 449, 1206, 1207, 1208, 1639,
1640, 1209, 529, 1641, 163, 271, 65, 1210, 450, 757, 1211,
451, 758, 759, 1212, 232, 1529, 164, 165, 1213, 1214, 606,
166, 760, 1215, 452, 1642, 1216, 453, 454, 1217, 1643, 1218,
761, 1219, 167, 66, 455, 168, 1220, 169, 1221, 1222, 1223,
1224, 530, 1225, 762, 1644, 1645, 456, 1646, 1647, 1226, 457,
1227, 1228, 607, 458, 608, 1229, 1230, 1231, 1530, 763, 609,
764, 1232, 1484, 67, 233, 1531, 1233, 1234, 1235, 1236, 170,
459, 765, 766, 870, 1648, 1237, 1238, 1239, 171, 1240, 610,
531, 460, 550, 551, 1241, 767, 272, 1242, 1243, 1244, 611,
1649, 1245, 768, 532, 1246, 1247, 172, 1248, 1249, 1250, 307,
1251, 1532, 612, 273, 871, 1252, 769, 1253, 1254, 1255, 1256,
274, 1257, 770, 173, 533, 1258, 613, 174, 275, 276, 1259,
1260, 175, 1261, 614, 1533, 1262, 461, 1263, 176, 1264, 1265]
1998,
[918, 1266, 177, 1650,
1267, 771, 615, 178, 1268, 1269, 179, 1270, 1271, 28, 1651,
180, 462, 1272, 1652, 534, 1273, 1274, 463, 1275, 616, 617,
1653, 552, 1276, 1277, 1278, 1534, 216, 1279, 1280, 772,
618, 464, 181, 465, 466, 1485, 467, 1281, 1282, 1283, 1284,
1285, 1286, 1654, 68, 182, 234, 1287, 1655, 773, 1475, 1288,
468, 1656, 469, 277, 1289, 774, 1657, 1290, 183, 1658, 470,
1659, 471, 775, 1291, 776, 1660, 1292, 184, 1535, 1293, 472,
1294, 1536, 777, 473, 474, 185, 1295, 1296, 1297, 778, 1298,
235, 475, 278, 1299, 236, 476, 477, 478, 619, 1300, 1301, 779,
780, 781, 620, 621, 279, 1302, 1303, 872, 280, 1304, 479, 873,
480, 481, 1305, 1306, 1307, 308, 622, 1661, 1308, 1309, 1310,
1662, 623, 1311, 782, 186, 1312, 624, 625, 783, 535, 626, 482,
1313, 1314, 1315, 1663, 1316, 1317, 1318, 237, 784, 627, 483,
1319, 1664, 309, 785, 628, 629, 1320, 187, 1321, 630, 281]
42
1999,
2000,
2001,
2002,
Genetic algorithms in operations research
[1322, 310, 1323, 1324, 1537, 69,
1325, 484, 485, 1665, 311, 1326, 188, 1327, 786, 1328, 787,
788, 1666, 1329, 1330, 631, 70, 1331, 1476, 789, 1332, 486,
487, 488, 1333, 1334, 1667, 790, 489, 490, 1335, 791, 1336,
1337, 282, 238, 1668, 491, 189, 190, 1338, 1339, 1340, 239,
792, 240, 1669, 241, 1341, 793, 794, 492, 1342, 795, 632,
1343, 493, 1344, 1345, 1346, 633, 1670, 1671, 1347, 1348,
1672, 1673, 1349, 796, 797, 634, 1674, 1675, 798, 283, 874,
242, 243, 635, 799, 1350, 1351, 800, 1352, 1353, 494, 1354,
801, 553, 191, 1676, 1355, 495, 284, 802, 1356, 1357, 192,
803, 1358, 636, 1359, 496, 1677, 804, 637, 1360, 1361, 638,
1538, 805, 193, 1362, 1363, 1364, 1365, 806, 497, 194, 285,
807, 1366, 1367, 1678, 1679, 1368, 639, 808, 1369, 286, 1680,
1370, 1681, 640, 287, 195, 554, 809, 875, 810, 1371, 1539,
811, 876]
[319, 320, 881, 1479, 844,
1543, 247, 883, 884, 565, 885, 78, 1544, 886, 566, 887,
888, 321, 1545, 1546, 641, 889, 890, 322, 323, 79, 891,
80, 324, 1500, 893, 81, 845, 1547, 248, 642, 846, 894,
568, 325, 896, 897, 898, 249, 643, 326, 847, 327, 250,
82, 644, 645, 83, 84, 1548, 899, 900, 328, 848, 646, 329,
569, 570, 902, 849, 647, 1549]
882,
567,
892,
895,
540,
901,
[330, 903, 331, 904, 648, 48, 1550,
332, 905, 333, 906, 850, 251, 571, 572, 907, 851, 908, 909,
334, 852, 910, 335, 220, 336, 911, 221, 649, 912, 337, 338,
85, 913, 1551, 914, 915, 916, 917, 339, 650, 340, 1552, 341,
342, 919, 920, 921, 343, 922, 1553, 288, 252, 344, 651, 853,
652, 854, 923, 924, 653, 654, 1466]
[925, 345, 86, 1554, 655, 346, 1555, 87,
347, 926, 88, 656, 573, 541, 348, 289, 927, 1501, 928, 1556,
349, 518, 929, 1557, 350, 855, 519, 930, 49, 351, 931, 222,
89, 657, 90, 932, 933, 352, 658, 856, 1558, 659, 574, 857, 91,
934, 92, 1559, 660, 1560, 353, 354, 935, 661, 936, 1561, 93,
355, 937, 938, 939, 940]
2003,
[290, 575, 1562, 941, 1563, 1564, 356,
520, 357, 358, 662, 942, 94, 576, 359, 663, 943, 577, 360]
2004,
[361, 201, 944, 945, 362, 664, 1467,
363, 364, 365, 366, 1565, 95, 665, 367, 946]
2005,
[291, 253, 368, 947, 369, 948, 1566,
292, 1567, 666, 1568, 667, 370, 949, 96, 1502, 1569, 1468]
2006,
[950, 668, 951, 293, 669, 371, 952,
1570, 372, 953, 542]
2007,
[373, 294, 374, 670, 954, 954, 955]
2008,
[956, 375, 1571, 295, 376]
2009,
[671, 672, 957, 673]
2010,
[958, 1572, 674, 377, 254, 1503, 1573,
675]
2011,
2012,
[676, 959, 378, 960, 97, 961, 578, 579,
1574, 379, 962, 1575, 963]
[964, 965, 966, 967, 255, 1576, 969]
Geographical index
4.9
43
Geographical index
The following table gives references to the contributions by country.
• Algeria: [851, 854, 86, 958]
• Argentina: [91]
• Australia: [563, 1493, 1492, 1494, 35, 1374, 1375, 244,
36, 218, 223, 1027, 1598, 1047, 1055, 707, 22, 1094,
120, 1116, 1120, 1179, 1183, 1200, 757, 1221, 1223, 458,
1257, 1270, 1274, 785, 1324, 1327, 489, 239, 283, 287,
888, 85, 342, 972]
• Austria: [1114, 1142, 1162, 442, 237, 238, 1340, 1367,
1569]
• Belgium: [82, 1400, 1407, 32, 505, 33, 502, 1010, 23,
425, 144, 1159, 1635, 528, 1663, 787, 1667, 191, 364,
95, 665, 956, 960, 578]
• Brazil: [1602, 1126, 154, 1266, 1475, 775, 184, 1314,
789, 790, 1676, 1357, 340, 953, 255, 968]
• Byelorussia: [65]
• Canada: [1455, 681, 685, 861, 692, 391, 546, 863, 1038,
1599, 710, 1076, 1102, 1617, 1619, 726, 727, 1626, 432,
739, 1165, 64, 743, 745, 746, 748, 1631, 749, 1180, 454,
168, 1253, 773, 473, 475, 1665, 639, 897, 1551, 653, 654,
929, 358, 201, 667, 370, 668, 671, 963]
• China: [493, 213, 113, 116, 409, 524, 722, 723, 1112,
140, 592, 1628, 146, 147, 148, 751, 1633, 527, 156, 161,
1198, 1199, 449, 1640, 166, 760, 611, 172, 1248, 1252,
216, 1292, 777, 780, 186, 486, 487, 1334, 791, 1339,
240, 1673, 1356, 192, 1678, 324, 895, 325, 901, 907, 518,
1557, 89, 574, 936, 1561, 355, 666, 1468, 293, 669, 1571,
376, 675, 1575, 967, 971, 1546, 515, 1491, 210, 1065,
1168, 529, 1246, 476, 480, 783, 535, 1320, 1335, 1344,
1358, 1366, 329, 339, 292]
• Croatia: [985, 712, 734, 736, 752, 765, 772]
• Denmark: [1480, 543, 1481, 697, 1482, 129, 1129, 136,
1529, 637, 193, 917]
• Finland: [1542, 842, 315, 880, 843, 316, 11, 12, 57, 1746,
1465, 1747, 1206, 1643, 66, 918, 1279, 1654, 69, 188,
788, 793, 1674, 800, 1352, 494, 808, 811, 646, 648, 336,
652, 1466, 942, 367, 954, 955, 377, 254, 966, 380]
• India: [1376, 1434, 812, 686, 209, 694, 394, 1053, 1113,
132, 1143, 1147, 607, 1255, 613, 1272, 234, 1298, 1311,
1319, 1321, 310, 241, 1675, 1360, 898, 83, 911, 337, 92,
961, 579]
• Iran: [96, 97, 580]
• Israel: [509, 583, 595, 606, 457, 608, 1299, 630, 281,
282, 286, 567, 568, 571, 572, 575, 368]
• Italy: [1495, 817, 1497, 823, 560, 1696, 1496, 561, 1499,
557, 1728, 228, 395, 401, 108, 1058, 1060, 1068, 711,
867, 1524, 1525, 431, 525, 1164, 440, 157, 1294, 1325,
484, 1337, 554, 881, 249, 570, 850, 1552, 576, 965]
• Japan: [883, 80, 81, 1501, 1377, 37, 1433, 199, 1415, 38,
217, 1738, 200, 1743, 100, 197, 313, 1406, 1416, 1417,
829, 1444, 1445, 830, 831, 832, 833, 1460, 1461, 246,
981, 205, 257, 53, 988, 990, 581, 15, 995, 996, 683, 1587,
687, 998, 258, 860, 688, 1002, 689, 690, 1591, 211, 260,
18, 1013, 212, 1015, 1016, 1019, 1035, 1039, 1040, 521,
1600, 1043, 215, 107, 1049, 262, 704, 1604, 1061, 110,
1063, 111, 299, 1609, 1070, 115, 1073, 1074, 586, 1077,
1078, 1079, 1081, 1082, 1084, 587, 1085, 715, 1090, 589,
590, 1092, 1614, 718, 719, 1095, 1098, 121, 1101, 126,
127, 1110, 1620, 1117, 1118, 1119, 1622, 421, 1123, 230,
133, 1132, 135, 732, 1135, 1137, 1138, 1140, 1145, 137,
265, 1146, 1148, 1150, 142, 63, 1157, 1161, 1163, 596,
267, 305, 1170, 741, 1171, 598, 1172, 149, 1173, 150,
1175, 599, 600, 601, 128, 1178, 1182, 1196, 158, 306,
159, 1197, 269, 162, 1202, 1641, 1210, 164, 165, 1215,
1642, 453, 1218, 761, 167, 455, 1224, 1225, 762, 1229,
1232, 67, 233, 1237, 1238, 171, 1240, 1243, 768, 532,
173, 175, 1261, 461, 1263, 176, 1265, 177, 1267, 771,
179, 618, 464, 1284, 1285, 1286, 1655, 1657, 1290, 183,
1658, 470, 1535, 1536, 474, 778, 235, 1300, 280, 1307,
308, 622, 1308, 1310, 1662, 625, 627, 483, 1664, 628,
629, 786, 488, 491, 1338, 794, 795, 633, 1670, 798, 242,
243, 635, 1361, 638, 1362, 1364, 1368, 1370, 640, 195,
809, 1545, 322, 845, 896, 250, 644, 902, 647, 903, 332,
905, 338, 915, 916, 920, 921, 651, 923, 1554, 931, 660,
93, 359, 1574]
• Kuwait: [1022, 1046, 1089, 1093, 1153]
• Lebanon: [947]
• Macau: [623]
• Malaysia: [1502, 1503, 970]
• France: [1456, 1457, 196, 1409, 858, 859, 862, 390, 297,
1594, 864, 263, 548, 300, 1104, 1105, 124, 131, 1131,
427, 448, 163, 169, 550, 1249, 307, 1268, 28, 552, 181,
185, 1296, 477, 478, 189, 1669, 1350, 1354, 495, 1681,
650, 856, 945]
• Germany: [886, 891, 512, 513, 77, 1688, 1689, 538, 1690,
1720, 1722, 75, 1685, 71, 1408, 39, 1713, 40, 41, 1721,
74, 1686, 1384, 1386, 559, 536, 1419, 1715, 42, 43, 45,
562, 1438, 1687, 1385, 1387, 1388, 1697, 44, 1446, 1732,
539, 978, 203, 984, 679, 224, 102, 226, 1004, 16, 1008,
58, 691, 1017, 1018, 1028, 1597, 396, 1512, 1034, 1514,
20, 399, 1048, 1054, 1056, 112, 1517, 118, 122, 123,
1106, 1618, 1108, 1109, 419, 130, 423, 134, 428, 1151,
430, 143, 25, 738, 742, 1177, 1184, 1526, 1187, 1194,
1637, 869, 1638, 754, 1205, 1644, 1646, 1230, 1484, 870,
1648, 531, 551, 767, 769, 1254, 1262, 1650, 1269, 1277,
1302, 1304, 1309, 1316, 1328, 1329, 190, 792, 553, 285,
1500, 893, 540, 904, 852, 220, 914, 655, 541, 1556, 349,
933, 520, 1467, 365, 1565, 1566, 1570, 374]
• Greece: [656, 1059, 481, 782, 309, 1537, 641, 643, 333,
928]
• Hungary: [1711, 61]
• Marocco: [1559]
• Mexico: [1538, 1539, 98]
• New Zealand: [1186, 1227]
• Norway: [1033]
• Poland: [1014, 1042, 1174, 1528, 1190, 1195, 232, 1531,
766, 1239, 1259, 1271, 1280, 1305, 1336, 1343, 1553,
927, 937, 677]
• Portugal: [208, 1522, 887, 351, 662, 1573]
• Romania: [1506, 303, 304, 1666]
• Russia: [1684, 1623, 1476]
• Saudi Arabia: [976, 412, 526, 330]
• Singapore: [1498, 256, 259, 302, 1169, 1474, 155, 1211,
1217, 801, 894, 913, 288, 252, 289, 94]
• Slovenia: [1403, 1404, 1069, 284, 1369]
• South Africa: [514]
44
Genetic algorithms in operations research
• South Korea: [1548, 1451, 1463, 1464, 979, 393, 105,
106, 709, 585, 1612, 119, 1523, 725, 417, 549, 429, 597,
1207, 1208, 758, 1231, 1245, 1273, 1283, 1289, 774,
1659, 482, 1677, 807, 908, 926, 222, 1560, 959, 99]
• Spain: [52, 682, 693, 104, 1596, 721, 1624, 729, 231,
753, 462, 1485, 1293, 278, 781, 1672, 319, 899, 48, 659,
357, 362, 664, 369, 1568, 373, 375, 1577]
• Sri Lanka: [670]
• Sweden: [385, 1649, 796, 925]
• Switzerland: [1432, 1030, 70, 1679, 320]
• Taiwan: [31, 1698, 1725, 841, 1469, 14, 17, 699, 522,
1610, 125, 1127, 1128, 141, 266, 145, 160, 1247, 275,
534, 1282, 1291, 620, 1313, 492, 1348, 806, 497, 884,
645, 912, 341, 344, 1555, 935, 1563, 294, 673, 676]
• Thailand: [735]
• The Czech Republic: [1203, 1645, 1236, 1295, 49, 939,
1613, 1625, 221]
• The Netherlands: [844, 1726, 1393, 1437, 1583, 1489,
1540, 1041, 1045, 109, 717, 1615, 1216, 1235, 871, 331,
672]
• The Slovak Republic: [1067, 779, 1355, 949, 295]
• Tunisia: [84]
• Turkey: [1513, 1181, 604, 460, 612, 614, 467, 1347, 327,
346, 356]
• United Kingdom: [87, 90, 658, 938, 1430, 1431, 1440,
1372, 499, 1402, 314, 1488, 1441, 1401, 1699, 1700, 504,
1414, 537, 826, 1428, 1429, 1723, 1435, 1541, 76, 975,
1578, 980, 982, 1504, 983, 101, 1505, 1507, 1590, 1508,
19, 1509, 1592, 1012, 1023, 1026, 698, 1510, 700, 59,
1511, 1032, 701, 261, 298, 1490, 1050, 1515, 402, 1516,
1062, 1606, 407, 1066, 1518, 410, 1519, 1520, 1083, 523,
1086, 1521, 1091, 264, 1616, 411, 1099, 416, 1473, 418,
1115, 728, 1124, 1125, 868, 1139, 1627, 138, 1154, 433,
1166, 27, 1176, 747, 1527, 444, 1189, 1193, 1209, 271,
759, 1213, 1219, 1220, 530, 456, 763, 764, 1233, 610,
272, 1250, 1251, 1532, 273, 1256, 274, 533, 1260, 1533,
1264, 615, 180, 1276, 1278, 1534, 1288, 468, 236, 1303,
1317, 784, 187, 1330, 1332, 1333, 1345, 1346, 797, 803,
1363, 194, 247, 565, 566, 79, 1547, 248, 326, 569, 334,
910, 335, 649, 919, 924, 657, 1558, 354, 290, 361, 944,
291, 1572, 378, 962, 964, 969]
• United States: [1479, 1544, 889, 900, 1397, 1705, 1706,
1425, 1701, 1426, 198, 501, 878, 1427, 510, 1739, 822,
1702, 1712, 1717, 879, 1462, 1682, 1382, 1395, 500, 312,
1707, 825, 1716, 827, 1731, 1733, 1734, 1736, 834, 1737,
1740, 1683, 813, 815, 1693, 818, 1708, 1424, 1724, 835,
836, 47, 1741, 564, 498, 1378, 1379, 877, 814, 555, 1389,
1391, 1396, 72, 1398, 1399, 821, 1703, 1704, 1410, 1411,
73, 1420, 1421, 1714, 1423, 1718, 828, 1729, 1442, 1477,
1447, 245, 1450, 837, 838, 839, 1478, 219, 1744, 974,
977, 50, 381, 1579, 678, 382, 1580, 202, 1581, 383, 204,
986, 987, 13, 989, 54, 991, 206, 384, 992, 680, 55, 1584,
56, 1585, 993, 994, 1586, 225, 1470, 684, 997, 386, 999,
1000, 1588, 1589, 1003, 1005, 387, 544, 1006, 582, 388,
1007, 296, 1009, 1011, 389, 695, 103, 696, 1593, 227,
1020, 1021, 1024, 392, 1029, 1595, 1031, 214, 1036, 397,
398, 1044, 400, 1601, 703, 1603, 584, 60, 865, 1051,
1052, 705, 404, 1605, 405, 406, 1607, 1608, 1064, 1483,
1071, 1072, 114, 547, 117, 1611, 62, 408, 713, 1080, 229,
714, 1087, 716, 1088, 588, 318, 1096, 720, 1097, 1100,
413, 866, 1103, 414, 415, 591, 301, 1107, 24, 1111, 1621,
420, 1121, 1122, 422, 424, 1130, 1133, 731, 426, 1134,
1136, 1141, 1144, 139, 1149, 1152, 1155, 593, 594, 737,
1158, 1160, 26, 1629, 434, 435, 436, 740, 437, 1630,
1167, 438, 439, 744, 441, 750, 443, 151, 152, 268, 1632,
1185, 153, 1188, 1634, 1192, 603, 446, 447, 605, 1201,
1204, 756, 270, 1639, 450, 451, 1212, 1214, 609, 170,
1242, 1244, 770, 1258, 174, 1652, 1275, 1653, 466, 1281,
182, 1656, 469, 471, 776, 1660, 472, 1297, 872, 873,
1306, 1661, 1312, 1322, 1323, 485, 311, 1326, 1331, 490,
1668, 1341, 1342, 1671, 1349, 799, 1351, 496, 805, 1365,
1680, 875, 810, 1371, 876, 1543, 321, 892, 846, 847, 848,
849, 1549, 1550, 251, 909, 922, 88, 350, 855, 519, 930,
932, 857, 934, 661, 940, 1562, 941, 943, 577, 360, 366,
946, 253, 948, 1567, 950, 372, 542, 379, 973]
• Unknown country: [30, 1025, 702, 1057, 21, 1075, 730,
733, 1156, 602, 1191, 1636, 445, 755, 452, 1222, 1647,
1226, 1228, 1530, 1234, 1241, 276, 178, 1651, 463, 616,
617, 465, 1287, 277, 619, 1301, 621, 279, 479, 624, 626,
1315, 1318, 631, 632, 634, 874, 1353, 802, 636, 1359,
882, 885, 78, 890, 323, 642, 328, 343, 345, 347, 573,
348, 352, 353, 1564, 663, 363, 951, 952, 957, 1576]
• Venezuela: [1037, 68]
• Yugoslavia: [853]
• Zimbabwe: [906]
Bibliography
[1] John H. Holland. Genetic algorithms. Scientific American, 267(1):44–50, 1992. ga:Holland92a.
[2] Jarmo T. Alander. An indexed bibliography of genetic algorithms: Years 1957-1993. Art of CAD Ltd.,
Vaasa (Finland), 1994. (over 3000 GA references).
[3] David E. Goldberg, Kelsey Milman, and Christina Tidd. Genetic algorithms: A bibliography. IlliGAL
Report 92008, University of Illinois at Urbana-Champaign, 1992. ga:Goldberg92f.
[4] N. Saravanan and David B. Fogel. A bibliography of evolutionary computation & applications. Technical
Report FAU-ME-93-100, Florida Atlantic University, Department of Mechanical Engineering, 1993. (ftp:
//magenta.me.fau.edu/pub/ep-list/bib/EC-ref.ps.Z) ga:Fogel93c.
[5] Thomas B¨
ack. Genetic algorithms, evolutionary programming, and evolutionary strategies bibliographic
database entries. (personal communication) ga:Back93bib, 1993.
[6] Thomas B¨
ack, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms. Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992. ga:Schwefel92d.
[7] David L. Hull. Uncle Sam wants you. Science, 284(5417):1131–1133, 14. May 1999.
[8] Leslie Lamport. LATEX: A Document Preparation System. User’s Guide and Reference manual. AddisonWesley Publishing Company, Reading, MA, 2 edition, 1994.
[9] Alfred V. Aho, Brian W. Kernighan, and Peter J. Weinberger. The AWK Programming Language. AddisonWesley Publishing Company, Reading, MA, 1988.
[10] Diane Barlow Close, Arnold D. Robbins, Paul H. Rubin, and Richard Stallman. The GAWK Manual.
Cambridge, MA, 0.15 edition, April 1993.
[11] Antti Autere. GA and 3D bin packing. In Jarmo T. Alander, editor, Proceedings of the First Finnish
Workshop on Genetic Algorithms and their Applications, volume TKO-A30 of Research Reports. Espoo
(Finland), 4.-5. November 1992 1993. GA:Autere93a.
[12] Jarmo Hemminki. Container loading with variable strategies in each layer. Research Reports A7, University
of Turku, Institute of Applied Mathematics, 1994. ga94aHemminki.
[13] Randy lee House. An approach to three-dimensional stock cutting using genetic algorithms. PhD thesis,
University of Missouri, Rolla, 1994. * DAI Vol 56 No 4 ga94aHouse.
[14] Shian-Miin Hwang, Cheng-Yan Kao, and Jorng-Tzong Horng. On solving rectangle bin packing problems
using genetic algorithms. In Proceedings of the 1994 IEEE International Conference on Systems, Man,
and Cybernetics, volume 2, pages 1583–1590, San Antonio, TX, 2.-5. October 1994. IEEE, New York. *
EI M096127/95 ga94aHwan.
[15] Takashi Kawakami and Yukinori Kakazu. Strategy acquisition of the 3-D packing problem in multiagent
environment (GA-based hierarchical tuning). Nippon Kikai Gakkai Ronbunshu C Hen, 60(577):3219–3225,
September 1994. (in Japanese, English) * EI M066776/95 ga94aKawakami.
[16] A. Bortfeldt. A genetic algorithm for the container loading problem. In ?, editor, Proceedings of the
Adaptive Computing and Information Processing, volume 2, pages 749–757, London, UK, 25.-27. January
1994. Unicom Seminars 1994, Uxbridge, UK. * CCA27770/96 ga94bBortfeld.
[17] Feng-Tse Lin and Cheng-Yan Kao. The annealing-genetic approach for solving the bin-packing problems.
In ?, editor, Proceedings of the 1994 International Computer Symposium Conference, volume 1, pages
126–131, Hsinchu (Taiwan), 12.-15. December 1994. National Chiao Tung University, Hsinchu (Taiwan).
* CCA53066/95 ga94bF-TLin.
45
46
Genetic algorithms in operations research
[18] T. Kawakami and Y. Kakazu. A GA-based hierarchical tuning of the 3-D packing strategy in a multiagent
environment. In Proceedings of the Symposium on Flexible Automation - A Pacific Rim Conference,
volume 3, pages 1319–1326, Kobe (Japan), 11.-18. July 1994. Inst. Syst. Control & Inf. Eng. , Kyota
(Japan). †CCA10248/95 ga94bKawakami.
[19] Colin R. Reeves. A genetic approach to bin-packing. In Alander [1752], pages 35–49. (ftp://ftp.uwasa.
fics/report94-2/Reeves2.ps.Z) ga94bReeves.
[20] Sami Khuri, Martin Sch¨
utz, and J¨
org Heitk¨
otter. Evolutionary heuristics for the bin-packing problem. In
Pearson et al. [1753], pages 285–288. ga95aKhuri.
[21] Emanuel Falkenauer. Tapping the full power of genetic algorithm through suitable representation and
local optimization: Application to bin packing. In Biethahn and Nissen [1754], pages 167–182. †Schwehm
ga95bFalkenauer.
[22] R. Hinterding and L. Khan. Genetic algorithms for cutting stock problems: with and without contiguity.
In Yao [1755], pages 166–186. * CCA 77659/95 ga95bHinterding.
[23] Emanuel Falkenauer. A hybrid grouping genetic algorithm for binblpacking. Journal of Heuristics, 2(1):5–
30, ? 1996. †GAdigest v11 n2 ga96aFalkenauer.
[24] Ilkka Ikonen, William E. Biles, Anup Kumar, and Rammonhan K. Ragade. Concept for a genetic algorithm
for packing three dimensional objects of complex shape. In Proceedings of the First Online Workshop
on Soft Computing (WSC1), pages 211–215, WWW (World Wide Web), 19.-30. August 1996. Nagoya
University. ga96aIkonen ⇒ WWW(WorldWideWeb).
[25] Nicole G¨
ockel, G. Markmann, Rolf Drechsler, and Bernd Becker. A hybrid genetic algorithm for the bin
packing problem. In Proceedings of the International ICSC Symposia on Intelligent Industrial Automation
and Soft Computing, pages B258–263, Reading, UK, 26.-28. March 1996. Int. Comput. Sci. Conventions,
Millet, Alta. (Canada). †CCA 77345/96 ga96bGockel.
[26] Pierre N. Grignon, John R. Wodziak, and Georges M. Fadel. Bi-objective optimization of components
packing using a genetic algorithm. In Proceedings of the 6th AIAA, NASA, and ISSMO, Symposium
on Multidisciplinary Analysis and Optimization, pages 352–362, Bellevue, WA, 4.-6. September 1996.
American Institute of Aeronautics and Astronautics, Reston, VA. †A96-38737 ga96bGrignon.
[27] Colin R. Reeves. Hybrid genetic algorithms for bin-packing and related problems. Ann. Oper. Res.
(Netherlands), 63(?):371–396, 1996. †CCA70142/96 ga96cReeves.
[28] Catherine Bounsaythip. Algorithmes Heuristiques et Evolutionnistes: Application a
` la R´esolution du
Probl´eme de Placement de Formes Irr´eguli`eres. PhD thesis, L’Universite des Sciences et Technologiques
de Lille, 1998. (In French; abstract in English) ga98aBounsaythip.
[29] Derek Smith. Bin packing with adaptive search. In Grefenstette [1749], pages 202–207. ga:DSmith85.
[30] L. Randy House and H. Cihan Dagli. Genetic three dimensional packer. In ?, editor, Intelligent Engineering Through Artificial Neural Networks, volume 3, pages 837–842, ?, ? 1993. ASME Press. †[1748]
ga:Dagli93b.
[31] Cheng-Yan Kao and Feng-Tse Lin. A stochastic approach for the one-dimensional bin-packing problems.
In Proceedings of the 1992 IEEE International Conference on Systems, Man, and Cybernetics, volume 2,
pages 1545–1551, Chicago, IL, 18.-21. October 1992. IEEE Computer Society Press, Loa Alamitos, CA.
ga:FTLin92a.
[32] Emanuel Falkenauer and A. Delchambre. A genetic algorithm for bin packing and line balancing. In
Proceedings of the 1992 IEEE International Conference on Robotics and Automation, volume 2, pages
1186–1192, Nice, France, 12. - 14. May 1992. IEEE Robotics and Automation Society, IEEE Computer
Society Press, Los Alamitos, California. ga:Falkenauer92a.
[33] Emanuel Falkenauer. Setting new limits in bin packing with a grouping GA using reduction. Technical
Report ?, CRIF Industrial Automation, 1993. †GAdigest.v8n13 ga:Falkenauer93c.
[34] Jin-Ling Lin, Bobbie Foote, Simin Pulat, Chir-Ho Chang, and John Y. Cheung. Hybrid genetic algorithm
for container packing in three dimensions. In Proceedings, The Ninth International Conference on Artificial
Intelligence for Applications, pages 353–359, Orlando, FL, 1.-5. March 1993. IEEE Computer Society Press,
Los Alamitos, CA. ga:JLLin93a.
[35] Kate Juliff. Using a multi chromosome genetic algorithm to pack a truck. Technical Report RMIT CS
TR 92-2, Royal Melbourne Institute of Technology, Department of Computer Science, 1992. †BackBib
ga:Juliff92a.
Bibliography
47
[36] Kate Juliff. A multi-chromosome genetic algorithm for pallet loading. In Forrest [1750], pages 467–473.
ga:Juliff93a.
[37] Takashi Kawakami, Masaaki Minagawa, and Yukinori Kakazu. Auto tuning of 3-D packing rules using
genetic algorithms. In Proceedings IROS ’91 IEEE/RSJ International Workshop on Intelligent Robots
and Systems ’91, volume 3, pages 1319–1324, Osaka, 3.-5. November 1991. IEEE Cat. No. 91TH0375-6.
ga:Kawakami91.
[38] Takashi Kawakami and Masaaki Minagawa. Automatic tuning of 3-D packing strategy and rule-base
contruction using GA. Trans. Inf. Process. Soc. Jpn. (Japan), 33(6):761–768, 1992. * CCA 63405/92
ga:Kawakami92.
[39] Berthold Kr¨
oger, Peter Schwenderling, and Oliver Vornberger. Parallel genetic packing of rectangles. In
Schwefel and M¨
anner [1751], pages 160–164. ga:Kroger90.
[40] Berthold Kr¨
oger, Peter Schwenderling, and Oliver Vornberger. Genetic packing of rectangles on transputers. In P. Welch, D. Stiles, T. L. Kunii, and A. Bakkers, editors, Transputing ’91. Proceedings of the
World Transputer User Group (WOTUG), pages 593–608, Sunnyvale, CA, 22.-26. April 1991. IOS Press,
Amsterdam. †ACM/91 ga:Kroger91a.
[41] Berthold Kr¨
oger. Elegant tiefstabeln. MC, 5(?):72–88, 1991. †Back/bib/unp ga:Kroger91b.
[42] Berthold Kr¨
oger, Peter Schwenderling, and Oliver Vornberger. Parallel genetic packing on transputers.
Technical Report Reihe I Informatik Heft 29, Universit¨
at Osnabr¨
uck, Fachbereich Matematik/Informatik,
1992. ga:Kroger92a.
[43] Berthold Kr¨
oger and Oliver Vornberger. Enumerative vs. genetic optimization: Two parallel algorithms for
the bin packing problem. In B. Monier and T. Ottmann, editors, Data Structures and Efficient Algorithms.
Final Report on the DFG Special Initiative, pages 330–362. Springer-Verlag, Berlin, 1992. † ga:Kroger92b.
[44] Berthold Kr¨
oger, Peter Schwenderling, and Oliver Vornberger. Parallel genetic packing on transputers.
pages 151–185. 1993. †Branke ga:Kroger92c.
[45] Berthold Kr¨
oger, Peter Schwenderling, and Oliver Vornberger. Massive parallel genetic packing. In G. L.
Reijns and Jian Luo, editors, Transputing in numerical and neural network applications, pages 214–230.
IOS Press, Amsterdam, 1992. * CCA 33324/93 ga:Kroger92d.
[46] Roy P. Pargas and Rajat Jain. A parallel stochastic optimization algorithm for solving 2D bin packing problems. In Proceedings, The Ninth International Conference on Artificial Intelligence for Applications, pages
18–25, Orlando, FL, 1.-5. March 1993. IEEE Computer Society Press, Los Alamitos, CA. ga:Pargas93a.
[47] Arthur Leo Corcoran, III and Roger L. Wainwright. A genetic algorithm for packing in three dimensions.
In H. Berghel, G. Hedrick, E. Deaton, D. Roach, and R. Wainwright, editors, SAC’92 Proceedings of the
1992 ACM/SIGAPP Symposium, volume II, pages 1021–1030, Kansas City, KS, 1.-3. March 1992. ACM
Press, New York. * CCA 86090/94 ACM/92 EI M078459/93 ga:Wainwright92b.
[48] Enrique Alba Torres and Sami Khuri. Applying evolutionary algorithms to combinatorial optimization
problems. In V. N. Alexandrov, J. J. Dongarra, B. A. Juliano, R. S. Renner, and C. J.Kenneth Tan, editors,
Computational Science - ICCS 2001, International Conference, volume LNCS of 2074, pages 689–700, San
Francisco, CA, 28.-30. May 2001. Springer-Verlag Berlin Heidelberg. * www /Springer ga01aEATorres.
[49] Jiri Ocenasek and Josef Schwarz. The distributed Bayesian optimization algorithm for combinatorial
optimization. pages 115–120, 2002. ga02aJOcenasek.
[50] David H. Ardell. TOPE and magic squares: A simple GA approach to combinatorial optimization. In
Koza [1757], page ? †conf.prog ga94aArdell.
[51] D. W. Coit and A. E. Smith. Use of a genetic algorithm to optimize a combinatorial reliability design
problem. In ?, editor, Proceedings of the Third IIE Research Conference, pages 467–472, ?, ? 1994. ?
†[584] ga94aCoit.
[52] Carlos Cotta Porras, Antonio Nebro, and Jos´e Francisco Aldana Montes. Dise˜
no y evaluaci´
on de t´ecnicas
mixtas basadas en algoritmos gen´eticos y de branch-and-bound para la resoluci´
on de problemas de optimizaci´
on conbinatoria. Internal Reseach Technical Report LCC-ID-94/10, Universidad de M´
alaga, Departemento de Lenguajes y Ciencias de la Computaci´
on, 1994. (in Spanish) †Alba Torres ga94aCotta.
[53] H. Tamura, A. Hirahara, I. Hatono, and M. Umano. An approximate solution method for combinatorial
optimization - a hybrid approach of genetic algorithm and Lagrange relaxation method. Transactions of
the Society of Instrument and Control Engineers (Japan), 30(3):329–336, March 1994. (in Japanese) *
CCA 51364/94 ga94aHTamura.
48
Genetic algorithms in operations research
[54] A. Ishigame, H. Shirai, S. Kawamoto, and T. Taniguchi. A solution of combinatorial optimization problem
by uniting genetic algorithms with Hopfield’s model. In Proceedings of ICCI94/Neural Networks, pages –,
Orlando, FL, 26. June - 2. July 1994. IEEE, New York, NY. ga94aIshigame.
[55] Lon-Chan Chu. Algorithms for combinatorial optimization in real-time and their automated refinements
by genetics-based learning. PhD thesis, University of Illinois at Urbana-Champaign, 1994. * DAI Vol 55
No 12 ga94aLCChu.
[56] David Mark Levine. A parallel genetic algorithm for the set partitioning problem. PhD thesis, Illinois Institute of Technology, 1994. (also as [1758], ftp://info.mcs.anl.gov/pub/tech{{\protect\
protect\protect\edefOT1{OT1}\let\enc@update\relax\protect\edefcmr{cmr}\protect\edefm{m}\
protect\edefn{n}\protect\xdef\OT1/cmr/m/it/9{\OT1/cmr/m/n/9}\OT1/cmr/m/it/9\size@update\
enc@update\ignorespaces\relax\protect\relax\protect\edefcmr{cmr}\protect\xdef\OT1/cmr/m/
it/9{\OT1/cmr/m/n/9}\OT1/cmr/m/it/9\size@update\enc@update{_}}}reports/ANL9423.ps.Z) * DAI
Vol 55 No 5 ga94aLevine.
¨
[57] Patric Osterg˚
ard. Kombinatorinen optimointi paikallisella haulla [Combinatorial optimization with local
search]. In ?, editor, VI Teollisuus- ja Insin¨
o¨
orimatematiikan P¨
aiv¨
at [Proceedings of the VI Finnish Industrial and Engineer Mathematics Days], page 1, Tampere (Finland), 23.-24. May 1994. ? (in Finnish)
ga94aOstergard.
[58] Sami Khuri, Thomas B¨
ack, and J¨
org Heitk¨
otter. An evolutionary approach to combinatorial optimization
problems. In ?, editor, Proceedings of the 22nd Annual ACM Computer Science Conference, pages 66–73,
Phoenix, AZ, 8.-10. March 1994. ACM Press, New York. †Back ga94bKhuri.
[59] J. N. Carter. Optimal performance of genetic algorithm and stochastic hill-climbers for combinatorial
optimisation. In Proceedings of the Artificial Neural Networks in Engineering (ANNIE95), volume 5,
pages 339–344, St. Louis, MO, 12.-15. November 1995. ASME Press, New York, NY. †CCA9083/97
ga95aCarter.
[60] Panos M.Pardalos, L.Pitsoulis, T. Mavridou, and M.G. C. Resende. Parallel search for combinatorial optimization: genetic algorithms, simulated annealing, tabu search and GRASP. In A. Ferreira and J. Rolim,
editors, Proceedings of the Second International Workshop on Parallel Algorithms for Irregularly Structured
Problems, IRREGULAR’95, volume 980, pages 317–331, Lyon (France), September 1995. Springer-Verlag,
Berlin. †Pardalos/lop ga95aPardalos.
[61] G´
abor J. T´
oth, Szabolcs Ko´
acs, and Andr´
as L¨
orincz. Genetic algorithm with alphabet optimization.
Biological Cybernetics, 73(1):61–68, June 1995. ga95aToth.
[62] Kihong Park and Bob Carter. On the effectiveness of genetic search in combinatorial optimization. In
K. M. George, Janice H. Carroll, Ed Deaton, Dave Oppenheim, and Jim Hightower, editors, Proceedings
of the 10th ACM Symposium on Applied Computing, pages 329–336, Nashville, TN, ? 1995. ACM Press.
ga95bKPark.
[63] E. Aiyoshi, E. Ikesugi, and T. Wakutsu. Annealed types of the hysteresis machines for combinatorial
optimization and their genetic acquisition of the optimal annealing schedules. Transactions of the Society of Instrument and Control Engineers (Japan), 32(5):758–767, 1996. (In Japanese) †CCA69458/96
ga96bAiyoshi.
[64] Charles Fleurent and Jacques A. Ferland. Hybrid genetic algorithms for combinational optimisation.
RAIRO Rech. Oper. (France), 30(4):373–398, 1996. In French †CCA18513/97 ga96cFleurent.
[65] Tatiana Kalganova and Natalia Strechen. Genetic algorithm approach to find the best input variable partitioning. In Alander [1760], pages 245–254. (ftp://ftp.uwasa.fics/3NWGA/Kalganova.ps.Z)
ga97aKalganova.
[66] G´
abor Magyar, Mika Johnsson, and Olli Nevalainen. Genetic algorithm approach for the three-matching
problem. In Alander [1760], pages 109–122. (ftp://ftp.uwasa.fics/3NWGA/Magyar.ps.Z) ga97aMagyar.
[67] Akio Sakamoto, Xinghao Liu, and Takashi Shimamoto. A genetic approach for maximum independent set
problems. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science,
E80-A(3):551–556, March 1997. ga97aSakamoto.
[68] F. Hidrobo and J. Aguilar. Toward a parallel genetic algorithm approach based on collective intelligence
for combinatorial optimization problems. In Proceedings of the 1998 IEEE International Conference on
Evolutionary Computation, pages 715–720, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY.
†CCA74551/98 ga98aHidrobo.
Bibliography
49
[69] Jarmo T. Alander. Practical handbook of genetic algorithms. In Chambers [1761], chapter 13. Population
size, building blocks, fitness landscape and genetic algorithm search efficiency in combinatorial optimization: An empirical study, pages 459–485. ga99aAlander.
[70] P. Calegari, G. Coray, A. Hertz, D. Kobler, and P. Kuonen. A taxonomy of evolutionary algorithms in combinatorial optimization. J. Heuristics (Netherlands), 5(2):145–158, 1999. †CCA77288/99 ga99aCalegari.
[71] Wolfgang Banzhaf. Combinatorial optimization using genetic algorithms. In ?, editor, Proceedings of
the Spring Meeting of the Physics Society of Japan, pages 430–431, ?, ? 1990. ?
†Back/bib/unpub
ga:Banzhaf90b.
[72] David Orvosh and Lawrence Davis. Shall we repair? genetic algorithms, combinatorial optimization, and
feasibility constraints. In Forrest [1750], page 650. ga:Davis93c.
[73] Jin-Ling Lin. An analysis of genetic algorithm behavior for combinatorial optimization problems. PhD
thesis, The University of Oklahoma, 1993. * DAI Vol. 54 No. 9 ga:JLLinThesis.
[74] Heinz M¨
uhlenbein. Parallel genetic algorithms, population genetics and combinatorial optimization. In
Becker et al. [1756], pages 398–406. ga:Muhlenbein91g.
[75] Antoon Kolen and Erwin Pesch. Genetic based learning in combinatorial optimization. In P. Bock,
F. J. Radermacher, and M. M. Richter, editors, Proceedings of the FAW Workshop on Adaptive Learning,
pages 85–100, Schloß Reisensburg, G¨
unzburg (Germany), 16.-21. July 1989. Research Institute for Applied Knowledge Engineering (FAW), Ulm, Research Institute for Applied Knowledge Engineering (FAW).
†Back/bib/unp ga:Pesch89a.
[76] Colin R. Reeves, editor. Modern Heuristic Techniques for Combinatorial Problems. Blackwell Scientific
Publications, Oxford, 1993. ga:Reeves93book.
[77] Hans-Michael Voigt. Evolution und Optimierung: Ein populationsgenetischer Zugang zu kombinatorischen
Optimierungsproblemen. Dr. sc. techn., Academy of Sciences, Berlin, 1987. †Voigt ga:VoigtThesis.
[78] D. A. Koonce and S.-C. Tsai. Using data mining to find patterns in genetic algorithm solutions to a job
shop schedule. Computers & Industrial Engineering, 38(3):361–375, October 2000. * EBSCO 4012990
ga00aDAKoonce.
[79] J. G. Qi, G. R. Burns, and D. K. Harrison. The application of parallel multipopulation genetic algorithms
to dynamic job-shop scheduling. International Journal of Advanced Manufacturing Technology, 16(8):609–
615, ? 2000. * www /Springer ga00aJGQi.
[80] Jun Sakuma and Shigenobu Kobayashi. Extrapolation-directed crossover for job-shop scheduling problems:
complementary combination with JOX. pages 973–980, 2000. ga00aJSakuma.
[81] Kazuo Miyashita. Job-shop scheduling with genetic programming. pages 505–512, 2000. ga00aKMiyashita.
[82] Patrick Van Bael, Dirk Devogelaere, and Marcel Rijckaert. A steady-state evolutionary algorithm for the
job shop problem. pages 981–986, 2000. ga00aPVBael.
[83] S. G. Ponnambalam, P. Aravindan, and S. V. Rajesh. A tabu search algorithm for job shop scheduling.
International Journal of Advanced Manufacturing Technology, 16(10):765–771, ? 2000. * www /Springer
ga00aSGPonnambalam.
[84] S. Hajri, N. Liouane, S. Hammadi, and P. Borne. A controlled genetic algorithm by fuzzy logic and belief
functions for job-shop scheduling. IEEE Transactions on Systems, Man, and Cybernetics, 30(5):812–818,
October 2000. ga00aSHajri.
[85] Latif Al-Hakim. An analogue genetic algorithm for solving job shop scheduling problems. International
Journal of Production Research, 39(7):1537–1548, May 2001. ga01aLAl-Hakim.
[86] A. Khoukhi. Prototyped genetic search: a cybernetical approach to job-shop scheduling problems. Kybernetes, 31(1):96–114, 2002. * ISI ga02aAKhoukhi.
[87] David Calvely, John Dalton, Jon McGregory, and Pratyush Sen. A multi-criteria genetic algorithm approach to fuzzy job shop scheduling. pages 274–277, 2002. ga02aDCalveley.
[88] Dimitri Knjazew. OmeGA, A Competent Genetic Algorithm for Solving Permutation and Scheduling
Problems, volume 6 of Genetic Algorithms and Evolutionary Computation. Kluwer Academic Publishers,
Boston, MA, 2002. †www ga02aDKnjazew.
[89] L. Wang and D.-Z. Zheng. A modified genetic algorithm for job shop scheduling. International Journal of
Advanced Manufacturing Technology, 20(1):72–76, ? 2002. * www /Springer ga02aLWang.
[90] Mehmet E. Aydin and Terence C. Fogarty. Simulated annealing with evolutionary processes in job shop
scheduling. pages 269–273, 2002. ga02aMEAydin.
50
Genetic algorithms in operations research
[91] S. C. Esquivel, S. W. Ferrero, and R. H. Gallard. Parameter settings and representations in Pareto-based
optimization for job shop scheduling. Cybernetics and Systems, 33(6):559–578, September 2002. †ISI
ga02aSCEsquivel.
[92] S. G. Ponnambalam, N. Jawahar, and B. Senthil Kumar. Estimation of optimum genetic control parameters
for job shop scheduling. The International Journal of Advanced Manufacturing Technology, 19(3):223–234,
2002. ga02aSGPonnambalam.
[93] Yasunari Yoshitomi. A genetic algorithm approach to solving stochastic job-shop scheduling problems.
International Transactions in Operational Research, 9(4):479–495, July 2002. ga02aYasunariYoshitomi.
[94] Kai Song Goh, Andrew Lim, and Brian Rodrigues. Sexual selection for genetic algorithms. Artificial
Intelligence Review, 19(?):123–152, ? 2003. ga03aKaiSongGoh.
[95] Mark Moonen and Gerrit K. Janssens. A Giffler-Thompson focused genetic algorithm for the static jobshop scheduling problem. Research paper, Limburg University, Institute for Applied Economic Research,
2004. ga04aMMoonen ⇒ http://books.google.fi/books/about/A_Giffler_Thompson_Focused_Genetic_
Algor.html?id=0HLbGwAACAAJ&redir_esc=y.
[96] R. Tavakkoli-Moghaddam and M. Daneshmand-Mehr. A computer simulation model for job shop scheduling problems minimizing makespan. Computers & Industrial Engineering, 48(?):811–823, ? 2005.
ga05aRTavakkoli-Moghaddam.
[97] Mojtaba Salehi and Ardeshir Bahreininejad. Optimization process planning using hybrid genetic algorithm
and intelligent search for job shop machining. Journal of Intelligent Manufacturing, 22(4):643–652, August
2011. †PubMed ga11aMojtabaSalehi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21845020.
[98] Armando Rosas-Gonz´
alez, Dulce-Mar´ıa Clemente-Guerrero, Santiago-Omar Caballero-Morales, and JorgeCarmen Flores-Juan. An evolutionary approach for solving the N-jobs M-machines permutation flow-shop
scheduling problem with break-down times. International Journal of Computer Applications, 83(1):1–
6, December 2013. ga13aArmandoRosas-Gonzalez ⇒ http://www.ijcaonline.org/archives/volume83/
number1/14409-2488.
[99] Kim Jun Woo. A job shop scheduling game with GA-based evaluation. Applied Mathematics and Information Sciences, 8(5):2627–2634, 2014. ga14aKimJunWoo ⇒ http://www.naturalspublishing.com/files/
published/ri5wa38791349l.pdf.
[100] Takeshi Yamada. System for resolving job shop scheduling problem, 1993. (JP patent no. 5225203. Issued
September 3 1993) * fi.espacenet.com ga93aTYamada.
[101] Philip Husbands. Distributed coevolutionary genetic algorithms for multi-criteria and multi-constraint
optimization. In Terence C. Fogarty, editor, Proceedings of the AISB Workshop on Evolutionary Computation; Selected Papers, pages 150–165, Leeds (UK), 11.-13- April 1994. Springer-Verlag, Berlin. * CCA
11913/95 ga94aHusbands.
[102] Dirk C. Mattfeld, Herbert Kopfer, and Christian Bierwirth. Control of parallel population dynamics
by social-like behavior of GA-individuals. In Davidor et al. [1764], pages 16–25.
†CCA 36478/95
ga94aMattfeld.
[103] Sinchai Sittisathanchai, C. H. Dagli, and H. C. Lee. Genetic scheduler for job-shops. In Proceedings
of the Artificial Neural Networks in engineering Conference, volume 4, pages 351–356, St. Louis, MO,
13.-16. November 1994. ASME, New York. * CCA 61981/96 EI M057080/95 ga94bSittisathanchai.
[104] J. R. Z. Aizpuru and J. A. Usunariz. GA/TS: a hybrid approach for job shop scheduling in a production system. In ?, editor, Proceedings of the 7th Portuguense Conference on Artificial Intelligence EPIA’95, pages
153–164, Funchal (Portugal), 3.-6. October 1995. Springer-Verlag, Berlin. * CCA 16783/96 ga95aAizpuru.
[105] Lae-Jeoung Park and Cheol Hoon Park. Genetic algorithm for job shop scheduling problems based on two
representational schemes. Electronics Letters, 31(23):2051–2053, 9. November 1995. ga95aL-JPark.
[106] Lae-Jeong Park and Cheol Hoon Park. A genetic algorithm for job shop scheduling. In Proceedings of
the 1st Korea - Australia Joint Workshop on Evolutionary Computation, pages 217–227, Taejon (Korea),
26.-29. September 1995. The Korea Science Engineering Foundation, The Australian Academy of Science,
The Australian Academy of Technological Sciences and Engineering, KAIST, Korea. ga95aLJPark.
[107] Masatoshi Sakawa, Kosuke Kato, and T. Mori. Flexible scheduling through genetic algorithms. Jpn. J.
Fuzzy Theory Syst. (USA), 7(5):709–725, ? 1995. * CCA 70291/96 ga95aMSakawa.
[108] Nicoletta Sangalli, Quirico Semeraro, and Tullio Tolio. Performance of genetic algorithms in the solution
of permutation flowshop problems. In Pearson et al. [1753], pages 495–498. ga95aSangalli.
Bibliography
51
´
[109] Carlos Soares, Agoston
E. Eiben, and Joost N. Kok. Comparison of two representations for the simple and
the enhanced job-shop scheduling problem. In Alander [1766], pages 173–188. (ftp://ftp.uwasa.fics/
1NWGA/Soares.ps.Z) ga95aSoares.
[110] Yasuhiro Tsujimura, Mitsuo Gen, and Erika Kubota. Solving job-shop scheduling problem with fuzzy
processing time using genetic algorithm. Jpn. J. Fuzzy Theory Syst. (USA), 7(5):695–707, ? 1995. * CCA
70290/96 ga95aTsujimura.
[111] Takeshi Yamada and Ryohei Nakano. A genetic algorithm with multi-step crossover for job-shop scheduling
problems. In IEE/IEEE Sheffield ’95 [1767], pages 146–151. †conf.prog ga95aYamada.
[112] Christian Bierwirth. A generalized permutation approach to job shop scheduling with genetic algorithms.
OR Spektrum, 17(2-3):87–92, 1995. †CCA88355/95 ga95bBierwirth.
[113] Zhang Changshui, Yan Pingfan, and Shen Gang. A genetic algorithm for solving job-shop scheduling
problem. Acta Electronica Sinica, 23(7):1–5, 1995. †CCA78743/95 ga95bChangshui.
[114] J. W. Herrmann, Chung-Yee Lee, and J. Hinchman. Global job shop scheduling with a genetic algorithm.
Prod. Oper. Manage. (USA), 4(1):30–45, 1995. †CCA1928/95 ga95bHerrmann.
[115] H. Hirano. Genetic algorithms with cluster averaging method for solving job-shop sceduling problems. J.
Jpn. Soc. Artif. Intell. (Japan), 10(5):769–777, 1995. †CCA1876/95 ga95bHirano.
[116] Jianzhong Mao and Zhiming Wu. Genetic algorithm and the application for job-shop group scheduling. In
S. Z. Yang, J. Zhou, and C. G. Li, editors, Proceedings of the 1995 International Conference on Intelligent
Manufacturing, volume SPIE-2620, pages 103–108, Wuhan, China, 10. June 1995. Society of Photo-Optical
Instrumentation Engineers, Bellingham, WA. †EI M069516/96 ga95bJMao.
[117] Mao Jianzhong and Zhiming Wu. Genetic algorithm and the application for job-shop group scheduling. In Proceedings of the International Conference on Intelligent Manufacturing, volume 2620, pages
103–108, Wuhan (China), 14.-17. June 1995. SPIE – The International Society for Optical Engineering.
†CCA14848/95 ga95bJianzhon.
[118] C. Thomalla and O. Eschbach. Job shop sceduling with a genetic algorithm. Automatisierungstechnik,
43(3):136–141, 1995. (In German) †CCA53117/95 ga95bThomalla.
[119] Lae-Jeong Park and Cheol Hoon Park. Application of genetic algorithm to job shop scheduling problems
with active schedule constructive crossover. In Proceedings of the IEEE International Conference on
Systems, Man and Cybernetics, volume 1, pages 530–535, Vancouver, BC (Canada), 22.-25. October 1995.
IEEE, New York, NY. †CCA1840/95 ga95cL-JPark.
[120] Simon Ronald. Practical handbook of genetic algorithms. In Chambers [1759], chapter 11. Routing and
scheduling problems, pages 367–430. ga95eRonald.
[121] B. J. Cho, S. C. Hong, and S. Okoma. Job shop scheduling using genetic algorithm. In J. K. Lee,
J. Liebowitz, and Y. M. Chae, editors, Critical Technology: Proceedings of the Third World Congress on
Expert Systems, volume 1, pages 351–358, Seoul (South Korea), 5.-9. February 1996. Cognizant Communication Corp., Elmsford. †P69301 ga96aBJCho.
[122] Christian Bierwirth, Dirk C. Mattfeld, and Herbert Kopfer. On permutation representations for scheduling
problems. In Voigt et al. [1768], pages 310–318. ga96aBierwirth.
[123] Jacek Bl˙zewicz, Wolfgang Domschke, and Erwin Pesch. The job shop scheduling problem: Conventional
and new solution techniques. European Journal of Operational Research, 93(1):1–33, 23. August 1996.
ga96aBlazewicz.
[124] D. Duvivier, Philippe Preux, and El-Ghazali Talbi. Genetic algorithms applied to the job-shop scheduling problem. In Proceedings of the Workshop on Production Planning and Control, pages 28–31, Mons
(Belgium), 9.-11. September 1996. FUCaM, Mons (Belgium). ga96aDuvivier.
[125] Hsiao-Lan Fang, David W. Corne, and Peter Ross. A genetic algorithm for job-shop problems with various
schedule quality criteria. In Fogarty? [1769], pages 57–65. ga96aFang.
[126] Guoyong Shi, Hitoshi Iima, and Nobuo Sannomiya. A new encoding scheme for solving job shop problems
by genetic algorithm. In Proceedings of the 35th IEEE Conference on Decision and Control, volume 4,
pages 4395–4400, Kobe, Japan, 11.-13. December 1996. IEEE, New York, NY. †CCA35235/97 ga96aGShi.
[127] Tomokazu Gohtoh, Kazuhiro Ohkura, and Kanji Ueda. An application of genetic algorithm with neutral
mutations to job shop scheduling problems. In Proceedings of the International Conference on Advances in
Production Management Systems - APMS’96, pages 563–568, Kyoto (Japan), 4.-6. November 1996. IFIP.
†CCA35361/97 ga96aGohtoh.
52
Genetic algorithms in operations research
[128] Chiaki Kuroda and Kohei Ogawa. A neural network optimized by a genetic algorithm and its application
to job-shop scheduling. In ?, editor, Proceedings of the International Conference EANN’96, pages 471–474,
?, ? 1997. ? †[164] ga96aKuroda.
[129] Brian Lindoe. Job shop scheduling in the Odense Steel Shipyard. EvoNews, 1(2):6–7, December 1996.
ga96aLindoe.
[130] Dirk C. Mattfeld. Evolutionary Search and the Job Shop. Physica-Verlag, c/o Springer-Verlag, Berlin,
1996. †publisher ga96aMattfeld.
[131] K. Mesghouni, S. Hammadi, and P. Borne. Production job-shop scheduling using genetic algorithms. In
Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics, volume 4, pages
1519–1524, Beijing, China, 14.-17. October 1996. IEEE, Piscataway, NJ. †EI M036395/97 ga96aMesghoun.
[132] N. S. Hemant Kumar and G. Srinivasan. A genetic algorithm for job shop scheduling-a case study. Comput.
Ind. (Netherlands), 31(2):155–160, 1996. †CCA6694/97 ga96aNSHKumar.
[133] H. Nagumo and Y. Iida. A study on job shop scheduling using genetic algorithms. Tech. Rep. Seikei Univ.
(Japan), 33(1-2):1–6, 1996. †CCA31552/97 ga96aNagumo.
[134] Gerhard Niemeye and Patricia Shiroma. Production scheduling with genetic algorithms and simulation.
In Voigt et al. [1768], pages 930–939. ga96aNiemeye.
[135] Runwei Cheng, Mitsuo Gen, and Yasuhiro Tsujimura. A tutorial survey of job-shop scheduling problems
using genetic algorithms 1. representations. Computers & Industrial Engineering, 30(4):983–998, ? 1996.
(Proceedings of the 16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan),
7.-9. Mar. 1994) †P69502 www/ScienceDirect ga96aRWCheng.
[136] Thomas Stidsen, Lars V. Kragelund, and Oana Mateescu. Jobshop scheduling in a shipyard. In
W. Wahlster, editor, Proceedings of the 12th European Conference on Artificial Intelligence (ECAI 96),
pages 1–5, ?, ? 1996. John Wiley & Sons, Ltd. ga96aStidsen.
[137] Takeshi Yamada. Method and device for scheduling job shop, 1996. (JP patent no. 8315028. Issued
November 29 1996) * fi.espacenet.com ga96aTYamada.
[138] Terry Warwick and Edward P. K. Tsang. Tackling car sequencing problems using a generic genetic algorithm. Evolutionary Computation, 3(3):267–298, ? 1996. ga96aTerryWarwick.
[139] J. M. Usher and Royce O. Bowden. The application of genetic algorithms to operation sequencing for
use in computer-aided process planning. Computers & Industrial Engineering, 30(4):999–1014, ? 1996.
(Proceedings of the 16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan),
7.-9. Mar. 1994) †P69502 ga96aUsher.
[140] Wu Ying and Li Bin. Job-shop scheduling using genetic algorithm. In Proceedings of the 1996 IEEE
International Conference On Systems, Man and Cybernetics, volume 3, pages 1994–1999, Beijing (China),
14.-17. October 1996. IEEE, New York, NY. †CCA 19632/97 ga96aWuYing.
[141] X. Wu and B. Li. Job-shop scheduling using genetic algorithm. In B. Z. Yuan and X. F. Tang, editors,
Proceedings of the 3rd International Conference on Signal Processing (ICSP96), volume 1, pages 1441–1444,
Beijing (China), 14.-18. October 1996. IEEE, New York. †P74140/97 ga96aXWu.
[142] Takeshi Yamada and Ryohei Nakano. Scheduling by genetic local search with multi-step crossover. In
Voigt et al. [1768], pages 960–969. ga96aYamada.
[143] Kevin Caskey and Richard Lee Storch. Heterogeneous dispatching rules in job and flow shops. Prod.
Plann. Control, 7(4):351–361, 1996. †EI M115172/96 ga96bCaskey.
[144] H. A. J. Crauwels, C. N. Potts, and L. N. Van Wassenhove. Local search heuristics for single-machine
scheduling with batching to minimize the number of late jobs. European Journal of Operational Research,
90(2):200–213, 19. April 1996. ga96bCrauwels.
[145] Hsiao-Lan Fang, David W. Corne, and Peter Ross. A genetic algorithm for job-shop problems with various
schedule quality criteria. In ?, editor, Proceedings of the Evolutionary Computing, volume ?, pages 39–49,
Brighton, UK, 1.-2. April 1996. Springer-Verlag, Berlin (Germany). †CCA101652/96 ga96bH-LFang.
[146] Jianzhong Mao and Zhiming Wu. Genetic algorithm and the application for job-shop group scheduling.
High Technology Letters (Engl. lang. ed.) (China), 2(1):30–33, 1996. * EI M159150/96 ga96bJMao.
[147] Mao Jianzhong and Wu Zhiming. Genetic algorithm and the application for job-shop group scheduling.
High Technology Letters (Engl. lang. ed.) (China), 2(1):30–33, 1996. * CCA87568/96 ga96bJianzhong.
[148] Wu Ying and Li Bin. Job-shop scheduling using genetic algorithm. In Proceedings of the 3rd International
Conference on Signal Processing, volume 2, pages 1441–1444, Beijing (China), 14.-18. October 1996. IEEE,
New York, NY. †CCA77912/97 ga96bWuYing.
Bibliography
53
[149] Kazuhiro Ohkura, Tomokazu Gohtoh, and Kanji Ueda. Designing genetic algorithm with neutral mutations
to jobshop scheduling problems. In ?, editor, Proceedings of the Adaptive Distributed Parallel Computing
Symposium, pages 13–23, ?, ? 1996. ? †Ueda lop ga96cKazuhiroOhkura.
[150] M. F. Sebaaly and H. Fujimoto. Integrated planning and scheduling for multi-product job-shop assembly
based on genetic algorithms. In Proceedings of the International Conference on Advances in Production
Management Systems - APMS’96, pages 557–562, Kyoto (Japan), 4.-6. November 1996. Kyota Univ.
(Kyota, Japan). †CCA35360/97 ga96cSebaaly.
[151] Ibrahim Al-Harkan. On Merging Sequencing and Scheduling Theory with Genetic Algorithms to Solve
Stochastic Job Shops. PhD thesis, University of Oklahoma, School of Industrial Engineering, 1997. * GA
digest V. 11 N. 13 /Al-Harkan ga97aAl-Harkan.
[152] Bryan Norman and James C. Bean. Random keys genetic algorithm for job shop scheduling. Engineering
Design and Automation, 3(?):145–156, ? 1997. †Altavista/Bean ga97aBNorman.
[153] Chae Y. Lee, S. Piramuthu, and Y.-K. Tsai. Job shop scheduling with a genetic algorithm and machine
learning. Int. J. Prod. Res. (UK), 35(4):1171–1191, 1997. †CCA35257/97 ga97aCLee.
[154] M. A. B. Candido, S. K. Khator, R. M. Barcia, and F. O. Gauthier. A hybrid approach to solve real
make-to-order job shop scheduling problems. In Proceedings of the 6th Industrial Engineering Research
Conference, pages 204–209, Miami Beach, FL, 17.-18. May 1997. Inst. Ind. Eng., Norcross, GA, USA.
†CCA71541/97 ga97aCandido.
[155] F. Zhang, Y. F. Zhang, and A. Y. C. Nee. Using genetic algorithms in process planning for job shop machining. IEEE Transactions on Evolutionary Computation, 1(4):278–289, 1997. †CCA72370/98 ga97aFZhang.
[156] Fang Jian and Xi Yugeng. A genetic-based algorithm for static job shop scheduling. J. Shanghai Jiaotong
Univ. (China), 31(3):49–52, 1997. In Chinese †CCA80150/97 ga97aFangJian.
[157] M. P. Fanti, B. Maione, D. Naso, and B. Turchiano. A genetic multi-criteria approach to job shop scheduling. In Proceedings of the First International Workshop on Approximate Reasoning in Scheduling, pages
46–52, Zurich, Switzerland, 11. February 1997. ICSC Academic Press, Zurich, Switzerland. †CCA54423/97
ga97aFanti.
[158] Gudyong Shi. Genetic algorithm applied to a classic job-shop scheduling problem. International Journal
of Systems Science, 28(1):25–32, 1997. †EI M082681/97 ga97aGShi.
[159] Guoyong Shi, Hitoshi Iima, and Nobuo Sannomiya. Comparison of two genetic algorithms in solving
tough job shop scheduling problems. Trans. Inst. Electr. Eng. Jpn. C (Japan), 117-C(7):856–864, 1997.
In English †CCA80127/97 ga97aGuoyoShi.
[160] H. C. Lee and C. H. Dagli. A parallel genetic-neuro scheduler for job-shop scheduling problems. Int. J.
Prod. Econ. (Netherlands), 51(1-2):115–122, 1997. †CCA97794/97 ga97aHCLee.
[161] H. Cao, B. J. Yang, Y. P. Luo, S. X. Yang, and Y. Peng. A practical approach for job-shop scheduling
problems using genetic algorithm. In Proceedings of the 1997 IEEE International Conference on Intelligent
Processing Systems, volume 1-2, pages 543–547, Beijing (China), 28.-31. October 1997. IEEE, New York,
NY. †P80107 ga97aHCao.
[162] I. Ono, H. Satoh, and Y. Kobayashi. A genetic algorithms based on sub-sequence exchange crossover and
GT method for job-shop scheduling. Trans. Inst. Electr. Eng. Jpn. C (Japan), 117-C(7):888–895, 1997. In
Japanese †CCA80128/97 ga97aIOno.
[163] K. Mesghouni, S. Hammadi, and P. Borne. Evolution programs for job-shop scheduling. In Evolution
programs for Job-shop scheduling, volume 1, pages 720–725, Orlando, FL, 12.-15. October 1997. IEEE,
New York, NY. †CCA100182/97 ga97aKMesghouni.
[164] Chiaki Kuroda, Fumiyoshi Goto, and Kohei Ogawa. Optimizing ANN by GA with simulated annealing-like
mutation as applied to job-shop scheduling. In A. B. Bulsari and S. Kallio, editors, Proceedings of the
1997 International Conference on Engineering Applications of Neural Networks, pages 317–320, Stockholm
(Sweden), 16.-18. June 1997. Systeemitekniikan seura ry, Turku (Finland). ga97aKuroda.
[165] Kyung-Mi Lee, T. Yamakawa, E. Uchino, and Keon-Myung Lee. A genetic algorithm approach to job shop
scheduling. In Proceedings of the 1997 International Conference on Neural Information Processing and
Intelligent Information Systems, volume 2, pages 1030–1033, Dunedin (New Zealand), 24.-28. November
1997. Springer-Verlag, Singapore. †CCA67139/98 ga97aKyung-MiLee.
[166] Li Nan. Solution for job shop scheduling by genetic algorithms. Journal of Nanjing University of Aeronautics & Astronautics, 29(3):332–335, 1997. In Chinese †CCA100152/97 ga97aLiNan.
54
Genetic algorithms in operations research
[167] M. Sakawa and T. Mori. Job shop scheduling with fuzzy duedate and fuzzy processing time through genetic
algorithms. Jpn. J. Fuzzy Theory Syst. (USA), 9(2):185–196, 1997. †CCA5106/98 ga97aMSakawa.
[168] F. Maturana, A. Naumann, and D. H. Norrie. Object-oriented job-shop scheduling using genetic algorithms.
Comput. Ind. (Netherlands), 32(3):281–294, 1997. †CCA67726/97 ga97aMaturana.
[169] K. Mesghouni, P. Pesin, S. Hammadi, C. Tahon, and P. Borne. Genetic algorithms - constraint logic
programming - hybrid method for shop scheduling. In L. M. Camarinhamatos, editor, Proceedings of
the Re-Engineering for Sustainable Industrial Production, pages 151–162, Lisbon (Portugal), May 1997.
Chapman & Hall, London. †P75711 ga97aMesghouni.
[170] Shyh-Chang Lin. Genetic Algorithm-Based Scheduling System for Dynamic Job-Shop Scheduling Problems.
PhD thesis, Michigan State University, 1997. * www ga97aShyh-ChangLin.
[171] T. Yamada and R. Nakano. Job-shop scheduling by genetic local search. Trans. Inf. Process. Soc. Jpn.
(Japan), 38(6):1126–1138, 1997. In Japanese †CCA80130/97 ga97aTYamada.
[172] Z. M. Wu and C. W. Zhao. A genetic algorithm for job-shop scheduling in real-time. In Proceedings of the
1997 American Control Conference, volume 1, pages 162–163, Albuquerque, NM, 4.-6. June 1997. IEEE,
New York, NY. †P76539 ga97aZMWu.
[173] Mitsuo Gen and Runwei Cheng. Genetic Algorithms & Engineering Design. Engineering Design and
Automation. John Wiley & Sons, New York, 1997. ga97bMGen.
[174] S.-C. Lin, Erik D. Goodman, and William F. Punch, III. Investigating parallel genetic algorithms on
job shop scheduling problems. In Proceedings of the 6th International Conference, Evolutionary Programming VI, pages 383–393, Indianapolis, IN, 13.-16. April 1997. Springer-Verlag, Berlin (Germany).
†CCA71461/97 ga97bS-CLin.
[175] T. Yamada and R. Nakano. Genetic algorithms for job-shop scheduling problems. In Proceedings of
the Modern Heuristics for Decision Support, pages 67–81, London (UK), 18.-19. March 1997. UNICOM
Seminars, Uxbridge (UK). †CCA87084/99 ga97bTYamada.
[176] Masatoshi Sakawa and T. Mori. Job shop scheduling through genetic algorithms incorporating similarity
concepts. Transactions of the Institute of Electronics, Information, and Communication Eng A (Japan),
J80-A(6):960–968, 1997. In Japanese †CCA71412/97 ga97dSakawa.
[177] A. Aoki, Hitoshi Iima, Nobuo Sannomiya, and Y. Kobayashi. Application of genetic algorithm to a job
shop problem with a multifunction machine. Trans. Soc. Instrum. Control Eng. (Japan), 34(3):263–269,
1998. In Japanese †CCA51669/98 ga98aAAoki.
[178] Haldun Aytug. Genetic learning through simulation: An investigation in shopfloor scheduling. Annals of
Operations Research, 78(?):1–29, ? 1998. †toc ga98aAytug.
[179] B. M. Ombuki, M. Nakamura, and K. Onaga. An evolutionary scheduling scheme based on gk GA approach
to the job shop scheduling problem. IEICE Transactions on Fundamentals of Electronics, Communications
and Computer Science, E81-A(6):1063–1071, 1998. †CCA58905/98 ga98aBMOmbuki.
[180] C. R. Reeves and T. Yamada. Genetic algorithms, path relinking, and the flowshop sequencing problem.
Evolutionary Computation, 6(1):45–60, 1998. †CCA78407/99 ga98aCRReeves.
[181] Thierry Galinho, Alain Cardon, and Jean-Philippe Vacher. Genetic integration in a multiagent system
for job-shop scheduling. In Proceedings of the 6th Progress in Artificial Intelligence, pages 76–87, Lisbon
(Portugal), 5.-9. October 1998. Springer-Verlag, Berlin (Germany). †CCA54054/99 ga98aGalinho.
[182] M. F. Hussain and S. B. Joshi. A genetic algorithm for job-shop scheduling problems with alternative
routing. In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics,
pages 2225–2230, San Diego, CA, 11.-14. October 1998. IEEE New York, NY. †P82602 ga98aHussain.
[183] Kazuhiro Ohkura and Kanji Ueda. Operon-GA based approach to solving job-shop scheduling problems.
In ?, editor, Proceedings of the Workshop on the Methodology on Emergent Synthesis - WMES’98, pages
61–68, Kobe (Japan), ? 1998. ? †Ueda lop ga98aKazuhiroOhkura.
[184] M. A. B. Candido, S. K. Khator, and R. M. Barcia. A genetic algorithm based procedure for more realistic
job shop scheduling problems. International Journal of Production Research, 36(12):3437–3457, December
1998. ga98aMABCandido.
[185] K. Mesghouni, S. Hammadi, and P. Borne. On modeling genetic algorithms for flexible job-shop scheduling
problems. Stud. Inf. Control (Romania), 7(1):37–47, 1998. †CCA58779/98 ga98aMesghouni.
Bibliography
55
[186] W. L. Yao, D. L. Yang, and X. P. Hu. Genetic algorithms in job-shop scheduling to minimize earliness
penalties. In Proceedings of the International Conference on Management Science & Engineering, pages
303–309, Moscow, Russia, 20.-24. October 1998. Harbin Institute Technology Publishers, Harbin. †P84657
ga98aWLYao.
[187] Emma Hart and Peter Ross. A heuristic combination method for solving job-shop scheduling problems.
In Agoston E. Eiben, Thomas B¨
ack, Marc Schoenauer, and Hans-Paul Schwefel, editors, Parallel Problem
Solving from Nature - PPSN V, 5th International Conference, volume LNCS of 1498, pages 845–854,
Amsterdam (The Netherlands), September 1998. Springer-Verlag Berlin Heidelberg. * www /Springer
ga98cEHart.
[188] B. Patkai and S. Torvinen. Job-shop scheduling with a combination of evolutionary and heuristic methods.
In Proceedings of the Intelligent Systems in Design and Manufacturing II, volume SPIE-3833, Boston, MA,
21.-22. September 1999. SPIE. † ga99aBPatkai.
[189] F. Ghedjati. Genetic algorithms for the job-shop scheduling problem with unrelated parallel constraints:
heuristic mixing method machines and precedence. Comput. Ind. Eng. (UK), 37(1-2):39–42, 1999.
†CCA69335/99 ga99aGhedjati.
[190] H. Chen, J. Ihlow, and C. Lehmann. A genetic algorithm for flexible job-shop scheduling. In Proceedings of
the 1999 IEEE International Conference on Robotics and Automation, volume 2, pages 1120–1125, Detroit,
MI (USA), 10.-15. May 1999. IEEE, Piscataway, NJ. †CCA1999 ga99aHChen.
[191] P. Van Bael, D. Devogelaere, and M. Rijckaert. A hybrid evolutionary search scheduling algorithm
to solve the job shop scheduling problem. In Proceedings of the 1999 Congress on Evolutionary
Computation-CEC99, volume 2, pages 1104–1109, Washington, DC, 6.-9. July 1999. IEEE, Piscataway,
NJ. †CCA78453/99 ga99aPVanBael.
[192] Runwei Cheng, Mitsuo Gen, and Y. Tsujimura. A tutorial survey of job-shop scheduling problems using
genetic algorithms. II. Hybrid genetic search strategies. Comput. Ind. Eng. (UK), 36(2):343–364, 1999.
†CCA78463/99 ga99aRunweiCheng.
[193] M. Tjornfelt-Jensen and T. K. Hansen. Robust solutions to job shop problems. In Proceedings of the 1999
Congress on Evolutionary Computation-CEC99, volume 2, pages 1138–1144, Washington, DC, 6.-9. July
1999. IEEE, Piscataway, NJ. †CCA78456/99 ga99aTjornfel.
[194] Y. Song and J. G. Hughes. A genetic algorithm with a machine order-based representation scheme for a
class of job shop scheduling problem. In Proceedings of the 1999 American Control Conference, volume 2,
pages 895–899, San Diego, CA, 2.-4. June 1999. IEEE, Piscataway, NJ. †CCA87089/99 ga99aYSong.
[195] M. Sakawa and T. Mori. An efficient genetic algorithm for job-shop scheduling problems with fuzzy
processing time and fuzzy duedate. Comput. Ind. Eng. (UK), 36(2):325–341, 1999. †CCA78462/99
ga99bMSakawa.
[196] Laurent Atlan, J´erˆ
ome Bonnet, and Martine Naillon. Learning distributed reactive strategies by genetic
programming for the general job shop problem. In ?, editor, Proceedings of the Seventh Annual Florida
Artificial Intelligence Research Symposium, page ?, Pensacola, FL, ? 1993. IEEE, New York. (ftp:
//ftp.ens.fr/pub/reports/biologie/disgajsp.ps.Z) ga:Atlan93b.
[197] Serdar Uckun, Sugato Bagchi, Kazuhiko Kawamura, and Yutaka Miyabe. Managing genetic search in job
shop scheduling. IEEE Expert, 8(5):15–24, October 1993. ga:Bagchi93a.
[198] M. R. Hilliard, Gunar E. Liepins, and Mark R. Palmer. Machine learning applications to job shop scheduling. In M. Ali, editor, Proceedings: The First International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE-88), pages 728–737, University of Tennessee,
Space Institute, Tullahoma, TN, 1.-3. June 1988. ACM, New York. † ga:Liepins88b.
[199] Yoshikazu Nishikawa and Hisashi Tamaki. A genetic algorithm as applied to the jobshop scheduling.
Transactions of the Society of Instrument and Control Engineers (Japan), 27(5):593–599, May 1991. (in
Japanese) * IAOR 49931/92 ga:Tamaki91b.
[200] Kojima Morikawa, Takeshi Furuhashi, and Yoshiki Uchikawa. Single populated genetic algorithm and
its application to jobshop scheduling. In Proceedings of the 1992 International Conference on Industrial
Electronics, Control, and Instrumentation, volume 2, pages 1014–1018, San Diego, 9.-13. November 1992.
IEEE Press. ga:Uchikawa92a.
[201] Beatrice Ombuki and Mario Ventresca. Local search genetic algorithms for the job shop scheduling problem. Applied Intelligence, 21(1):99–109, July-August 2004. †ACM ga04aBOmbuki ⇒ http:
//www.springerlink.com/content/j03q874118843473/fulltext.pdf.
56
Genetic algorithms in operations research
[202] James John Davern. An architechture for job shop scheduling with genetic algorithms. PhD thesis, University of Central Florida, 1994. * DAI Vol. 55 No. 4 ga94aDavern.
[203] Martin Eblenkamp. A genetic algorithm for improved tool supply. In EUFIT’94 [1763], pages 182–185.
ga94aEblenkamp.
[204] Gyoung H. Kim and C. S. George Lee. An evolutionary approach to the job-shop scheduling problem.
In Proceedings of the 1994 IEEE International Conference on Robotics and Automation, volume 1, pages
501–506, San Diego, CA, 8.-13. May 1994. IEEE Computer Society Press, Los Alamitos, CA. ga94aGHKim.
[205] Mitsuo Gen, Yasuhiro Tsujimura, and Erika Kubota. Solving job-shop scheduling problem with fuzzy
processing time using genetic algorithm. In EUFIT’94 [1763], page 1363. ga94aGen.
[206] Leon V. Jorge, Wu S. David, and Robert H. Storer. Robustness measures and robust scheduling for job
shops. IIE Transactions, 26(5):32–43, September 1994. * EI M030938/95 ga94aJorge.
[207] Sinchai Sittisathanchai. Genetic-neuro scheduler. PhD thesis, University of Missouri - Rolla, 1994. * DAI
Vol. 55 No. 2 ga94aSittisathanchai.
[208] Carlos Soares. Evolution computation for the job-shop scheduling problem. Report UU-CS-1994-52,
Utrecht University, Department of Computer Science, 1994. †ga95aSoares = [109]
ga94aSoares.
[209] J. Sridhar and C. Rajendran. A genetic algorithm for family and job scheduling in a flowline-based
manufacturing cell. Computers & Industrial Engineering, 27(1-4):469–472, September 1994. (Proceedings
of the 16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar.)
* CCA 12778/95 ga94aSridhar.
[210] X. Cai and Lee Ka-Wai. A genetic algorithm for flow shop scheduling with travel times between machines.
In EUFIT’94 [1763], pages 186–188. ga94aXCai.
[211] Mitsuo Gen, Yasuhiro Tsujimura, and Erika Kubota. Solving job-shop scheduling problem with fuzzy
processing time using genetic algorithm. In EUFIT’94 [1763], pages 1540–1547. ga94bGen.
[212] Mitsuo Gen, Yasuhiro Tsujimura, and Erika Kubota. Solving job-shop scheduling problem using genetic
algorithm. Computers & Industrial Engineering, 27(1-4):576–579, September 1994. (Proceedings of the
16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar.) †[211]
ga94cGen.
[213] Zhang Changshui and Yan Pingfan. A genetic algorithm of solving job-shop scheduling problem. Chin. J.
Electron. (China), 4(1):48–52, January 1995. * CCA 12831/95 ga95aChangshui.
[214] B. Fulkerson and V. Parunak. The living factory: applications of artificial life to manufacturing. In
Proceedings of the Second International Symposium on Autonomous decentralized Systems (ISADS95),
pages 391–397, Phoenix, AZ, 25.-27. April 1995. IEEE CS Press, Los Alamitos, CA. * CCA 49547/95
ga95aFulkerson.
[215] Shigenobu Kobayashi, Isao Ono, and Masayuki Yamamura. An efficient genetic algorithm for job shop
scheduling problems. In Eshelman [1765], page ? †prog ga95aKobayashi.
[216] Chen En-Hong, Liu Gui-Quan, and Cai Qing-Sheng. A genetic algorithm based job-shop scheduling problem solving method. J. Softw. (China), 9(2):139–143, 1998. (In Chinese) †CCA40211/98 ga98aEn-Hong.
[217] Takeshi Yamada and Ryohei Nakano. A genetic algorithm applicable to large-scale job-shop problems. In
M¨
anner and Manderick [1762], pages 281–290. ga:Nakano92a.
[218] X. Wu and M. W. M. G. Dissanayake. An approach for supervised job-shop scheduling using genetic
algorithms. In ?, editor, ANZIIS-93 Proceedings of the Inaugural Australian and New Zealand Conference
on Intelligent Information Systems, page ?, Perth (Australia), 1.-3. December 1993. ? (to appear) †prog
ga:XWu93a.
[219] Yejin Zhou. Genetic algorithm with qualitative knowledge enchancement for layout design under continuous
space formulation. PhD thesis, University of Illinois at Chicago, 1993. * DAI 54/12 ga:YZhouThesis.
[220] Jens Levenhagen, Andreas Bortfeldt, and Hermann Gehring. Path tracing in genetic algorithms applied to
the multiconstrained knapsack problem. In Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E.
Smith, Stefano Cagnoni, Emma Hart, G¨
unther R. Raidl, and Harald Tijink, editors, Applications of
Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM,
volume LNCS of 2037, pages 40–49, Como (Italy), 18.-20. April 2001. Springer-Verlag Berlin Heidelberg.
* www /Springer ga01aJLevenhagen.
Bibliography
57
[221] J. Schwarz and J. Oˇcenaˇsek. Pareto Bayesian optimization algorithm for the multiobjective 0/1 knapsack
problem. In Matouˇsek Radek and Oˇsmera Pavel, editors, 7th International Conference on Soft Computing,
Mendel 2001, pages 131–136, Brno, Czech Republic, 6.- 8.June 2001. Brno University of Technology.
ga01aJSchwarz.
[222] Kuk-Hyun Han and Jong-Hwan Kim. Quantum-inspired evolutionary algorithm for a class of combinatorial optimization. IEEE Transactions on Evolutionary Computation, 6(6):580–593, December 2002.
ga02aKuk-HyunHan.
[223] Robert Hinterding. Mapping, order-independent genes and the knapsack problem. In ICEC’94 [1770],
pages 13–17. ga94aHinterding.
[224] Sami Khuri, Thomas B¨
ack, and J¨
org Heitk¨
otter. The zero/one multiple knapsack problem and genetic
algorithms. In E. Seaton, D. Oppenheim, J. Urban, and H. Berghel, editors, Proceedings of the ACM
Symposium on Applied Computing (SAC’94), pages 188–193, Phoenix, AZ, ? 1994. ACM, New York.
(http://www-cgi.cs.cmu.edu/afs/cs.cmu.edu/projet/ai-repository) †News/Joines ga94aKhuri.
[225] Anne L. Olsen.
ga94aOlsen.
Penalty functions and the knapsack problem.
In ICEC’94 [1770], pages 554–558.
[226] J. Thiel and S. Voss. Some experiences on solving multiconstraint zero-one knapsack problems with genetic
algorithms. INFOR, 32(4):226–242, 1994. †CCA 11888/95 ga94aThiel.
[227] Zbigniew Michalewicz and J. Arabas. Genetic algorithms for the 0/1 knapsack problem. In ?, editor, Proceedings of the 8th International Conference on Methodologies for Intelligent Systems (ISMIS’94), pages 134–143, Charlotte, NC, 16.-19. October 1994. Springer-Verlag, Berlin. * CCA 44112/95
ga94fMichalewicz.
[228] Giuseppe Bruno and Antonio d’ Acierno. The multi-algorithm approach to optimization problems. In
Bob Hertzberger and Guiseppe Serazzi, editors, Proceedings of the International Conference on HighPerformance Computing and Networking, pages 729–734, Milan (Italy), 3.-5. May 1995. Springer-Verlag.
ga95aBruno.
[229] R. Spillman. Solving large knapsack problems with a genetic algorithm. In Proceedings of the 1995 IEEE
International Conference on Systems, Man and Cybernetics, volume 1, pages 632–637, Vancouver, BC
(Canada), 22.-25. October 1995. IEEE, New York, NY. †CCA1726/95 ga95bSpillman.
[230] Naoki Mori, Hajime Kita, and Yoshikazu Nishikawa. Adaption to a changing environment by means of
the thermodynamical genetic algorithm. In Voigt et al. [1768], pages 513–522. ga96aMori.
[231] Carlos Cotta and Jos´e M. Troya. A hybrid genetic algorithm for the 0-1 multiple knapsack problem. In
George D. Smith and Nigel C. Steele, editors, Proceedings of the International Conference on Artificial
Neural Networks and Genetic Algorithms, pages 250–254, Norwich, UK, 2.-4. April 1997. Springer-Verlag,
Berlin. ga97aCarlosCotta.
[232] J. Kolodziejczyk, J. Miller, and P. Phillips. The application of genetic algorithm in cryptoanalysis of
knapsack cipher. In Proceedings of Fourth International Conference Pattern Recognition and Information
Processing, volume 1, pages 394–401, Minsk (Belarus), 20.-22. May 1997. Wydawnictwo Uczelnian Politech.
Szczecinskiej, Szczecin, Poland. †EEA86318/97 ga97aKolodzie.
[233] Masatoshi Sakawa and Toshihiro Shibano. Fuzzy evolutionary computation. chapter 2.4 Multiobjective
fuzzy satisficing methods for 0-1 knapsack problems through genetic algorithms, pages 156–177. Kluwer
Academic Publishers, New York, 1997. ga97aSakawa.
[234] I. F. T. Yaseen and H. V. Sahasrabuddhe. Breaking multiplicative knapsack ciphers using a genetic
algorithm. In Proceedings of the International Conference on Knowledge Based Computer Systems, pages
129–139, Mumbai, India, 17.-18. December 1998. Nat. Centre for Software Technology, Mumbai (India).
†CCA53764/99 ga98aIFYaseen.
[235] N. Kubota and Toshio Fukuda. Schema representation in virus-evolutionary genetic algorithm for knapsack
problem. In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, pages
834–839, Anchorage, AK, 4.-9. May 1998. IEEE, New York, NY. †CCA74654/98 ga98aNKubota.
[236] Paul C. Chu and J. E. Beasley. A genetic algorithm for the multidimensional knapsack problem. J.
Heuristics (Netherlands), 4(1):63–86, 1998. †CCA66884/98 ga98aPaulCChu.
[237] G. R. Raidl. An improved genetic algorithm for the multiconstrained 0-1 knapsack problem. In Proceedings
of the 1998 IEEE International Conference on Evolutionary Computation, pages 207–211, Anchorage, AK
(USA), 4.-9. May 1998. IEEE, New York, NY. †CCA74666/98 ga98bGRRaidl.
58
Genetic algorithms in operations research
[238] G. R. Raidl. Weight-codings in a genetic algorithm for the multi-constraint knapsack problem. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1, pages 596–603, Washington,
DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78294/99 ga99aGRRaidl.
[239] Robert Hinterding. Representation, constraint satisfaction and the knapsack problem. In Proceedings of
the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1286–1292, Washington, DC,
6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78288/99 ga99aHinterding.
[240] Huo Hong-Wei, Xu Jin, and Bao Zheng. Solving 0/1 knapsack problem using genetic algorithm. J. Xidian
Univ. (China), 26(4):493–497, 1999. In Chinese †CCA 94288/99 ga99aHong-Wei.
[241] I. F. T. Yaseen and H. V. Sahasrabuddhe. A genetic algorithm for the cryptanalysis of Chor-Rivest knapsack
public key cryptosystem (PKC). In Proceedings of the Third International Conference on Computational
Intelligence and Multimedia Applications, pages 81–85, New Delhi, India, 23.-26. September 1999. IEEE
Computer Society Press, Los Alamitos , CA. †CCA86792/99 ga99aIFYaseen.
[242] Masato Sasaki and Mitsuo Gen. A method for solving fuzzy multiple objective knapsack problem with
GUB structure by hybrid genetic algorithm. In Proceedings of the Fifteenth International Conference
on Production Research, volume 1, pages 797–800, Limerick, Ireland, 9.-12. August 1999. University of
Limerick, Ireland. ga99aMasatoSasaki.
[243] Masatoshi Sakawa, K. Kato, Toshihiro Shibano, and S. Miyahara. An approximate solution method
for multidimensional integer knapsack problems through genetic algorithms with triple strings. Trans.
Inst. Electron. Inf. Commun. Eng. A (Japan), J82-A(5):691–697, 1999. In Japanese †CCA61312/99
ga99aMasatoshiSakawa.
[244] Robert Hinterding. Mapping, order-independent genes and the knapsack problem. Technical Report TR 35
COMP8, Victoria University of Technology, Department of Computer and Mathematical Sciences, 1993.
ga:Hinterding93a.
[245] Richard Spillman. Cryptanalysis of knapsack ciphers using genetic algorithms. Cryptologia, 17(4):367–377,
October 1993. * CCA 13745/93 ga:Spillman93c.
[246] Ken-Nosuke Wada, Hirofumi Doi, Chin-Ichi Tanaka, and Yoshiko Wada. A neo-Darwinian algorithm:
Asymmetrical mutations due to semiconservative DNA-type replication promote evolution. Proceedings of
the National Academy of Sciences of the United States of America, 90(24):11934–11938, December 1993.
ga:Wada93a.
[247] E. K. Burke and A. J. Smith. Hybrid evolutionary techniques for the maintenance scheduling problem.
IEEE Transactions on Power Systems, 15(1):122–128, February 2000. ga00aBurke.
[248] L. B. Jack and A. K. Nandi. Genetic algorithms for feature selection in machine condition monitoring with
vibration signals. In IEE Proceedings - Vision, Image and Signal Processing, volume 147, pages 205–212,
?, June 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aLBJack.
[249] M. Marseguerra and E. Zio. Finding optimal repair and maintenance strategies by a combined genetic
algorithm - Monte Carlo approach. In M. P. Cottam, R. P. Pape, and D. W. Harvey, editors, Conference on
Foresight and Precaution, volume 1-2, pages 261–268, Edinburgh, Scotland, 15.-17.May 2000. A a Balkema,
Rotterdam. †P89831 ga00aMMarseguerra.
[250] Peng Chen, T. Toyota, M. Taniguchi, Fang Feng, and T. Hiho. Failure diagnosis method for machinery in
unsteady operating condition by instantaneous power spectrum and genetic programming. In R. J. Howlett
and L. C. Jain, editors, Fourth International Conference on Knowledge-Based Intelligent Engineering
Systems and Allied Technology, volume 2, pages 640–643, Brighton, UK, 30. August-1. September 2000.
IEEE, Piscataway, NJ. * www/IEEE ga00aPChen.
[251] Gary G. Yen and Phayung Meesad. Development of a neuro-fuzzy expert system for predictive maintenance. In Peter K. Willett and Thiagalingam Kirubarajan, editors, Component and Systems Diagnostics,
Prognosis, and Health Management, volume SPIE-4389, pages 138–149, ?, July 2001. The International
Society for Optical Engineering. * www/SPIE Web ga01aGGYen.
[252] Weng Tat Chan, T. F. Fwa, and Kh. Zahidul Hoque. Constraint handling methods in pavement maintenance programming. Transportation Research, Part C, 9(?):175–190, ? 2001. ga01aWengTatChan.
[253] Geoffrey A. Hollinger and Jeri M. Briscoe. Genetic optimization and simulation of a piezoelectric
pipe-crawling inspection robot. In Proceedings of the 2005 IEEE International Conference on Robotics
and Automation, ICRA 2005, page ?, Barcelona (Spain), 18.-22. April 2005. IEEE, Piscataway, NJ.
ga05aGAHollinger.
Bibliography
59
[254] K. Sirvi¨
o and J. Hollmen. Multi-year network level road maintenance programming by genetic algorithms
and variable neighbourhood search. In Proceedings of the 2010 13th IEEE International Conference on
Intelliget Transportation Systems (ITSC), pages 581–586. IEEE, Piscataway, NJ, 19.-22. September 2010.
ga10aKSirvio ⇒ .
[255] M´
arcio P. Basgalupp, Rodrigo C. Barros, and Duncan D. Ruiz. Predicting software maintenance effort
through evolutionary-based decision trees. In Proceedings of the 27th Annual ACM Symposium on Applied
Computing, volume ?, pages 1209–1214, ?, ? 2012. ACM. ga12aMarcioPBasgalupp ⇒ http://dl.acm.
org/citation.cfm?id=2231966.
[256] T. F. Fwa, C. Y. Tan, and W. T. Chan. Road maintenance planning using genetic algorithms. II: Analysis.
Transportation Engineering, 120(5):710–722, September-October 1994. * EI M007046/95 ga94aFwa.
[257] H. Kim and K. Nara. A method for maintenance scheduling using GA combined with SA. Computers &
Industrial Engineering, 27(1-4):477–480, September 1994. (Proceedings of the 16th Annual Conference on
Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar.) * CCA 18179/95 ga94aHKim.
[258] T. Sutoh, H. Suzuki, and N. Nagai. Large-scale generator maintenance scheduling using simulated evolution. In ?, editor, Proceedings of the International Conference on Intelligent System Application to Power
Systems, page ?, Montpellier (France), 5.-9. September 1994. ? †prog. ga94aSutoh.
[259] W. T. Chan, T. F. Fwa, and C. Y. Tan. Road maintenance planning using genetic algorithms. I: Formulation. Transportation Engineering, 120(5):693–709, September-October 1994.
* EI M007045/95
ga94aWTChan.
[260] H. Kim and K. Nara. Thermal unit maintenance scheduling using ga combined with sa. In Proceedings
of the Fifth Annual Conference of Power and Energy Society IEE Japan, volume 2, pages 19–24, Tokyo,
Japan, 27.-29. July 1994. Institute of Electrical and Electronics Engineers, Tokyo, Japan. * EEA93635/95
ga94bHKim.
[261] C. A. Grimes. Application of genetic techniques to the planning of railway track maintenance work. In
IEE/IEEE Sheffield ’95 [1767], pages 467–472. †conf.prog ga95aGrimes.
[262] Peng Chen and Toshio Toyota. Extraction method of failure signal by genetic algorithm and the application to inspection and diagnosis robot. IEICE Transactions, E78-A(12):1620–1626, December 1995.
ga95aPChen.
[263] Fr´ed´eric Thollon and No¨el Burais. Geometrical optimization of sensors for eddy currents – nondestructive
testing and evaluation. IEEE Transactions on Magnetics, 31(3):2026–2031, May 1995. (Proceedings of the
Sixth Biennial IEEE Conference on Electromagnetic Field Computation (CEFC94), Grenoble (France),
July 5.-7., 1994) ga95aThollon.
[264] Dragan A. Savic, Godfrey A. Walters, and Jezdimir Knezevic. Optimal opportunistic maintenance policy using genetic algorithms, 1: formulation. J Qual Maint Eng, 1(2):34–49, 1995. †EI M165023/95
ga95cSavic.
[265] Jun Takeuchi and Yukio Kosugi. Neural network implementation to leak localization problems of pipe networks. Nippon Kikai Gakkai Ronbunshu C Hen, 62(595):936–941, 1996. †EI M111399/96 ga96aTakeuchi.
[266] Yann-Chang Huang, Hong-Tzer Yang, and Ching-Lien Huang. An evolutionary computations based fuzzy
fault diagnosis system for a power transformer. In Proceedings of the 1996 Asian Fuzzy Systems Symposium, pages 218–223, Kenting, Taiwan, 11.-14. December 1996. IEEE, New York, NY. †EEA51077/97
ga96aY-CHuang.
[267] P. Chen, M. Nasu, and T. Toyota. Self-reorganization of symptom parameters in frequency-domain for
failure diagnosis by genetic algorithms. Journal of Intelligent & Fuzzy Systems, 6(1):27–38, 1996. †P81724
ga96bPChen.
[268] Lee A. Belfore, II and Abdul-Rahman A. Arkadan. Modeling faulted switched reluctance motors using
evolutionary neural networks. IEEE Transactions on Industrial Electronics, 44(2):226–233, April 1997.
ga97aBelfore.
[269] Hyunchul Kim, Yasuhiro Hayashi, and Koichi Nara. An algorithm for thermal unit maintenance scheduling
through combined use of GA SA and TS. IEEE Transactions on Power Systems, 12(1):329–335, February
1997. (Proceedings of the 1996 IEEE/PES Winter Meeting, Jan. 21.-25. 1996, Baltimore, MD) ga97aHKim.
[270] Jonathan S. Tan and Mark A. Kramer. A general framework for preventive maintenance optimization
in chemical process operations. Computers & Chemical Engineering, 21(12):1451–1469, 1997. †www
/ScienceDirect Levitin/bib ga97aJSTan.
60
Genetic algorithms in operations research
[271] K. P. Dahal and J. R. McDonald. Generator maintenance scheduling of electric power systems using genetic
algorithms with integer representation. In George D. Smith and Nigel C. Steele, editors, Proceedings of
the Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and
Applications, pages 456–461, Glasgow (UK), 2.-4. September 1997. IEE, London (UK). †CCA2463/98
ga97aKPDahal.
[272] William B. Langdon and Philip C. Treleaven. Artificial Intelligence Techniques in Power Systems, volume 22 of IEE Power Engineering Series, chapter 10. Scheduling maintenance of electrical power transmission networks using genetic programming, pages 220–237. IEE, London, 1997. ga97aWBLangdon.
[273] E. K. Burke, J. A. Clarke, and A. J. Smith. Four methods for maintenance scheduling. In George D. Smith
and Nigel C. Steele, editors, Proceedings of the International Conference on Artificial Neural Networks and
Genetic Algorithms, pages 264–269, Norwich, UK, 2.-4. April 1997. ga97bEKBurke.
[274] K. P. Dahal and J. R. McDonald. Generational and staedy-state genetic algorithms for generator maintenance scheduling problems. In George D. Smith and Nigel C. Steele, editors, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms, pages 259–263, Norwich, UK,
2.-4. April 1997. Springer-Verlag, Berlin. ga97bKPDahal.
[275] Shyh-Jier Huang. Generator maintenance scheduling: a fuzzy system approach with genetic enhancement.
Electr. Power Syst. Res. (Switzerland), 41(3):233–239, 1997. †EEA80530/97 ga97bS-JHuang.
[276] S. Deris, S. Omatu, H. Ohta, S. Kutar, and P. AbdSamat. Application of a hybrid genetic algorithm to ship
maintenance scheduling. In Proceedings of the Artificial Intelligence in Real-Time Control, pages 65–70,
Kuala Lumpur, Malaysia, 22.-25. September 1997. Pergamon Press Ltd., Oxford. †P82894 ga97bSDeris.
[277] J. Usher, A. Kamal, and W. Syed. Cost optimal maintenance and replacement scheduling. IIE Transactions,
(30):1121–1128, 1998. †Levitin/bib ga98aJUsher.
[278] O. Cordon, F. Herrera, and L. Sanchez. Computing the Spanish medium electrical line maintenance
costs by means of evolution-based learning processes. In Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, volume 1,
pages 478–486, Benicassim, Spain, 1.-4. June 1998. Springer-Verlag, Berlin (Germany). †CCA82530/98
ga98aOCordon.
[279] S. Deris, S. Omatu, H. Ohta, S. Kutar, and P. AbdSamat. Application of a hybrid genetic algorithm to
ship maintenance scheduling. Artificial Intelligence in Real-Time Control, pages 65–70, 1998. †Levitin/bib
ga98aSDeris.
[280] Sakae Toune, Hiroyuki Fudo, Takamu Genji, and Yoshikazu Fukuyama Yosuke Nakanishi. A reactive tabu
search for service restoration in electric power distribution systems. In IEEE World Congress on Computational Intelligence. The 1998 IEEE International Conference on Evolutionary Computation Proceedings,
volume ?, pages 763–768, Anchorage, AK, 4.-9. May 1998. IEEE, Piscataway, NJ. ga98aSToune.
[281] Gregory Levitin, Anatoly Lisnianski, Hanoch Ben-Haim, and David Elmakis. Genetic algorithm for optimal long-term power system maintenance and development planning. In Proceedings of the 1st Mediterranean Conference on Power Generation, Transmission and Distribution, page ?, Lefkosia (Nicosia), 16.18. November 1998. IEE Cyprus, IEE Hellas, IEE Israel. ga98dLevitin.
[282] Gregory Levitin and Anatoly Lisnianski. Joint redundancy and maintenence optimization for multistate
series-parallel systems. Reliability Engineering and System Safety, 64(?):33–42, ? 1999. ga99aGLevitin.
[283] Michael Negnevitsky and Galina Kelareva. Application of genetic algorithms for maintenance scheduling
in power systems. In 6th International Conference on Neural Information Processing, volume 2, pages
447–452, Perth (Australia), 16.-20. November 1999. IEEE, Piscataway, NJ. ga99aMNegnevitsky.
[284] V. Podgorelec, P. Kokol, and A. Kunej. Optimizing preventive maintenance in a nuclear-power-plant using
genetic algorithms. In Proceedings of the Computational Intelligence for Modelling, Control & Automation,
pages 17–22, Vienna, Austria, 17.-19. February 1999. IOS Press, Amsterdam. †P84322 ga99aPodgorelec.
[285] Y. Y. Wang and E. Handschin. Unit maintenance scheduling in open systems using genetic algorithm. In
Proceedings of the 1999 IEEE Transmission and Distribution Conference, volume 1-2, pages 334–339, New
Orleans, LA, 11.-16. April 1999. IEEE, New York, NY. †P85080 ga99aYYWang.
[286] Gregory Levitin and Anatoly Lisnianski. Optimal multistage modernization of power system subject
to reliability and capacity requirements. Electric Power Systems Research, 50(?):183–190, ? 1999.
ga99bGLevitin.
[287] Michael Negnevitsky and Galina Kelareva. Maintenance scheduling in power systems using genetic algorithms. In International Conference on Electric Power Engineering. PowerTech Budapest 99, volume ?,
page 187, Budapest (Hungary), 29. August-2. September 1999. IEEE, Piscataway, NJ. ga99bMNegnevitsky.
Bibliography
61
[288] Wee Sng Khoo, P. Saratchandran, and N. Sundararajan. A genetic approach for two dimensional packing
with constraints. In V. N. Alexandrov, J. J. Dongarra, B. A. Juliano, R. S. Renner, and C. J. Kenneth
Tan, editors, Computational Science - ICCS 2001, International Conference, volume LNCS of 2074, pages
291–299, San Francisco, CA, 28.-30. May 2001. Springer-Verlag Berlin Heidelberg. * www /Springer
ga01aWSKhoo.
[289] Francis E. H. Tay, T. Y. Chong, and F. C. Lee. Pattern nesting on irregular-shaped stock using genetic algorithms. Engineering Applications of Artificial Intelligence, 15(6):551–558, December 2002. ga02aFEHTay.
[290] A. J. Crispin, P. Clay, G. E. Taylor, T. Bayes, and D. Reedman. Genetic algorithms applied to leather
lay plan material utilization. Proceedings of the Institution of Mechanical Engineers, Part B-Journal of
Engineering Manufacture, 217(12):1753–1756, ? 2003. * ISI ga03aAJCrispin.
[291] Alan Crispin, Paul Clay, Gaynor Taylor, Tom Bayes, and David Reedman. Genetic algorithm coding
methods for leather nesting. Applied Intelligence, 23(1):9–20, July 2005. †www /ACM ga05aACrispin.
[292] Kwok wah Tang and Wallace Kit sang Tang. Metal cutting with hybrid genetic algorithm. In Proceedings of
the 2005 3rd IEEE International Conference on Industrial Informatics (INDIN), volume ?, pages 735–739,
?, ? 2005. IEEE, Piscataway, NJ. ga05aKwok-wahTang.
[293] D. L. Zhu, X. W. Hu, J. W. Chen, and H. D. Hou. Research on optimal layout techniques of NC metal
cutting for polygonal metal part. In Proceedings of the International Technology and Innovation Conference,
volume ?, pages 300–306, ?, ? 2006. IEEE, Piscataway, NJ. ga06aDLZhu.
[294] Heng Ma and Chia-Cheng Liu. Fast nesting of 2-D sheet parts with arbitrary shapes using a greedy
method and semi-discrete representation. IEEE Transactions on Automation Science and Engineering,
4(2):273–282, April 2007. ga07aHengMa.
[295] Peter Bober. Pouˇzitie genetick´
ych algoritmov pre optimaliz´
aciu rezn´
ych pl´
anov [optimization of cutting
plans using genetic algorithms]. Kvalita Inov´
acia Prosperita, XII(2):1–10, ? 2008. ga08aPeterBober.
[296] Erik D. Goodman, Alexander Y. Tetelbaum, and Victor M. Kureichik. A genetic algorithm approach to
compaction, bin packing, and nesting problems. Technical Report 94-07-02, Michigan State University,
Intelligent Systems Laboratory and Case Center for Computer-Aided Engineering and Manufacturing,
1994. †www /ResearchIndex ga94bEDGoodman.
[297] Catherine Bounsaythip, Salah Maouche, and M. Neus. Evolutionary search techniques application in automated lay-planning optimization problem. In IEEE-SMC’95 [1771], pages 4497–4502. ga95aBounsaythip.
[298] H. S. Ismail and K. K. B. Hon. The nesting of two-dimensional shapes using genetic algorithms. Proc.
Inst. Mech. Eng. B, J. Eng. Manuf. (UK), 209(B2):115–124, ? 1995. * EI M114951/95 CCA 36383/95
ga95aIsmail.
[299] S. Yamauchi and K. Tezuka. Automatic nesting system by use of genetic algorithm. Nihon Zosen Gakkai
Ronbunshu, 178:707–712, 1995. †EI M182315/97 ga95aYamauchi.
[300] Catherine Bounsaythip and Salah Maouche. A genetic approach to a nesting problem in textile manufacturing industry. In Alander [1772], pages 89–104. (ftp://ftp.uwasa.fics/2NWGA/Bounsaythip.ps.Z)
ga96aBounsaythip.
[301] Rahul Dighe and Mark J. Jakiela. Solving pattern nesting problems with genetic algorithms employing
task decomposition and contact detection. Evolutionary Computation, 3(3):239–266, ? 1996. ga96aDighe.
[302] B. H. Gwee and Meng-Hiot Lim. Polyominoes tiling by a genetic algorithm. Computational Optimization
and Applications, 6(3):273–291, 1996. †CCA94497/96 ga96aGwee.
[303] Andr´
as P´eter, Andr´
as Andr´
as, and Szab´
o Zsuzsa. A genetic solution for the cutting stock problem. In
Proceedings of the First Online Workshop on Soft Computing (WSC1), pages 87–92, WWW (World Wide
Web), 19.-30. August 1996. Nagoya University. ga96aPeter ⇒ WWW(WorldWideWeb).
[304] G. Godza, Maurizio Rebaudengo, and Matteo Sonza Reorda. Using parallel genetic algorithms for solving
the min-cut problem. In H. Liddell, A. Colbrook, B. Hertzberger, and S. Sloot, editors, Proceedings of the
International Conference and Exhibition HPCN EUROPE 1996, pages 985–986, Brussels, Belgium, 15.-19.
April 1996. Springer-Verlag, Berlin (Germany). ga96bGodza.
[305] A. T. Rahmani and N. Ono. A genetic algorithm for the two-dimensional general guillotine cutting problem.
Chin. J. Adv. Softw. Res. (USA), 3(1):66–70, 1996. †CCA72265/96 ga96bRahmani.
[306] G. Watanabe and T. Ono. Determination of cutting layout of two-dimensional patterns by genetic algorithms. Transactions of the Institute of Electrical Engineers of Japan D, 117-D(3):356–363, 1997. In
Japanese †CCA47037/97 ga97aGWatanabe.
62
Genetic algorithms in operations research
[307] Catherine Bounsaythip and Salah Maouche. Irregular shape nesting and placing with evolutionary approach. In Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics,
volume 4, pages 3425–3430, ?, 12. -15. October 1997. IEEE, Piscataway, NJ. ga97bBounsaythip.
[308] T. Ono and T. Ikeda. Optimization of two-dimensional guillotine cutting by genetic algorithms. In
Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing, volume 1, pages
450–454, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, AAchen (Germany). †CCA69155/99
ga98aTOno.
[309] V. Petridis, S. Kazarlis, and A. Bakirtzis. Varying fitness functions in genetic algorithm constrained
optimization: the cutting stock and unit commitment problems. IEEE Transactions on Systems, Man,
and Cybernetics B, Cybernetics, 28(5):629–640, 1998. †CCA91432/98 ga98bPetridis.
[310] A. Ramesh Babu and N. Ramesh Babu. Effective nesting of rectangular parts in multiple rectangular
sheets using genetic and heuristic algorithms. International Journal of Production Research, 37(7):1625–
1643, May 1999. ga99aARBabu.
[311] B. J. Wagner. A genetic algorithm solution for one-dimensional bundled stock cutting. Eur. J. Oper. Res.
(Netherlands), 117(2):368–381, 1999. †CCA69398/99 ga99aBJWagner.
[312] Deborah F. Cook and Mary Leigh Wolfe. Genetic algorithm approach to a lumber cutting optimization
problem. Cybernetics and Systems, 22(3):357–365, May-June 1991. * ga:DFCook91.
[313] Kikuo Fujita, Shinsuke Akagi, and Noriyasu Kirokawa. Hybrid approach for optimal nesting using a
genetic algorithm and a local minimization algorithm. In Proceedings of the 19th Annual ASME Design
Automation Conference, volume 1, pages 477–484, Albuquerque, NM, 19.-22. September 1993. ASME,
New York. * ga:Fujita93a.
[314] H. S. Ismail and K. K. B. Hon. New approaches for the nesting of two-dimensional shapes for press tool
design. International Journal of Production Research, 30(4):825–837, April 1992. ga:Ismail92a.
[315] Jarmo T. Alander. On optimal population size of genetic algorithms. In Patrick Dewilde and Joos Vandewalle, editors, CompEuro 1992 Proceedings, Computer Systems and Software Engineering, 6th Annual
European Computer Conference, pages 65–70, The Hague, 4.-8. May 1992. IEEE Computer Society, IEEE
Computer Society Press. GA:CompEuro92 ⇒ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=
218485.
[316] Jarmo T. Alander. Population size. In Alander [1773], pages 180–189. also as [315] GA:psize.
[317] Joseph C. Culberson. Mutation-crossover isomorphisms and the construction of discriminating functions.
Evolutionary Computation, 2(3):?, ? 1995. †[1774] ga95bCulberson.
[318] Terry Jones. Evolutionary Algorithms, Fitness Landscapes and Search. PhD thesis, University of New
Mexico, 1995. †[1775][1776][1774] ga95dTJones.
[319] A. G´
omez and D. de la Fuente. Resolution of strip-packing problems with genetic algorithms. Journal of
the Operational Research Society, 51(11):1289–1295, November 2000. ga00aAGomez.
[320] Alain Hertz and Daniel Kobler. A framework for the description of evolutionary algorithms. European
Journal of Operational Research, 126(1):1–12, 1. October 2000. ga00aAlainHertz.
[321] Haldun Aytug and Gary J. Koehler. New stopping criterion for genetic algorithms. European Journal of
Operational Research, 126(3):662–674, 1. November 2000. ga00aHaldunAytug.
[322] Isao Shiromaru, Masahiro Inuiguchi, and Masatoshi Sakawa. A fuzzy satisficing method for electric power
plat coal purchase using genetic algorithms. European Journal of Operational Research, 126(1):218–230,
1. October 2000. ga00aIsaoShiromaru.
[323] Petya I. Ivanova and Todor D. Tagarev. Indicator space configuration for early warning of violent political
conflicts by genetic algorithms. Annals of Operations Research, 97(?):287–311, ? 2000. †toc ga00aIvanova.
[324] Jian Ma, Peng Tian, and Dong-Mo Zhang. Global optimization by Darwin and Boltzmann mixed strategy.
Computers & Operations Research, 27(2):143–159, February 2000. ga00aJianMa.
[325] Lixin Tang, Jiyin Liu, Aiying Rong, and Zihou Yang. A multiple traveling salesman problem model for hot
rolling scheduling in Shanghai Baoshan Iron & Steel Complex. European Journal of Operational Research,
124(?):267–282, ? 2000. ga00aLixinTang.
[326] S. J. Mardle, S. Pascoe, and M. Tamiz. An investigation of genetic algorithms for the optimization of multiobjective fisheries bioeconomic models. International Transactions in Operational Research, 7(1):33–49,
January 2000. ga00aMardle.
Bibliography
63
¨
[327] Linet Ozdamar
and Malek Demirhan. Experiments with new stochastic global optimization search techniques. Computers & Operations Research, 27(9):841–865, August 2000. ga00aOzdamar.
[328] Shu-Heng Chen and Chia-Hsuan Yeh. Simulating economic transition processes by genetic programming.
Annals of Operations Research, 97(?):265–286, ? 2000. †toc ga00aShu-HengChen.
[329] X. Cai and K. N. Li. A genetic algorithm for scheduling staff of mixed skills under multi-criteria. European
Journal of Operational Research, 125(2):359–369, 1. September 2000. ga00aXCai.
[330] A. Bolat. Models and a genetic algorithm for static aircraft-gate assignment problem. Journal of the
Operational Research Society, 52(10):1107–1120, October 2001. ga01aABolat.
[331] Aura Reggiani, Peter Nijkamp, and Enrico Sabella. New advances in spatial network modelling: Towards
evolutionary algorithms. European Journal of Operational Research, 128(2):385–401, 16. January 2001.
ga01aAuraReggiani.
[332] E. Nishimura, A. Imai, and S. Papadimitriou. Berth allocation planning in the publich berth system by
genetic algorithms. European Journal of Operational Research, 131(2):282–292, 1. June 2001. †TKKpaa
ga01aENishimura.
[333] Georgia Alexouda and Konstantinos Paparrizos. A genetic algorithm approach to the product line design
problem using the seller’s return criterion: An extensive comparative computational study. European
Journal of Operational Research, 134(1):165–178, 1. October 2001. ga01aGAlexouda.
[334] E. Hopper and B. C. H. Turton. An empirical investigation of meta-heuristic and heuristic algorithms
for a 2D packing problem. European Journal of Operational Research, 128(1):34–57, 1. January 2001.
ga01aHopper.
[335] J. E. Beasley, J. Sonander, and P. Havelock. Scheduling aircraft landings at London Heathrow using a population heuristics. Journal of the Operational Research Society, 52(5):483–493, May 2001. ga01aJEBeasley.
[336] Jarkko Niittym¨
aki and Matti Pursula. The 11th Mini-EURO conference: Artificial intelligence on transportation systems and science. European Journal of Operational Research, 131(2):229–231, 1. June 2001.
ga01aJNiittymaki.
[337] Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms. Journal of the
Operational Research Society, 52(3):291–302, March 2001. ga01aKalyanmoyDeb.
[338] Keiji Suzuki and Azuma Ohuchi. Combining the filtered evaluation function with coevolutionary shared
niching in genetic algorithms. International Transactions in Operational Research, 8(3):269–284, May
2001. ga01aKeijiSuzuki.
[339] P. Ji, M. T. Sze, and W. B. Lee. A genetic algorithm of determining cycle time for printed circuit board
assembly lines. European Journal of Operational Research, 128(1):175–184, 1. January 2001. ga01aPJi.
[340] Paulo M. Fran¸ca, Alexandre Mendes, and Pablo Moscato. A memetic algorithm for the total tardiness
single machine scheduling problem. European Journal of Operational Research, 132(1):224–242, 1. July
2001. ga01aPMFranca.
[341] R. J. Kuo. A sales forecasting system based on fuzzy neural network with initial weights generated by
genetic algorithm. European Journal of Operational Research, 129(3):496–517, 16. March 2001. ga01aRJKuo.
[342] Ruhul Sarker, Thomas Runarsson, and Charles Newton. Genetic algorithms for solving a class of constrained nonlinear integer programs. International Transactions in Operational Research, 8(1):61–74, January 2001. ga01aRSarker.
[343] Tan Kay Chen, Lee Loo Hay, and Ou Ke. Hybrid genetic algorithms in solving vehicle routing problems
with time window constraints. Asia-Pacific Journal of Operational Research, 18(1):121–131, May 2001.
†EBSCO 4417551 ga01aTanKayChen.
[344] Yu-Chiun Chiou and Lawrence W. Lan. Genetic clustering algorithms. European Journal of Operational
Research, 135(2):413–427, 1. December 2001. ga01aY-CChiou.
[345] Andrzej Jaszkiewicz. Genetic local search for multi-objective combinatorial optimization. Journal of
Operational Research, 137(1):50–71, 16. February 2002. †www /Elsevier ga02aAJaszkiewicz.
[346] C. Alabas, F. Altiparmak, and B. Dengiz. A comparison of the performance of artificial intelligence
techniques for optimizing the number of kanbans. Journal of the Operational Research Society, 53(8):907–
914, August 2002. ga02aCAlabas.
[347] D. F. Jones, S. K. Mirrazavi, and M. Tamiz. Multi-objective meta-heuristics: An overview of the current
state-of-the-art. European Journal of Operational Research, 137(1):1–9, 16. February 2002. †www /Elsevier
ga02aDFJones.
64
Genetic algorithms in operations research
[348] Elham Ghashghai and Ronald L. Rardin. Using a hybrid of exact and genetic algorithms to design
survivable networks. Computers & Operations Research, 29(1):53–66, January 2002. †www /Elsevier
ga02aEGhashghai.
[349] Hermann Gehring and Andreas Bortfeldt. A parallel genetic algorithm for solving the container
loading problems.
International Transactions in Operational Research, 9(4):497–511, July 2002.
ga02aHermannGehring.
[350] Jorge H. Jaramillo, Joy Bhadury, and Rajan Batta. On the use of genetic algorithms to solve location
problems. Computers & Operations Research, 29(6):761–779, May 2002. ga02aJHJaramillo.
[351] Jo˜
ao Pedro Pedroso. An evolutionary solver for pure integer linear programming. International Transactions in Operational Research, 9(3):337–352, May 2002. ga02aJPPedroso.
[352] Masatoshi Sakawa, Kosuke Kato, and Satoshi Ushiro. Operational planning of district heating and cooling
plants through genetic algorithms for mixed 0-1 linear programming. European Journal of Operational
Research, 137(3):677–687, 16. March 2002. †www /Elsevier ga02aMSakawa.
[353] Thomas E. McKee. Genetic}programming and rough sets: A hybrid approach to bankruptcy classification.
European Journal of Operational Research, 138(2):436–451, April 2002. †www /Elsevier ga02aTMcKee.
[354] U. Aickelin. An indirect genetic algorithm for set covering problems. Journal of the Operational Research
Society, 53(10):1118–1126, October 2002. ga02aUAickelin.
[355] Zhan hong Xin and Hai jun Zhang. Neural network and genetic algorithms for topology optimization
of the CCS7 network. International Transactions in Operational Research, 9(4):427–436, July 2002.
ga02aZhan-hongXin.
[356] E. Erdem and N. E. Ozdemirel. An evolutionary approach for the target allocation problem. Journal of
the Operational Research Society, 54(9):958–969, September 2003. ga03aEErdem.
[357] J. Alcaraz, C. Maroto, and R. Ruiz. Solving the multi-mode resource-constrained project scheduling
problem with genetic algorithms. Journal of the Operational Research Society, 54(6):614–626, June 2003.
ga03aJAlcaraz.
[358] J. Berger and M. Barkaoui. A new hybrid genetic algorithm for the capacitated vehicle routing problem.
Journal of the Operational Research Society, 54(12):1254–1262, December 2003. * TKKpaa ga03aJBerger.
[359] Masao Yokoyama and Harold W. Lewis III. Optimization of the stochastic dynamic production cycling
problem by a genetic algorithm. Computers & Operations Research, 30(12):1831–1849, October 2003. *
www /ScienceDirect ga03aMasaoYokoyama.
[360] Zhiwei Fu, Bruce Golden, Shreevardhan Lele, S. Raghavan, and Edward Wasil. Genetically engineered
decision trees: population diversity produces smarter trees. Operations Research, 51(6):894–907, NovemberDecember 2003. ga03aZhiweiFu.
[361] B. Curry and P. H. Morgan. Evaluating Kohonen’s learning rule: An approach through genetic algorithms. European Journal of Operational Research, 154(1):191–205, 1. April 2004. * www /SceinceDirect
ga04aBCurry.
[362] J. A. Fern´
andez del Pozo, C. Bielza, and M. G´
omez. A list-based compact representation for large
decision tables management. European Journal of Operational Research, ?(?):?, ? 2004. (to appear)
ga04aFernandezdelPozo.
[363] J. Levine and F. Ducatelle. Ant colony optimization and local search for bin packing and cutting stock problems. Journal of the Operational Research Society, 55(7):705–716, July 2004. †ORS /toc ga04aJLevine.
[364] J. Martens. Two genetic algorithms to solve a layout problem in the fashion industry. European Journal
of Operational Research, 154(1):304–322, 1. April 2004. * www /SceinceDirect ga04aJMartens.
[365] J. Sch¨
onberger, D. C. Mattfeld, and H. Kopfer. Memetic algorithm timetabling for non-commercial sport
leagues. European Journal of Operational Research, 153(1):102–116, 16. February 2004. * www /SceinceDirect ga04aJSchonberger.
[366] James V. Hansen. Genetic search methods in air traffic control. Computers & Operations Research,
31(3):445–459, March 2004. * www /ScienceDirect ga04aJamesVHansen.
¨
[367] Ralf Ostermark.
A multipurpose parallel genetic hybrid algorithm for non-linear non-convex programming problems. European Journal of Operational Research, 152(1):195–214, 1. January 2004. * www
/SceinceDirect ga04aRalfOstermark.
[368] Gregory Levitin, Jacob Rubinovitz, and Boris Shnits. A genetic algorithm for robotic assembly line
balancing. European Journal of Operational Research, ?(?):?, ? 2005. (in press) ga05aGregoryLevitin.
Bibliography
65
[369] J. A. Fern´
andez del Pozo, C. Bielza, and M. G´
omez. A list-based compact representation for large
decision tables management. European Journal of Operational Research, 160(?):638–662, ? 2005.
ga05aJAFernandezdelPozo.
[370] Patricia Dom´ınguez-Mar´ın, Stefan Nickel, Pierre Hansen, and Nedad Mladenovi´c. Heuristic procedures
for solving the discrete ordered median problem. Annals of Operations Research, 136(1):145–173, January
2005. ga05aPDominguez-Marin.
[371] Gregory Levitin, Jacob Rubinovitz, and Boris Shnits. A genetic algorithm for robotic assembly line balancing. European Journal of Operational Research, 168(3):811–825, 1. February 2006. ga06aGregoryLevitin.
[372] Lawrence V. Snyder and Mark S. Daskin. A random-key genetic algorithm for the generalized traveling salesman problem. European Journal of Operational Research, 174(1):38–53, 1. October 2006.
ga06aLVSnyder.
[373] Enrique Alba and J. Francisco Chicano. Observations in using parallel and sequential evolutionary algorithms for automatic software testing. Computers & Operations Research, 177(11):2380–2401, June 2007.
ga07aEAlba.
[374] Karl Doerner, Axel Focke, and Walter J. Gutjahr. Multicriteria tour planning for mobile healthcare
facilities in a developing country. European Journal of Operational Research, 179(?):1078–1096, ? 2007.
ga07aKarlDoerner.
[375] Enrique Alba and Francisco Chicano. Observations in using parallel and sequential evolutionary algorithms
for automatic software testing. Computers & Operations Research, 35(?):3161–3183, ? 2008. ga08aEAlba.
[376] Xue-Feng Wang, Xiao-Ming Sun, and Yang Fang. Genetic algorithm solution for multi-period two-echelon
integrated competitive/uncompetitive facility location problem. Asia-Pacific Journal of Operational Research, 25(1):33–56, February 2008. * ISI ga08aXue-FengWang.
[377] John W. Fowler, Esma S. Gel, Murat M. Koksalan, Pekka Korhonen, Jon L. Marquis, and Jyrki Wallenius.
Interactive evolutionary multi-objective optimization for quasi-concave preference functions. European
Journal of Operational Research, 206(2):417–425, October 2010. †ISI ga10aJohnWFowler ⇒ .
[378] Maria Woodside-Oriakhi, C. Lucas, and J. E. Beasley.
Heuristic algorithms for the cardinality constrained efficient frontier.
European Journal of Operational Research, 213(3):538–550,
16’ September 2011. ga11aMWoodside-Oriakhi ⇒ http://www.sciencedirect.com/science/article/
pii/S0377221711002670.
[379] Stuart F. Van Weele and Jose E. Ramirez-Marquez. Optimization of container inspection strategy via a
genetic algorithm. Annals of Operations Research, 187(1):229–247, July 2011. ga11aStuartFVanWeele ⇒
http://link.springer.com/article/10.1007%2Fs10479-010-0701-6.
[380] Juliane Muller, Christine A. Shoemaker, and Robert Piche. SO-MI: A surrogate model algorithm for
computationally expensive nonlinear mixed-integer black-box global optimization problems. Computers &
Operations Research, 40(5):1383–1400, May 2013. †ISI ga13aJulianeMuller ⇒ .
[381] Haldun Aytug, Gary J. Koehler, and Jane L. Snowdon. Genetic learning of dynamic scheduling within a
simulation environment. Computers & Operations Research, 21(8):909–925, October 1994. ga94aAytug.
[382] Daniel G. Conway and M. A. Venkataramanan. Genetic search and the dynamic facility layout problem.
Computers & Operations Research, 21(8):955–960, October 1994. ga94aConway.
[383] S. Selcuk Erenguc and Hasan Pirkul. Foreword: Heuristic, genetic and tabu search. Computers & Operations Research, 21(8):799, October 1994. ga94aErenguc.
[384] James P. Kelly, Manuel Laguna, and Fred Glover. A study of diversification strategies for the quadratic
assignment problem. Computers & Operations Research, 21(8):885–893, October 1994. ga94aKelly.
[385] Anna-Lena Nordstr¨
om and Suleyman Tufekci. A genetic algorithm for the talent scheduling problem.
Computers & Operations Research, 21(8):927–940, October 1994. ga94aNordstrom.
[386] Hasan Pirkul and Erik Rolland. New heuristic solution procedures for the uniform graph partitioning
problem: extensions and evaluation. Computers & Operations Research, 21(8):895–907, October 1994.
ga94aPirkul.
[387] Sencer Yeralan and Chen-Sin Lin. Genetic search with dynamic operating disciplines. Computers &
Operations Research, 21(8):941–954, October 1994. ga94aYeralan.
[388] Edward J. Anderson and Michael C. Ferris. Genetic algorithms for combinatorial optimization: The
assembly line balancing problem. Operations Research / Management Sciences, 34(5):523–525, SeptemberOctober 1994. (Abstract of [1778]) * ga94bAnderson.
66
Genetic algorithms in operations research
[389] Zbigniew Michalewicz. Evolutionary computation techniques for nonlinear programming problems. International Transactions in Operational Research, 1(2):223–240, 1994. ga94bMichalewicz.
[390] Jean-Arcady Meyer and Agn´es Guillot. Genetic algorithms and their extensions. Operations Research
“RAIRO”, ?(?):?, ? 1994. †Meyer ga94cJAMeyer.
[391] Bahaa Awadh, N. Sepehri, and O. Hawaleshka. A computer-aided process planning model based on genetic
algorithms. Computers & Operations Research, 22(8):841–856, September 1995. ga95aAwadh.
[392] Chuen-Lung Chen, Venkateswara S. Vempati, and Nasser Aljaber. An application of genetic algorithms for
flow shop problem. European Journal of Operations Research, 80(2):389–396, January 1995. ga95aCLChen.
[393] Chae Y. Lee and Jae Young Choi. A genetic algorithm for job sequencing problems with distinct due and
general early-tardy penalty weights. Computers & Operations Research, 22(8):857–869, September 1995.
ga95aCYLee.
[394] T. Chockalingam and S. Arunkumar. Genetic algorithm based heuristics for the mapping problem. Computers & Operations Research, 22(1):55–64, 1995. ga95aChockalingam.
[395] Federico Della Croce, Roberto Tadei, and Guiseppe Volta. A genetic algorithm for the job shop problem.
Computers & Operations Research, 22(1):15–24, 1995. ga95aDellaCroce.
[396] Ulrich Dorndorf and Erwin Pesch. Evolution based learning in a job shop scheduling environment. Computers & Operations Research, 22(1):25–40, 1995. ga95aDorndorf.
[397] Fred Glover, James P. Kelly, and Manuel Laguna. Genetic algorithms and tabu search: hybrids for
optimization. Computers & Operations Research, 22(1):111–124, 1995. ga95aGlover.
[398] W. H. Hahnert, III and Patricia A. S. Ralston. Analysis of population size in the accuracy and performance
of genetic training for rule-based control systems. Computers & Operations Research, 22(1):65–72, 1995.
ga95aHahnert.
[399] Berthold Kr¨
oger. Guillotinable bin packing: A genetic approach. European Journal of Operations Research,
84(3):645–661, 3. August 1995. ga95aKroger.
[400] Anup Kumar and Yash P. Gupta. Introduction [to a special issue]. Computers & Operations Research,
22(1):3–4, 1995. ga95aKumar.
[401] Vittorio Maniezzo, Alberto Colorni, and Marco Dorigo. Algodesk: an experimental comparison of eight
evolutionary heuristics applied to the QAP problem. European Journal of Operational Research, 81(1):188–
204, January 1995. ga95aManiezzo.
[402] Pui Wah Poon and Jonathan Neil Carter. Genetic algorithm crossover operators for ordering applications.
Computers & Operations Research, 22(1):135–148, 1995. ga95aPoon.
[403] Samual J. Raff. Preface. Computers & Operations Research, 22(1):1–2, 1995. ga95aRaff.
[404] Paul A. Rubin and Gary L. Ragatz. Scheduling in a sequence dependent setup environment with genetic
search. Computers & Operations Research, 22(1):85–99, 1995. ga95aRubin.
[405] David M. Tate and Alice E. Smith. A genetic approach to the quadratic assignment problem. Computers
& Operations Research, 22(1):73–84, 1995. ga95aTate.
[406] A. R. Venkatachalam. An analysis of an embedded crossover scheme on GA-hard problem. Computers &
Operations Research, 22(1):149–157, 1995. ga95aVenkatachalam.
[407] Anthony Wren and David O. Wren. A genetic algorithm for public transport driver scheduling. Computers
& Operations Research, 22(1):101–110, 1995. ga95aWren.
[408] Anup Kumar, Rakesh M. Pathak, and Yash P. Gupta. Genetic algorithm based approach for file allocation
on distributed systems. Computers & Operations Research, 22(1):41–54, 1995. ga95bKumar.
[409] Ren-Guo Song, Qi-Zhi Zhang, Mei-Kuang Tseng, and Bao-Jin Zhang. Application of artificial neural networks to the investigation of aging dynamics in 7175 aluminum alloys. Mater Sci Eng C Biomimetic Mater
Sens Systmatische Operationsforschung und Statistik, 3(1):39–41, 1995. †EI M016679/95 ga95bRGSong.
[410] Colin R. Reeves. A genetic algorithm for flowshop sequencing. Computers & Operations Research, 22(1):5–
13, 1995. ga95bReeves.
[411] A. R. P. White, J. W. Mann, and George D. Smith. Genetic algorithms and network ring design. Annals
of Operations Research, 86:347–374, 1996. †P84905 ga96aARPWhite.
[412] K. S. Al-Sultan, M. F. Hussain, and J. S. Nizami. A genetic algorithm for the set covering problem. Journal
of the Operational Research Society, 47(5):702–709, May 1996. ga96aAl-Sultan.
Bibliography
67
[413] Haldun Aytug, Siddartha Bhattacharrya, and Gary J. Koehler. A Markov chain analysis of genetic algorithms with power of 2 cardinality alphabets. European Journal of Operational Research, 96(1):195–201,
10. January 1996. ga96aAytug.
[414] Christopher Rose and Roy D. Yates. Genetic algorithms and call admission to telecommunications networks. Computers & Operations Research, 23(5):485–499, May 1996. ga96aCRose.
[415] Sangit Chatterjee, Cecilia Carrera, and Lucy A. Lynch. Genetic algorithms and traveling salesman problems. European Journal of Operational Research, 93(3):490–510, 20. September 1996. ga96aChatterjee.
[416] Kathryn A. Dowsland. Genetic algorithms — a tool for OR? Journal of the Operational Research Society,
47(4):550–561, April 1996. ga96aDowsland.
[417] Jung-Ug Kim and Yeong-Dae Kim. Simulated annealing and genetic algorithms for scheduling products
with multi-level product structure. Computers & Operations Research, 23(9):857–868, September 1996.
ga96aJ-UKim.
[418] J. E. Beasley and Paul C. Chu. A genetic algorithm for the set covering problem. European Journal of
Operational Research, 94(2):392–404, 25. October 1996. ga96aJEBeasley.
[419] Stefan Jakobs. On genetic algorithms for the packing of polygons. European Journal of Operational
Research, 88(1):165–181, January 1996. ga96aJakobs.
[420] David Levine. Application of a hybrid genetic algorithm to airline crew scheduling. Computers & Operations
Research, 23(6):547–558, 1996. ga96aLevine.
[421] Mitsuo Gen, Baoding Liu, and Kenichi Ida. Evolution program for deterministic and stochastic optimizations. European Journal of Operational Research, 94(3):618–625, 8. November 1996. ga96aMGen.
[422] Charles J. Malmborg. A genetic algorithm for service level based vehicle scheduling. European Journal of
Operational Research, 93(1):121–134, . August 1996. ga96aMalmborg.
[423] Karl Nachtigall and Stefan Voget. A genetic algorithm approach to periodic railway synchronization.
Computers & Operations Research, 23(5):453–463, May 1996. ga96aNachtigall.
[424] Venkata Ranga Neppalli, Chuen-Lung Chen, and Jatinder N. D. Gupta. Genetic algorithms for the twostage bicriteria flowshop problem. European Journal of Operational Research, 95(2):365–373, 6. December
1996. ga96aNeppalli.
[425] Marc Pirlot. General local search methods. European Journal of Operational Research, 92(3):493–511,
9, August 1996. ga96aPirlot.
[426] Venkata Ranga Neppalli, Chuen-Lung Chen, and Jatinder N. D. Gupta. Genetic algorithms for the twostage bicriteria flowshop problem. European Journal of Operational Research, 95(2):356–373, 6. December
1996. ga96aRangaNeppalli.
[427] Catherine Roucairol. Parallel processing for difficult combinatorial optimization problems. European
Journal of Operational Research, 92(3):573–590, 23. August 1996. ga96aRoucairol.
[428] Richard Vahrenkamp. Random search in the one-dimensional cutting stock problem. European Journal of
Operational Research, 95(1):191–200, 22. November 1996. ga96aVahrenkamp.
[429] Yeo Keun Kim, Chul Ju Hyun, and Yeongho Kim. Sequencing in mixed model assembly lines: a genetic
algorithm approach. Computers & Operations Research, 23(12):1131–1145, 1996. ga96aYeoKeunKim.
[430] Andreas B¨
olte and Ulrich Wilhelm Thonemann. Optimizing simulated annealing schedules with genetic
programming. European Journal of Operational Research, 92(2):402–416, 19. July 1996. ga96bBolte.
[431] Alberto Colorni, Marco Dorigo, F. Maffioli, Vittorio Maniezzo, G. Righini, and M. Trubian. Heuristics from
nature for hard combinatorial optimization problems. International Transactions in Operational Research,
3(1):1–21, 1996. †EEA103700/96 ga96bColorni.
[432] Charles Fleurent and Jacques A. Ferland. Genetic and hybrid algorithms for graph coloring. Annals of
Operations Research, 63(?):437–461, 1996. * CCA69200/96 ga96bFleurent.
[433] E. A. Herbert and Kathryn A. Dowsland. A family of genetic algorithms for the pallet loading problem.
Annals of Operations Research, 63(?):415–436, 1996. †CCA 70143/96 ga96bHerbert.
[434] Christopher R. Houck, Jeffery A. Joines, and Michael G. Kay. Comparison of genetic algorithms, random
restart and two-opt switching for solving large location-allocation problems. Computers & Operations
Research, 23(6):587–596, 1996. ga96bHouck.
[435] Christopher L. Huntley and Donald E. Brown. Parallel genetic algorithms with local search. Computers
& Operations Research, 23(6):559–571, 1996. ga96bHuntley.
68
Genetic algorithms in operations research
[436] James P. Ignizio and James R. Soltys. Simultaneous design and training of ontogenic neural network
classifiers. Computers & Operations Research, 23(6):535–546, 1996. ga96bIgnizio.
[437] Charles J. Malmborg. A genetic algorithm for service level based vehicle scheduling. European Journal of
Operational Research, 93(1):121–134, 23. August 1996. ga96bMalmborg.
[438] Avraham Shtub, Larry J. LeBlanc, and Ziyong Cai. Scheduling programs with repetitive projects: a
comparison of a simulated annealing, a genetic and a pair-wise swap algorithm. European Journal of
Operational Research, 88(1):124–138, 6. January 1996. ga96bShtub.
[439] David W. Coit and Alice E. Smith. Solving the redundancy allocation problem using a combined neural
network/genetic algorithm approach. Computers & Operations Research, 23(6):515–526, 1996. ga96cCoit.
[440] Marcello Braglia. Optimization of a simulated-annealing-based heuristic for single row machine layout
problem by genetic algorithm. International Transactions in Operational Research, 3(1):37–49, January
1996. ga96dBraglia.
[441] David B. Fogel and Lawrence J. Fogel. Using evolutionary programming to schedule tasks on a suite of
heterogeneous computers. Computers & Operations Research, 23(6):527–534, 1996. ga96dFogel.
[442] Herbert Dawid. Genetic algorithms as a model of adaptive learning in economic systems. Central European
Journal for Operations Research and Economics, 4(1):7–23, ? 1996. ga96dHDawid.
[443] Charu C. Aggarwal, James B. Orlin, and Ray P. Tai. Optimized crossover for the independent set problem.
Operations Research, 45(2):226–234, March-April 1997. ga97aAggarwal.
[444] P. G. Backhouse, A. F. Fotheringham, and G. Allan. A comparison of a genetic algorithm with an
experimental design technique in the optimization of a production process. Journal of the Operational
Research Society, 48(3):247–254, ? 1997. ga97aBackhouse.
[445] H. Gehring and A. Bortfeldt. A genetic algorithm for solving the container loading problem. International Transactions in Operational Research, 4(5/6):401–418, September/November 1997. †TKK/MAT
ga97aGehring.
[446] Atidel Ben Hadj-Alouane and James C. Bean. A genetic algorithm for the multiple-choice integer program.
Operations Research, 45(1):92–101, January-February 1997. ga97aHadj-Alouane.
[447] Haldun Aytug, Siddartha Bhattacharrya, and Gary J. Koehler. Markov chain analysis of genetic algorithms with power of 2 cardinality alphabets. European Journal of Operational Research, 96(1):195–201,
10. January 1997. ga97aHaldunAytug.
[448] M. Hifi. A genetic algorithm-based heuristic for solving the weighted maximum independent set and some
equivalent problems. Journal of the Operational Research Society, 48(6):612–622, June 1997. ga97aHifi.
[449] Jiafu Tang and Dingwei Wang. An interactive approach based on a genetic algorithm for a type of
quadratic programming problems with fuzzy objective and resources. Computers & Operations Research,
24(5):413–422, May 1997. ga97aJTang.
[450] Nachimuthu Karunanithi and Tamra Carpenter. SONET ring sizing with genetic algorithms. Computers
& Operations Research, 24(6):581–591, June 1997. (also as [1779]) ga97aKarunanithi.
[451] Z. Khan, B. Prasad, and T. Singh. Machining condition optimization by genetic algorithms and simulated
annealing. Computers & Operations Research, 24(7):647–657, July 1997. ga97aKhan.
[452] L. A. N. Lorena and L. D. S. Lopes. Genetic algorithms applied to computationally difficult set covering
problems. Journal of the Operational Research Society, 48(4):440–445, April 1997. †S&BS V 29 N 19
ga97aLorena.
[453] Mitsuo Gen and Baoding Liu. Evolution algorithm for optimal capacity expansion. Journal of the Operations Research Society of Japan, 40(1):1–9, March 1997. (e-mail: [email protected]) †opt-net
ga97aMGen.
[454] M. Gravel, A. L. Nsakanda, and W. Price. Efficient solutions to the cell-formation problem with multiple
routings via a double-loop genetic algorithm. European Journal of Operational Research, 109(2):286–298,
1997. †P81148 ga97aMGravel.
[455] Masao Mori and Ching Chih Tseng.
A genetic algorithm for multi-mode resource constrained
project scheduling problem. European Journal of Operational Research, 100(1):134–141, 1. July 1997.
ga97aMasaoMori.
[456] Paul C. Chu and J. E. Beasley. A genetic algorithm for the generalized assignment problem. Computers
& Operations Research, 24(1):17–23, January 1997. ga97aPCChu.
Bibliography
69
[457] M. A. Pollatschek. GP-a C language implementation of genetic programming. European Journal of
Operations Research (Netherlands), 101(1):224–225, 1997. †CCA105919/97 ga97aPollatsc.
[458] Darryn J. Reid. Enhanced genetic operators for the resolution of discrete constrained optimization problems. Computers & Operations Research, 24(5):399–411, May 1997. ga97aReid.
[459] Robert Simons. Evolutionary algorithms in management applications [review of a book]. Journal of the
Operational Research Society, 48(3):333–334, ? 1997. ga97aSimons.
¨
[460] G¨
und¨
uz Ulusoy, Funda Sivrikaya-S
¸ erifo˘
glu, and Umit
Bilge. A genetic algorithm approach to the simultaneous scheduling of machines and automated guided vehicles. Computers & Operations Research,
24(4):335–351, April 1997. ga97aUlusoy.
[461] Masatoshi Sakawa, Kosuke Kato, Hideaki Sunada, and Toshihiro Shibano. Fuzzy programming for multiobjective. 0-1 programming problems through revised genetic algorithms. European Journal of Operational
Research, 97(1):149–158, 16. February 1997. ga97cSakawa.
[462] Luis Castillo and Antonio Gonz´
alez. Distribution network optimization: Finding the most economic
solution by using genetic algorithm. European Journal of Operational Research, 108(3):527–537, 1. August
1998. ga98aCastillo.
[463] Daniel G. Conway, A. Victor Cabot, and M. A. Venkataramanan. A genetic algorithm for discriminant
analysis. Annals of Operations Research, 78(?):71–82, ? 1998. †toc ga98aConway.
[464] G. Zhou and M. Gen. An effective genetic algorithm approach to the quadratic minimum spanning tree
problem. Computers & Operations Research, 25(3):229–237, 1998. †CCA17935/98 ga98aGZhou.
[465] A. E. Gerodimos. [book review of ga97aansari = [1780]
]. Journal of the Operational Research Society, 49(1):93–94, January 1998. ga98aGerodimos.
[466] Michael Francis Gorman. An application of genetic and tabu searches to the freight railroad operating
plan problem. Annals of Operations Research, 78(?):51–69, ? 1998. †toc ga98aGorman.
[467] H. Altay Guvenir and Erdal Erel. Multicriteria inventory classification using a genetic algorithm. European
Journal of Operational Research, 105(1):29–37, 16. February 1998. ga98aGuvenir.
[468] J. M. Wilson. Annoteted bibliographies in combinatorial optimization [book review]. Journal of the
Operational Research Society, 49(6):674–675, June 1998. ga98aJMWilson98a.
[469] Jasmit Singh Kochhar, Bryce T. Foster, and Sunderesh S. Heragu. HOPE: a genetic algorithm for
the unequal area facility layout problem. Computers & Operations Research, 25(7/8):538–594, ? 1998.
ga98aJSKochhar.
[470] Kosuke Kato and Masatoshi Sakawa. An interactive fuzzy satisficing method for large scale multiobjective
0-1 programming problems with fuzzy parameters through genetic algorithms with double strings. European
Journal of Operational Research, 107(3):590–598, 16. June 1998. ga98aKosukeKato.
[471] Lawrence J. Schmitt and Mohammad M. Amini. Performance characteristics of alternative genetic algorithmic approaches to the traveling salesman problem using path representation: An empirical study.
European Journal of Operational Research, 108(3):551–570, 1. August 1998. ga98aLJSchmitt.
[472] Moutaz Khouja, Zbigniew Michalewicz, and Michael Wilmot. The use of genetic algorithms to solve
the economic lot size scheduling problem. European Journal of Operational Research, 110(3):509–524,
1. November 1998. ga98aMKhouja.
[473] Marc Gravel, Aaron Luntala Nsakanda, and Wilson Price. Efficient solutions to the cell-formation problem
with multiple routings via a double-loop genetic algorithm. European Journal of Operational Research,
109(2):286–298, 1. September 1998. ga98aMarcGravel.
[474] Masatoshi Sakawa and Toshihiro Shibano. An interactive fuzzy satisficing method for multiobjective 0-1
programming problems with fuzzy numbers through genetic algorithms with double strings. European
Journal of Operational Research, 107(3):564–574, 16. June 1998. ga98aMasatoshiSakawa.
ˇ
[475] Sonja Novkovic and Davor Sverko.
The minimal deceptive problem revisited: the role of “genetic waste”.
Computers & Operations Research, 25(11):895–911, November 1998. ga98aNovkovic.
[476] Peng Tian, Jian Ma, and Dong-Mo Zhang. Non-linear integer programming by Darwin and Boltzmann
mixed strategy. European Journal of Operational Research, 105(1):224–235, 1998. ga98aPengTian.
[477] Henri Pierreval and Marie-France Plaquin. An evolutionary approach of multicriteria manufacturing cell
formation. International Transactions in Operational Research, 5(1):13–25, January 1998. ga98aPierreval.
70
Genetic algorithms in operations research
[478] Marie-Claude Portmann, A Vignier, D. Dardilhac, and D. Dezaley. Branch and bound crossed with
GA to solve hybrid flowshops. European Journal of Operational Research, 107(2):389–400, 1. June 1998.
ga98aPortmann.
[479] David Sinriech and Abekasis Meir. Process selection and tool assignment in automated cellular manufacturing using genetic algorithms. Annals of Operations Research, 77(?):51–78, ? 1998. †toc ga98aSinriech.
[480] C. Sriskandarajah, A. K. S. Jardine, and C. K. Chan. Maintenance scheduling of rolling stock using
a genetic algorithm. Journal of the Operational Research Society, 49(11):1130–1145, November 1998.
ga98aSriskandarajah.
[481] A. Stafylopatis and K. Blekas. Autonomous vehicle navigation using evolutionary reinforcement learning.
European Journal of Operational Research, 108(2):306–318, 16. July 1998. ga98aStafylopatis.
[482] Yong Ju Kim, Yeo Keun Kim, and Yongkyun Cho. A heuristic-based genetic algorithm for workload smoothing in assembly lines. Computers & Operations Research, 25(2):99–111, February 1998.
ga98aYongJuKim.
[483] Nicolas Abboud, Masahiro Inuiguchi, Masatoshi Sakawa, and Yoshio Uemura. Manpower allocation using genetic annealing. European Journal of Operational Research, 111(2):405–420, 1. December 1998.
ga98bNAbboud.
[484] Andrea Lodi, Kim Allemand, and Thomas M. Liebling. An evolutionary heuristics for quadratic
0-1 programming. European Journal of Operational Research, 119(3):662–670, 16. December 1999.
ga99aAndreaLodi.
[485] Farhad Azadivar and George H. Tompkins. Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach. European Journal of Operational Research, 113(1):169–
182, 16. February 1999. ga99aAzadivar.
[486] Dequan Liu and Hongfei Teng. An improved BL-algorithm for genetic algorithm of the orthogonal packing
of rectangles. European Journal of Operational Research, 112(2):413–420, 1999. ga99aDequaLiu.
[487] Dequan Liu and Hongfei Teng. An improved BL-algorithm for genetic algorithm of the orthogonal
packing of rectangles. European Journal of Operational Research, 112(2):413–420, 16. January 1999.
ga99aDequanLiu.
[488] Safaai Deris, Sigeru Omatu, Hiroshi Ohta, Lt. Cdr Shaharudin Kutar, and Pathiah Abd Samat. Ship maintenance scheduling by genetic algorithm and constraint-based reasoning. European Journal of Operational
Research, 112(3):489–502, 1. February 1999. ga99aDeris.
[489] Erhan Kozan and Peter Preston. Genetic algorithms to schedule container transfers at multimodal terminals. International Transactions in Operational Research, 6(3):311–329, May 1999. ga99aEKozan.
[490] Fred F. Easton and Nashat Mansour. A distributed genetic algorithm for deterministic and stochastic
labor scheduling problems. European Journal of Operational Research, 118(3):505–523, 1. November 1999.
ga99aEaston.
[491] Gengui Zhou and Mitsuo Gen. Genetic algorithm approach on multi-criteria minimum spanning tree
problem. European Journal of Operational Research, 114(1):141–152, 1. April 1999. ga99aGenguiZhou.
[492] J.-M. Yeh, C. Lin, B. Kreng, and J.-Y. Gee. A modified procedure for synthesising ratio judgements in
the analytic hierarchy process. Journal of the Operational Research Society, 50(8):867–873, August 1999.
ga99aJ-MYeh.
[493] Ji-Hui Zhang and Xin-He Xu. An efficient evolutionary programming algorithm. Computers & Operations
Research, 26(7):645–663, June 1999. ga99aJi-HuiZhang.
¨
[494] Ralf Ostermark.
Solving a nonlinear non-convex trim loss problem with a genetic hybrid algorithm.
Computers & Operations Research, 26(6):623–635, May 1999. ga99aOstermark.
[495] Ph. Preux and E.-G. Talbi. Towards hybrid evolutionary algorithms. International Transactions in Operational Research, 6(6):557–570, November 1999. ga99aPhPreux.
[496] Randall S. Sexton, Robert E. Dorsey, and John D. Johnson. Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing. European Journal of Operational Research,
114(3):589–601, 1. May 1999. ga99aSexton.
[497] Y.-F. Hung, C.-C. Shih, and C.-P. Chen. Evolutionary algorithms for production planning problems with
setup decisions. Journal of the Operational Research Society, 50(8):857–866, August 1999. ga99aY-FHung.
[498] Bennett L. Fox. Integrating and accelerating tabu search, simulated annealing, and genetic algorithms. Annals of Operations Research, 41(1-4):47–67, 1993. * IAOR 53528/93 CCA 42769/93 ACM/93 ga:BLFox93a.
Bibliography
71
[499] T. B. Boffey and P. Saeidi. A parallel branch-and-bounf method for a network design problem. Belgium
Journal of Operations Research, Statistics and Computer Science, 32(1):69–83, 1992. * IAOR 53091/93
ga:Boffey92a.
[500] Christopher L. Huntley and Donald E. Brown. Parallel heuristics for quadratic assignment problems.
Computers & Operations Research, 18(3):275–289, 1991. * ga:DEBrown91b.
[501] David E. Glover and Harvey J. Greenberg. New approaches for heuristic search: A bilateral linkage with artificial intelligence. European Journal of Operations Research, 39(2):119–130, March 1989. ga:DEGlover89a.
[502] Emanuel Falkenauer. The grouping genetic algorithms – widening the scope of the GAs. Belgian Journal of Operations Research, Statistics and Computer Science, 33(1,2):79–102, 1993. †GAdigest.v8n13
ga:Falkenauer93d.
[503] K. von Falkenhausen. Optimierung regionaler Entsorgungssysteme mit der Evolutionsstrategie. Proceedings
in Operations Research, 9:46–51, 1980. †[1777] ga:Falkenhausen80.
[504] A. Kapsalis, Vic J. Rayward-Smith, and George D. Smith. Solving the graphical Steiner tree problem
using genetic algorithms. Journal of the Operational Research Society, 44(4):397–406, April 1993. * IAOR
53489/93 ga:GDSmith93c.
[505] B. Govaerts and Rubal P. Sanchez. Construction of exact D-optimal designs for linear regression models using genetic algorithms. Belgian Journal of Operations Research, Statistics and Computer Science,
32(1):153–174, 1992. * IAOR 53120/93 ga:Govaerts92a.
[506] C. M. Hosage and M. F. Goodchild. Discrete space location-allocation solutions from genetic algorithms.
Annals of Operations Research, 6(?):35–46, 1986. † ga:Hosage86.
[507] J. N. D. Gupta and C. N. Potts. Editorial. European Journal of Operations Research, 70(3):269–271,
November 1993. ga:JNDGupta93a.
[508] Sami Khuri and A. Baterekh. Genetic algorithms and discrete optimization. Methods of Operations
Research, 64:133–142, 1991. †Fogel/bib ga:Khuri91a.
[509] Gregory Levitin and J. Rubinovitz. Genetic algorithm for linear and cyclic assignment problem. Computers
& Operations Research, 20(6):575–585, August 1993. ga:Levitin93a.
[510] Gunar E. Liepins and M. R. Hilliard. Genetic algorithms: Foundations and applications. Annals of
Operations Research, 21(1-4):31–58, November 1989. * IAOR 45236/90 ga:Liepins89c.
[511] Mahesh C. Gupta, Yash P. Gupta, and Anup Kumar. Minimizing flow time variance in a single machine
system using genetic algorithm. European Journal of Operations Research, 70(3):289–303, November 1993.
ga:MCGupta93a.
[512] Ingo Rechenberg. Probleml¨
osungen mit Evolutionsstrategien. Proceedings in Operations Research, 9(?):499,
1980. †[?] ga:Rechenberg80a.
[513] Hans-Paul Schwefel. Evolution strategies: A family of non-linear optimization techniques based on imitating some principles of organic evolution. Annals of Operations Research, 1:165–167, 1984. ga:Schwefel84a.
[514] Marius Sinclair. Comparison of the performance of modern heuristics for combinatorial optimization on
real data. Computers & Operations Research, 20(7):687–695, September 1993. ga:Sinclair93a.
[515] Kar Yan Tam. Genetic algorithms, function optimization, and facility design. European Journal of Operational Research, 63(2):322–346, December 1992. ga:Tam92a.
[516] U. Petersohn, K. Voss, and K. H. Weber. Genetische Adaptation – ein stochastisches Suchverfahren f¨
ur
diskrete Optimierungsprobleme. Matematische Operationsforschung und Statistik, 5(7,8):555–571, 1974.
†Back/bib/unp ga:Weber74.
[517] Anura H. de Silva. Operations research in facility planning: Introduction to the special issue. European
Journal of Operational Research, 63(2):135–140, 1992. ga:deSilva92.
[518] Honghong Yang and Zhiming Wu. GA-based integrated approach to FMS part type selection and machineloading problem. International Journal of Production Research, 40(16):4093–4110, 10. November 2002.
ga02aHonghongYang.
[519] J. K. Cochran and Hung-Nan Chen. Generating daily production plans for complex manufacturing facilities
using multi-objective genetic algorithms. International Journal of Production Research, 40(16):4147–4167,
10. November 2002. ga02aJKCochran.
[520] Helmut Boll. Evolution¨
are Verfahren zur Optimierung von Productionspl¨
anen mittels impliziter Kooperation. PhD thesis, Rheinische-Westf¨
alischen Technischen Hochschule Aachen, 2003.
* Google
ga03aHelmutBoll.
72
Genetic algorithms in operations research
[521] Kazuro Hamada, Toshimitsu Baba, Ken’ichi Sato, and Masanao Yufu. Hybridizing a genetic algorithm
with rule-based reasoning for product planning. IEEE Expert, 10(5):60–66, October 1995. ga95aHamada.
[522] Hsi-Mei Hsu and Hang-Chang Wu. Genetic-based fuzzy aggregate production planning model. In ?, editor,
Proceedings of the International Joint Conference of CFSA/IFIS/SOFT ‘95 on Fuzzy Theory and Applications, pages 350–355, Taipei, Taiwan, 7.-9. December 1995. World Scientific, Singapore. * CCA87573/96
ga95bH-MHsu.
[523] D. J. Stockton and L. Quinn. Aggregate production planning using genetic algorithms. Proc Inst Mech
Eng Part B J Eng Manuf, 209(B3):201–209, 1995. †EI M150998/95 ga95bStockton.
[524] Dingwei Wang and S.-C. Fang. A semi-infinite programming model for earliness/tardiness production
planning with a genetic algorithm. Computers & Mathematics with Applications, 31(8):95–106, 1996.
ga96aDWang.
[525] A. C. Garavelli, O. G. Okogbaa, and N. Violante. Global manufacturing systems: a model supported by
genetic algorithms to optimize production planning. Computers & Industrial Engineering, 31(1-2):193–196,
1996. †CCA93803/96 ga96bGaravell.
[526] K. S. Al-Sultan and C. A. Fedjki. A genetic algorithm for the part family formation problem. Prod. Plan.
Control (UK), 8(8):788–796, 1997. †CCA1431/98 ga97aAl-Sultan.
[527] Dingwei Wang and Shu-Cherng Fang. A genetics-based approach for aggregated production planning
in a fuzzy environment. IEEE Transactions on Systems, Man, and Cybernetics A, Systems Humans,
27(5):636–645, 1997. †CCA80124/97 ga97aDingWang.
[528] Emanuel Falkenauer. A grouping genetic algorithm for line balancing with resource dependent task times.
In Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent
Information Systems, volume 1, pages 464–468, Dunedin (New Zealand), 24.-28. November 1997. SpringerVerlag, Singapore. †CCA75859/98 ga97aFalkenauer.
[529] K. L. Mak and Y. S. Wong. A genetic approach to Kanban assignment problems. J. Inf. Optimization
Sci. (India), 18(3):359–381, 1997. †CCA26594/97 ga97aKLMak.
[530] N. Morad and A. M. S. Zalzala. Integrated production planning and scheduling in cellular manufacturing
using genetic algorithms. In Proceedings of the Second International Conference on Genetic Algorithms in
Engineering Systems: Innovations and Applications, pages 332–338, Glasgow, UK, 2.-4. September 1997.
IEE, London. †CCA1541/98 ga97aNMorad.
[531] U. Stache. Genetic algorithms applied to production planning tasks. Ind. Manag. (Germany), 13(4):38–40,
1997. In -german †CCA1501/98 ga97aUStache.
[532] Hidehiko Yamamoto. One-by-one production planning by knowlwdge recived-type simulator with GA.
Nippon Kikai Gakkai Ronbunshu C Hen, 63(609):1803–1810, 1997. †EI M156574/98 ga97aYamamoto.
[533] N. Morad and A. M. S. Zalzala. Integrated production planning and scheduling in cellular manufacturing
using genetic algorithms. In Proceedings of the Second International Conference on Genetic Algorithms in
Engineering Systems: Innovations and Applications, pages 332–338, Glasgow (UK), 2.-4. September 1997.
IEE, London (UK). †CCA1541/98 ga97bNMorad.
[534] Chih-Ming Hsu and Chao-Ton Su. Multi-objective machine-component grouping in cellular manufacturing:
a genetic algorithm. Prod. Plan. Control (UK), 9(2):155–166, 1998. †CCA26644/98 ga98aChih-MingHsu.
[535] Y. Li, W.H. Ip, and D. W. Wang. Genetic algorithm approach to earliness and tardiness production
scheduling and planning problem. Int. J. Prod. Econ. (Netherlands), 54(1):65–76, 1998. †CCA19038/98
ga98aYLi.
[536] E. Sch¨
oneburg and F. Heinzmann. Perplex: Produktionsplanung nach dem Vorbild der Evolution.
Wirtschaftsinformatik, 34(2):224–232, April 1992. ga:Heinzmann92a.
[537] Philip Husbands. An ecosystems model for integrated production planning. International Journal on
Computer Integrated Manufacturing, 6(1&2):74–86, 1993. †Back/bib/unp ga:Husbands93a.
[538] M. Haupt. Computer-assisted optimization of working points in plastics processing. Technical report,
RWTH Aachen, Institut f¨
ur Kuststoffverarbeitung, 1988. †[6] ga:MHaupt88a.
[539] Christian Blume and Wilfried Jakob. Produktionsplanung und -optimierung durch Simulation, genetische
Algorithmen und Parallelisierung. In ?, editor, Proceedings of the 8th Symposium Simulationstechnik of the
AG Simulation in der GI-ASIM, page ?, Berlin, 28.-30. September 1993. ? †refereed article ga:WJakob93a.
[540] Peter Merz and Bernd Freisleben. Fitness landscape analysis and memetic algorithms for the quadric
assignment problem. IEEE Transactions on Evolutionary Computation, 4(4):337–352, November 2000.
ga00aPMerz.
Bibliography
73
[541] Daniel Merkle and Martin Middendorf. Fast ant colony optimization on runtime reconfigurable processor
array. Genetic Programming and Evolvable Machines, 3(4):345–361, December 2002. ga02aDanielMerkle.
[542] T. Drezner and Z. Drezner. Gender-specific genetic algorithms. INFOR, 44(2):117–127, May 2006. * ISI
ga06aTDrezner.
[543] Søren Holm. An optimum-convergent algorithm embedding a computational guidance rule for heuristics which solve combinatorial problems. Research Report 94-4, The Aarhus School of Business, 1994.
ga94aHolm.
[544] Percy P. C. Yip and Yoh-Han Pao. A guided evolutionary simulated annealing approach to the quadratic
assignment problem. IEEE Transactions on Systems, Man, and Cybernetics, 24(9):1383–1387, September
1994. ga94aYip.
[545] Volker Nissen. Solving the quadratic assignment problem with clues from nature. IEEE Transactions on
Neural Networks, 5(1):66–72, January 1994. †toc ga94bNissen.
[546] H. Delmaire, A. Langevin, and D. Riopel. Evolution systems and the quadratic assignment problem.
´
Report G-95-24, Universit´e McGill, Ecole
Polytechnique, GERAD, 1995. * GERAD report cataloque
ga95aDelmaire.
[547] J. Hines, J. T. Thorpe, K. B. Winiecki, and F. C. Harris. Solving quadratic assignment problems with
parallel genetic algorithms. In Proceedings of the ISCA International Conference, Fourth Golden West
Conference on Intelligent Systems, pages 11–15, San Francisco, CA, 12.-14. June 1995. Int. Soc.Comut. &
Their Appl.-ISCA, Raleight, NC. †CCA91298/95 ga95bHines.
[548] Vincent Bachelet, Philippe Preux, and El-Ghazali Talbi. Parallel hybrid meta-heuristics: Application
to the quadratic assignment problem. In ?, editor, Proceedings of the Parallel Optimization Colloquium,
volume ?, page ?, Versailles (France), March 1996. ? †[124] ga96aBachelet.
[549] Lae-Jeong Park and Cheol Hoon Park. A fusion technique of GA and SA and its application to QAPs. In
Proceedings of the International Conference On Neural Information Processing, volume 2, pages 838–842,
Hong Kong, 24.-27. September 1996. Springer-Verlag, Singapore. †EEA21115/97 ga96aL-JPark.
[550] Van-Dat Cung, T. Mautor, P. Michelon, and A. Tavares. A scatter search based approach for the quadratic
assignment problem. In Proceedings of 1997 International Conference on Evolutionary Computation, pages
165–169, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA44456/97 ga97aV-DCung.
[551] Volker Nissen. Ch. g9.10 quadratic assignment. pages G9.10:1–8. 1997. ga97aVNissen.
[552] D. Theil. A genetic algorithm for solving the quadratic assignment problem: comparison with the simulated
annealing. RAIRO-APII-JESA J. Eur. Syst. Autom. (France), 31(9-10):1541–1564, 1998. †CCA67131/98
ga98aDTheil.
[553] P. Merz and B. Freisleben. A comparison of memetic algorithms, tabu search, and ant colonies for the
quadratic assignment problem. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,
volume 3, pages 2063–2070, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77261/99
ga99aPMerz.
[554] Vittorio Maniezzo and Alberto Colorni. The ant system applied to the quadratic assignment problem. IEEE Transactions on Knowledge and Data Engineering, 11(5):769–778, September/October 1999.
ga99bManiezzo.
[555] Thang Nguyen Bui and Byung Ro Moon. Genetic algorithms for a special class of the quadratic assignment
problem. In Panos Pardalos and Henry Wolkowicz, editors, Proceedings of the Workshop on Quadratic
Assignment Problems, page ?, ?, 20.-21. May 1993. DIMACS. (to appear) †Opt-Net 6.93 ga:Bui93b.
[556] Donald E. Brown, Christopher L. Huntley, and Andrew R. Spillane. A parallel genetic heuristic for the
quadratic assignment problem. In Schaffer [1781], pages 406–415. ga:DEBrown89.
[557] I. De Falco, R. Del Balio, and E. Tarantino. Testing parallel evolution strategies on the quadratic assignment problem. In 1993, International Conference on Systems, Man and Cybernetics, volume 5, pages
254–259, Le Touquet (France), 17.-20. October 1993. IEEE, New York. ga:DeFalco93b.
[558] Charles Fleurent and Jacques A. Ferland. Genetic hybrids for the QAP. In Panos Pardalos and Henry
Wolkowicz, editors, Proceedings of the Workshop on Quadratic Assignment Problems, page ?, ?, 20.-21. May
1993. DIMACS. (to appear) †Opt-Net 6.93 ga:Ferland93a.
[559] Eric Fontain. Application of genetic algorithms in the field of constitutional similarity. Journal of Chemical
Information and Computer Sciences, 32(6):748–752, 1992. (May 1992 Workshop on Similarity in Organic
Chemistry) ga:Fontain92b.
74
Genetic algorithms in operations research
[560] Vittorio Maniezzo. The rudes and the shrewds: an experimental comparison of several evolutionary
heuristics applied to the QAP problem. Technical Report 91-042, Politecnico di Milano, Dipartimento di
Elettronica, 1991. ga:Maniezzo91a.
[561] Alberto Colorni, Marco Dorigo, and Vittorio Maniezzo. Algodesk: an experimental comparison of eight
evolutionary heuristics applied to the QAP problem. Technical Report 92-052, Politecnico di Milano,
Dipartimento di Elettronica, 1992. ga:Maniezzo92a.
[562] Volker Nissen. Evolutionary algorithms for the quadratic assignment problem. Technical report, Universit¨
at
G¨
ottingen, Institut f¨
ur Wirtschaftsinformatik, 1992. †Back/bib ga:Nissen92a.
[563] T. Li and J. Mashford. A parallel genetic algorithm for quadratic assignment. In R. A. Ammar, editor,
Proceedings of the ISMM International Conference. Parallel and Distributed Computing and Systems, pages
391–394, New York, 10.-12. October 1990. Acta Press, Anaheim, CA. †CCA 33297/93 ga:TLi90a.
[564] Yong Li. Heuristic and exact algorithms for the quadratic assignment problem. PhD thesis, The Pennsylvania State University, 1992. * DAI 53/12 ga:YLiThesis.
[565] Claudio M. Rocco, A. J. Miller, Jose Al´ı Moreno, N´estor Carrasquero, and M. Medina. A hybrid approach
for robust design of reliability systems based on cellular evolutionary strategies and interval arithmetic
techniques. In M. P. Cottam, R. P. Pape, and D. W. Harvey, editors, Conference on Foresight and
Precaution, volume 1-2, pages 1583–188, Edinburgh, Scotland, 15.-17.May 2000. A a Balkema, Rotterdam.
†P89831 ga00aCMRocco.
[566] David W. Corne, Martin J. Oates, and George D. Smith, editors. Telecommunications Optimization:
Heuristic and Adaptive Techniques. John Wiley & Sons, 2000. †Brochure/Corne ga00aDavidCorne.
[567] Gregory Levitin. Multistate series-parallel system expansion-scheduling subject to availability constraints.
IEEE Transactions on Reliability, 49(1):71–79, March 2000. ga00aGLevitin.
[568] Gregory Levitin, Anatoly Lisnianski, Hanoch Ben Haim, and David Elmakis. Genetic algorithm and
universal generating function technique for solving problems of power system reliability optimization.
In Loi Lei Lai, editor, Proceedings of the International Conference on Electric Utility Deregulation and
Restructuring and Power Technologies (DRPT2000), pages 582–586, London, UK, 4.-7. April 2000. IEEE.
ga00aLevitin.
[569] Claudio M. Rocco, A. J. Miller, Jose Al´ı Moreno, and N´estor Carrasquero. A cellular evolutionary approach applied to reliability optimization of complex systems. In Proceedings of the Annual Reliability
and Maintainebility Symposium, pages 210–215, Los Angeles, CA, 24.-27. January 2000. IEEE Reliability
Society. ga00bCMRocco.
[570] M. Marseguerra and E. Zio. System design optimization by genetic algorithms. In Proceedings of the
Annual Reliability and Maintainebility Symposium, pages 222–227, Los Angeles, CA, 24.-27. January 2000.
IEEE Reliability Society. ga00bMMarseguerra.
[571] Gregory Levitin. Redundancy optimization for multi-state system with fixed resource-requirements and
unreliable sources. IEEE Transactions on Reliability, 50(1):52–59, March 2001. ga01aGLevitin.
[572] Gregory Levitin and L. Meizin. Structure optimization for continuous production systems with buffers
under reliability constraints. International Journal of Production Economics, 70(1):77–87, 3. March 2001.
ga01aGregoryLevitin.
[573] David W. Coit and Alice E. Smith. Genetic algorithm to maximize a lower-bound for system time-tofailure with uncertain component Weibull parameters. Computers & Industrial Engineering, 41(4):423–440,
February 2002. †www /Elsevier ga02aDWCoit.
[574] Q.-Y. Zhang, L. Wang, and D. Sun. The application of an improved genetic algorithm in computing
structural reliability of SRM. Journal of Solid Rocket Technology, 25(2):13–17, June 2002. (in Chinese) *
A02-42365 ga02aQ-YZhang.
[575] Anatoly Lisnianski and Gregory Levitin. Multi-State System Reliability, volume 6 of Quality, Reliability
and Engineering Statistics. World Scientific, Singapore, 2003. †mail /Levitin ga03aALisnianski.
[576] Marzio Marseguerra, Enrico Zio, and Maurizio Cipollone. Designing optimal degradation tests via multiobjective genetic algorithm. Reliability Engineering & System Safety, 79(1):87–94, 1. January 2003.
ga03aMarzioMarseguerra.
[577] Scott Andrew Burton. Issues of computational efficiency in reliability-based structural optimization. PhD
thesis, Rensselaer Polytechnic Institute, 2003. * www /DAI-B 64/04 ga03aSABurton.
Bibliography
75
[578] Rajan Filomeno Coelho and Philippe Bouillard.
Multi-objective reliability-based optimization
with stochastic metamodels.
Evolutionary Computation, 19(4):525–560, 2011.
†PubMed
ga11aRajanFilomenoCoelho ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21281119.
[579] S. Gopalakrishnan, M. Ruzzene, and S. Hanagud. Computational Techniques for Structural Health Monitoring. Springer, Berlin, 2011. †ISI ga11aSGopalakrishnan.
[580] Hossein Zoulfaghari, Ali Zeina Hamadani, and Mostafa Aboue Ardakan. Bi-objective redundancy allocation
problem for a system with mixed repairable and non-repairable components. ISA Transactions, 53(1):17–
24, January 2014. †PubMed ga14aHosseinZoulfaghari ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23998944.
[581] K. Ida, Mitsuo Gen, and Takao Yokota. System reliability optimization with several failure modes by
genetic algorithm. In Proceedings of the 16th International Conference on Computer and Industrial Engineering, pages 349–352, ? 1994. †Levitin/bib ga94aKIda.
[582] Sanjay P. Ahuja and Anup Kumar. A genetic algorithm approach for performance based reliability enhancement of distributed systems. In ?, editor, Proceedings of the Seventh International Conference on
parallel and Distributed Computing Systems, pages 664–669, Las Vegas, NV, 6.-8. October 1994. International Society of Computers and Their Applications (ISCA), Raleigh, NC. †CCA48759/96 ga94bAhuja.
[583] Gregory Levitin and S. Mazal Tov. Influence of structural properties of electrical distribution systems
with sectionalizers on energy supply reliability. In Proceedings of the Tenth International Conference
of the Israel Society for Quality, volume I, page 296, Jerusalem (Israel), 14.-17. November 1994. ISAS
International Seminars, Jerusalem (Israel). ga94bLevitin.
[584] Laura Painton and James Campbell. Genetic algorithms in optimization of system reliability. IEEE
Transactions on Reliability, 44(2):172–178, June 1995. ga95aPainton.
[585] Hee-Soo Hwang and Gil-Sang Kim. Reliability optimization of communication network in train control
systems via gas. Trans. Korean Inst. Electr. Eng. (South Korea), 44(4):535–542, 1995. †EEA90197/95
ga95bHwang.
[586] T. Minohara and Y. Tohma. Parameter estimation of hyper-geometric distribution software reliability
growth model by genetic algorithms. In Proceedings of the Sixth International Symposium on Software
Reliability During Test, pages 324–329, Toulouse, France, 24.-27. October 1995. IEEE Computer Society
Press, Los Alamitos , CA. †CCA39304/96 ga95bMinohara.
[587] T. Yokota, M. Gen, and K. Ida. System reliability optimization problems with several failure modes by
genetic algorithm. Jpn. J. Fuzzy Theory Syst. (USA), 7(1):119–132, 1995. †CCA507/96 ga95bTYokota.
[588] Anup Kumar, Rakesh M. Pathak, and Yash P. Gupta. Genetic-algorithm-based reliability optimization for
computer network expansion. IEEE Transactions on Reliability, 44(1):63–72, March 1995. ga95cKumar.
[589] M. Sasaki, T. Yokata, and M. Gen. A method for solving fuzzy optimal reliability design problem by genetic
algorithm. Jpn. J. Fuzzy Theory Syst. (USA), 7(5):681–694, ? 1995. * CCA 69328/96 ga95cSasaki.
[590] T. Yokota, M. Gen, K. Ida, and T. Taguchi. Optimal design of system reliability by modified genetic
algorithm. Transactions of the Institute of Electronics, Information, and Communication Engineers A
(Japan), J78-A(6):702–709, 1995. (in Japanese) †CCA60463/95 ga95cTYokota.
[591] David W. Coit and Alice E. Smith. Reliability optimization of series-parallel systems using a genetic
algorithm. IEEE Transactions on Reliability, 45(2):254–260, June 1996. ga96aCoit.
[592] Youbing Wang, Hao Sun, and Lishan Kang. The applications of evolutionary computation in software
reliability. Wuhan Univ. J. Nat. Sci. (China), 1(3-4):645–650, 1996. †CCA30215/98 ga96aYoubingWang.
[593] James E. Campbell and Laura A. Painton. Optimization of reliability allocation strategies through use of
genetic algorithms. In Proceedings of the 6th AIAA, NASA, and ISSMO, Symposium on Multidisciplinary
Analysis and Optimization, pages 1233–1242, Bellevue, WA, 4.-6. September 1996. American Institute of
Aeronautics and Astronautics, Reston, VA. †A96-38832 ga96bCampbell.
[594] David W. Coit and Alice E. Smith. Penalty guided genetic search for reliability-design optimization.
Computers & Industrial Engineering, 30(4):895–904, ? 1996. (Proceedings of the 16th Annual Conference
on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar. 1994) †P69502 ga96bCoit.
[595] Anatoly Lisnianski, Gregory Levitin, Hanoch Ben-Haim, and David Elmakis. Power system structure
optimization subject to reliability constraints. Electric Power Systems Research, 39(?):145–152, ? 1996.
ga96bLisnianski.
76
Genetic algorithms in operations research
[596] Mitsuo Gen and Runwei Cheng. Optimal design of system reliability using interval programming and
genetic algorithms. Computers & Industrial Engineering, 31(1-2):237–240, 1996.
†EEA103699/96
ga96bMGen.
[597] Seong-Ho Han, Seong Jeong Rim, and Jae-Chul Kim. An optimum reliability evaluation for distribution
systems with the application of genetic algorithm. Transactions of the Korean Institute of Electrical
Engineers (South Korea), 45(5):617–624, 1996. (In Korean) †EEA 102104/96 ga96bS-HHan.
[598] Takao Yokota and Mitsuo Gen. A method for interval optimal design of system reliability with incomplete FDS by improved genetic algorithms. Transactions of the Institute of Electronics, Information, and
Communication Engineers A (Japan), J79-A(3):471–476, 1996. In Japanese †CCA34425/96 ga96bYokota.
[599] Takao Yokota and Mitsuo Gen. A method for solving system reliability design problem with interval
coefficients using genetic algorithm. Journal of Japan Society for Fuzzy Theory and systems, 8(2):?–387, ?
1996. (in Japanese; abstract in English) * Tanaka ga96cYokota.
[600] Takao Yokota, Mitsuo Gen, K. Ida, and T. Taguchi. Optimal design of system reliability by an improved genetic algorithm. Electron. Commun. Jpn. 3, Fundam. Electron. Sci. (USA), 79(2):41–51, 1996.
†CCA69324/96 ga96dYokota.
[601] Takao Yokota and M. Gen. A method for solving system reliability design problems with interval coefficients using genetic algorithms. Jpn. J. Fuzzy Theory Syst. (USA), 8(2):325–341, 1996. †CCA71423/97
ga96fTakaoYokota.
[602] A. Munoz, S. Martorell, and V. Serdarell. Genetic algorithms in optimizing surveillance and maintenance
of components. Reliability Engineering & System Safety, 57-2:107–120, 1997. †Levitin/bib ga97aAMunoz.
[603] Darren L. Deeter and Alice E. Smith. Heuristic optimization of network design considering all-terminal
reliability. In Proceedings of the IEEE Annual Reliability and Maintainability Symposium, pages 194–
199, Philadelphia, PA, 13.-16. January 1997. Institute of Electrical and Electronics Engineers, New York.
†A97-23576 ga97aDeeter.
[604] Berna Dengiz, Fulya Altiparmak, and Alice E. Smith. Efficient optimization of all-terminal reliable networks, using an evolutionary approach. IEEE Transactions on Reliability, 46(1):18–26, March 1997.
ga97aDengiz.
[605] R. Hochman, T. M. Khoshgoftaar, E. B. Allen, and J. P. Hudepohl. Evolutionary neural networks: a
robust approach to software reliability problems. In Proceedings of the Eighth International Symposium on
Software Reliability Engineering, volume ?, pages 13–26, Albuquerque, NM, 2.-5. November 1997. IEEE
Computer Society Press, Los Alamitos, CA. †CCA5146/98 ga97aHochman.
[606] Gregory Levitin, Anatoly Lisnianski, and David Elmakis. Structure optimization of power system with
different redundant elements. Electric Power Systems Research, 43(?):19–27, October 1997. ga97aLevitin.
[607] V. Ramachandran, V. Sivakumar, K. Sathiyanarayanan, and S. Chandrasekaran. Genetics based redundancy optimization. Microelectron Reliab, 37(4):661–663, 1997. †EI M082683/97 ga97aRamachandran.
[608] Reuven Y. Rubinstein, Gregory Levitin, Anatoly Lisnianski, and Hanoch Ben-Haim. Redundancy optimization of static series-parallel reliability models under uncertainty. IEEE Transactions on Reliability,
46(4):503–511, December 1997. ga97aRubinstein.
[609] Subba Rao V. Majety and Jayant Rajgopal. Dynamic penalty function for evolutionary algorithms with an
application to reliability allocation. In Proceedings of the 6th Annual Industrial Engineering Research Conference, pages 36–41, Miami Beach, FL, 17.-18. May 1997. IIE, Norcross. †EI M020843/98 ga97aSRMajety.
[610] A. Thompson. Evolving inherently fault-tolerant systems. Pric. Inst. Mech. Eng. I, J. Syst. Control Eng.
(UK), 211(I5):365–371, 1997. †CCA20199/98 ga97aThompson.
[611] Wen Xu, Dazhong Wang, Zecun Zhou, and Heng Chen. Application of artificial neural network combined by
genetic algorithm in fault diagnosis of power transformer. Zhongguo Dianji Gongcheng Xuebao, 17(2):109–
112, 1997. †EI M174039/97 ga97aWenXu.
[612] B. Dengiz, F. Altiparmak, and Alice E. Smith. Genetic algorithm design of networks considering allterminal reliability. In Proceedings of the 6th Industrial Engineering Research Conference, pages 30–35,
Miami Beach, FL, 17.-18. May 1997. Inst. Ind. Eng., Norcross, GA, USA. †CCA74689/97 ga97bDengiz.
[613] V. Ramachandran, J. Kannan, K. Sathiyanarayanan, and V. Sivakumar. Optimal replacement strategies - genetic algorithms approach. Microelectron Reliab, 37(4):665–667, 1997.
†EI M082684/97
ga97bRamachandran.
Bibliography
77
[614] B. Dengiz, F. Altiparmak, and A. E. Smith. Local search genetic algorithm for optimal design of reliable networks. IEEE Transactions on Evolutionary Computation, 1(3):179–188, 1997. †EEA39675/98
ga97cBDengiz.
[615] J. D. Andrews and L. M. Bartlett. Efficient basic event orderings for binary decision diagrams. In
Proceedings of the Annual Reliability and Maintainability Symposium, pages 61–68, Anaheim, CA, 19.22. January 1998. Institute of Electrical and Electronics Engineers, New York. †A98-20451 ga98aAndrews.
[616] D. Coit and A. Smith. Redundancy allocation to maximize a lower percentile of the system time-to-failure
distribution. IEEE Trans. Reliability, 47(1):79–87, 1998. †Levitin/bib ga98aDCoit.
[617] D. Deeter and A. Smith. Economic design of reliable networks. IIE Transactions, (30):1161–1174, 1998.
†Levitin/bib ga98aDDeeter.
[618] Y. Fujimoto, S. Kim, K. Hamada, and F. Huang. Inspection planning using genetic algorithm for fatigue
deteriorating structure. In Proceedings of the 8th International Offshore and Polar Engineering Conference,
volume 4, pages 461–468, Montreal, Que (Canada), ? 1998. †Levitin/bib ga98aFujimoto.
[619] R. Chen, C. Chu, and Y. Yeh. A genetic algorithm for the reliability optimization of a distributed system.
In Proceedings of the 9th International Workshop on Database and Expert Systems Applications, pages
484–489, Vienna, ? 1998. †Levitin/bib ga98aRChen.
[620] Sheng-Tzong Cheng. Topological optimization of a reliable communication network. IEEE Transactions
on Reliability, 47(3):225–233, September 1998. ga98aS-TCheng.
[621] S. Cheng. Topological optimization of a reliable communication network. IEEE Trans. Reliability, 47(3):23–
31, 1998. †Levitin/bib ga98aSCheng.
[622] Takeaki Taguchi, Takao Yokota, and Mitsuo Gen. Reliability optimal design problem with interval coefficients using hybrid genetic algorithms. Comput. Ind. Eng. (UK), 35(1-2):373–376, 1998. †CCA84124/98
ga98aTTaguchi.
[623] Vladimiro Miranda and L. Miguel Proen¸ca. Probabilistic choice vs. risk analysis - conflicts and synthesis in power system planning. IEEE Transactions on Power Systems, 13(3):1038–1043, August 1998.
ga98aVMiranda.
[624] Y. Hsieh, T. Chen, and D. Bricker. Genetic algorithms for reliability design problems. Microelectronics
and Reliability, 38(10):1599–1605, 1998. †Levitin/bib ga98aYHsieh.
[625] Y. Kohoma, T. Takada, N. Kozawa, and A. Miyamura. Minimum weight design of rigid frames subject to
system reliability by genetic algorithm. In Proceedings of the First International Conference on Engineering
Computational Technology, pages 103–109, Edinburgh, ? 1998. †Levitin/bib ga98aYKohoma.
[626] Y. Ren and J. Dugan. Design of reliable systems using static & dynamic fault trees. IEEE Transactions
on Reliability, 47(3):234–244, 1998. †Levitin/bib ga98aYRen.
[627] Mitsuo Gen and Jong Ryul Kim. Bicriteria reliability design using hybrid genetic algorithm. In Proceedings
of the 6th European Congress on Intelligent Techniques and Soft Computing, volume 1, pages 407–412,
Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen (Germany). †CCA75637/98 ga98bMGen.
[628] Takao Yokota and Mitsuo Gen. Optimal interval design for system reliability with incomplete FDS by
means of improved genetic algorithms. Electron. Commun. Jpn. 2, Electron. (USA), 81(1):84–94, 1998.
†CCA57989/98 ga98bTYokota.
[629] Takeaki Taguchi, Takao Yokota, and Mitsuo Gen. GA-based method for fuzzy optimal design of system
reliability with incomplete FDS. In Proceedings of the Second International Conference on Knowledge-based
Intelligent Electronic Systems, pages 272–277, ? 1998. †Levitin/bib ga98bTaguchi.
[630] Gregory Levitin, Anatoly Lisnianski, Hanoch Ben-Haim, and David Elmakis. Redundancy optimization
for static series-parallel multi-state systems. IEEE Transactions on Reliability, 47(2):165–172, June 1998.
ga98cLevitin.
[631] C. Su and G. Lii. Reliability planning for composite electric power systems. Electric Power Systems
Research, pages 81–87, 1999. †Levitin/bib ga99aCSu.
[632] J. Yang, M. Hwang, T. Sung, and Y. Jin. Application of genetic algorithm for reliability allocation in nuclear
power plant. Reliability Engineering & System Safety, 65(3):229–238, 1999. †Levitin/bib ga99aJYang.
[633] K. Uno and A. Namatame. An evolutionary design of the networks of mutual reliability. In Proceedings of
the 1999 Congress on Evolutionary Computation-CEC99, volume 3, pages 1717–1723, Washington D.C.,
6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77378/99 ga99aKUno.
78
Genetic algorithms in operations research
[634] Mitsuo Gen and J. Kim. GA-based reliability design: state-of-the-art survey. Computers Ind. Engng,
37(1/2):151–155, 1999. †Levitin/bib ga99aMGen.
[635] Mitsuo Gen, Masato Sasaki, and Jong Ryul Kim. Optimal reliability design using hybrid genetic algorithm.
In Proceedings of the Fifteenth International Conference on Production Research, volume 1, pages 783–786,
Limerick, Ireland, 9.-12. August 1999. University of Limerick, Ireland. ga99aMitsuoGen.
[636] S. Shao and Y. Murotsu. Approach to failure mode analysis of large structures. Probabilistic Engineering
Mechanics, 14(1-2):169–177, 1999. †Levitin/bib ga99aSShao.
[637] T. Marcu, L. Ferariu, L. Mirea, and P. M. Frank. Genetic evolving of dynamic neural networks with
application to process fault diagnosis. In Proceedings of the European Control Conference, Karlsruhe,
Germany, 31. August- 3. September 1999. VDI-Verlag. † ga99aTMarcu.
[638] T. Taguchi and T. Yokota. Optimal design problem of system reliability with interval coefficient using improved genetic algorithms. Comput. Ind. Eng. (UK), 37(1-2):145–149, 1999.
†CCA68231/99
ga99aTaguchi.
[639] A. Ratle and D. Ait-Kadi. Evolutionary algorithms for the optimization of reliability in parallel/series
redundant systems. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2,
pages 1164–1170, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78285/99 ga99bARatle.
[640] Mitsuo Gen and Jong Ryul Kim. GA-based reliability design: state-of-the-art survey. Comput. Ind. Eng.
(UK), 37(1-2):151–155, 1999. †CCA68232/99 ga99bMGen.
[641] Ioannis E. Kassotakis, Maria E. Markaki, and Athansios V. Vasilakos. A hybrid genetic approach for
channel reuse in multiple access telecommunication networks. IEEE Journal on Selected Areas in Communications, 18(2):234–243, February 2000. ga00aIEKassotakis.
[642] L. He and N. Mort. Hybrid genetic algorithms for telecommunications network back-up routeing. BT
Technology Journal, 18(4):42–50, October 2000. * ga00aLHe.
[643] Matthew Protonotarios, George Mourkousis, Ioannis Vyridis, and Theodora Varvarigou. Very large scale
vehicle routing with time windows and stochastic demand using genetic algorithms with parallel fitness
evaluation. In M. Bubak, H. Afsarmanesh, R. Williams, and B. Hertzberger, editors, High Performance
Computing and Networking, 8th International Conference, HPCN Europe 2000, volume LNCS of 1823,
pages 467–476, Amsterdam (The Netherlands), May 2000. Springer-Verlag Berlin Heidelberg. * www
/Springer ga00aMProtonotarios.
[644] Ryosuke Fujioka, Masami Konishi, Takami Egawa, and Naoki Take. Route constitution design device for
mobile object, 2000. (JP patent no. 2000066723. Issued March 3 2000) * fi.espacenet.com ga00aRFujioka.
[645] Ren-Hung Hwang, Wei-Yuan Do, and Shyi-Chang Yang. Multicast routing based on genetic algorithms. Journal of Information Science and Engineering, 16(6):885–901, November 2000. * A01-35868
ga00aRen-HungHwang.
[646] Topi Mikkola. Algorithm library for large scale vehicle routing. Master’s thesis, Helsinki University of
Technology, 2000. †www /TKK ga00aTopiMikkola.
[647] Yoshinori Haseyama, Jun Inagaki, and Hideo Kitajima. Optimum route and optimum circulation
route searching method, 2000. (JP patent no. 2000172664. Issued June 23 2000) * fi.espacenet.com
ga00bYHaseyama.
[648] Olli Br¨
aysy. Local Search and Variable Neighborhood Search Algorithms for the Vehicle Routing Problem
with Time Windows. PhD thesis, University of Vaasa, Department of Mathematics, 2001. ga01aBraysy.
[649] John Turner, Jason Mann, and George Smith. Traffic routing in a telecommunications network, 2001. (U.
S. patent no. 6,215,771. Issued April 10 2001) * fi.espacenet.com ga01aJTurner.
[650] Philippe Lacomme, Christian Prins, and Wahiba Ramdane-Ch´erif. A genetic algorithm for the capacitated
arc routing problem and its extensions. In Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E.
Smith, Stefano Cagnoni, Emma Hart, G¨
unther R. Raidl, and Harald Tijink, editors, Applications of
Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM,
volume LNCS of 2037, pages 473–483, Como (Italy), 18.-20. April 2001. Springer-Verlag Berlin Heidelberg.
* www /Springer ga01aPLacomme.
[651] Zhimin Lin. Semi-optimal path finding in a wholly unknown environment, 2001. (WO patent no. 0178951.
Issued October 25 2001) * fi.espacenet.com ga01aZLin.
[652] Olli Br¨
aysy. Genetic algorithms for the vehicle routing problem with time windows. Arpakannus, (1):33–38,
2001. (http://www.uwasa.fi/stes/) ga01bBraysy.
Bibliography
79
[653] Olli Br¨
aysy and Michel Gendreau. Metaheuristics for the vehicle routing problem with time window.
Report STF42 A01025, SINTEF Applied Mathematics, 2001. ga01cBraysy.
[654] Olli Br¨
aysy and Michel Gendreau. Genetic algorithm for the vehicle routing problem with time window.
Report STF42 A01021, SINTEF Applied Mathematics, 2001. ga01dBraysy ⇒ http://www.sintef.no/
static/am/opti/projects/top/Publications/GAVRPTW_Report.pdf.
[655] Bernd Dachwald. Optimization of interplanetary rendezvous trajectories for solar sailcraft using a neurocomputer. In AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Monterey, CA, 5.-8. August
2002. AIAA. AIAA Paper 2002-4989 * A02-38308 ga02aBDachwald.
[656] D. Vergados, C. Anagnostopoulos, I. Anagnostopoulos, J. Soldatos, E. Kayafas, V. Loumos, and
G. Stassinopoulos. Neural networks for routing optimization in wideband networks. pages 173–178, 2002.
ga02aDVergados.
[657] Li-Yang Chiang. A heuristic approach to vehicle routing problem with time window constraints based on
hybrid gentic algorithm. Master’s thesis, University of Bristol, Department of Computer Science, 2002.
ga02aLi-YangChiang ⇒ http://www.cs.bris.ac.uk/Teaching/Resources/COMSM2201/archive/lc1834/
report.pdf.
[658] Mark Thompson, Henrietta Lisk, and Graham Swift. Application and evaluation of evolutionary algorithms
to the effective data routing of an all optical networks. pages 149–154, 2002. ga02aMThompson.
[659] Olatz Arbelaitz Gallego. Soluciones basadas en Simulated Annealing para el VRPTW. PhD thesis, Universidad del Pa´ıs Vasco, Facultad de Infom´
atica, 2002. * www /Google ga02aOAGallego.
[660] Sangheon Han and Yoshio Tabata. A hybrid genetic algorithm for the vehicle routing problem with
controlling lethal gene. Asia Pacific Management Review, 7(3):405–426, ? 2002. ga02aSangheonHan ⇒
http://apmr.management.ncku.edu.tw/comm/updown/DW0904292282.pdf.
[661] William S. Hortos. Genetic routing algorithms to optimize availability in broadband wireless networks
with load balancing. In Kevin L. Priddy, Paul E. Keller, and Peter J. Angeline, editors, Applications and
Science of Computational Intelligence V, volume SPIE-4739, pages 9–27, ?, March 2002. The International
Society for Optical Engineering. * www/SPIE Web ga02aWSHortos.
[662] Jorge Barreiros and Ernesto Costa. Global routing for lookup-table based FPGAs using genetic algorithms.
In P. Y. K. Cheung et al, editor, Proceedings of the FPL’2003,, volume 2778 of Lecture Notes in Computer
Science, pages 141–150, ?, ? 2003. Springer-Verlag, Heidelberg. ga03aJorgeBarreiros ⇒ http://www.
springerlink.com/content/ve2w8at8pgc7fb7e/fulltext.pdf.
[663] Michel Gendreau, Gilbert Laporte, and Jean-Yves Potvin. 9. vehicle routing: modern heuristics. In Emile
H. L. Aarts and Jan Karel Lenstra, editors, Local Search in Combinatorial Optimization, pages 311–336.
Princeton University Press, Princeton, NJ, 2003. (new edition of [?]) †TKKpaa ga03aMichelGendreau.
[664] I. De Miguel, I. Tafur Monroy, and J. C. Gonzalez. Nature-inspired routing and wavelength assignment for
optical circuit-switched polymorphic networks. Fiber & Integrated Optics, 23(2-3):157–170, March-June
2004. †www /Google ga04aIDeMiguel.
[665] Olli Br¨
aysy, Wout Dullaert, and Michel Gendreau. Evolutionary algorithms for the vehicle routing problem
with time window. Journal of Heuristics, 10(6):587–611, December 2004. * www /ISI ga04aOBraysy.
[666] Lipo Wang, Lei Zhou, and Wen Liu. FPGA segmented channel routing using genetic algorithms. In
Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 3, pages 2161–2165, ?,
2.-5. September 2005. IEEE, Piscataway, NJ. ga05aLipoWang.
[667] Olli Br¨
aysy and Michel Gendreau.
Vehicle routing problem with time windows, part
II: Metaheuristics.
Transportation Science, 39(1):119–139, February 2005.
* www
/ISI
ga05aOBraysy
⇒
http://business.highbeam.com/423348/article-1G1-131428876/
vehicle-routing-problem-time-windows-part-ii-metaheuristics.
[668] Beatrice Ombuki, Brian J. Ross, and Franklin Hanshar. Multi-objective genetic algorithms for vehicle
routing problem with time windows. Applied Intelligence, 24(1):–, February 2006. †ACM ga06aBOmbuki
⇒ http://portal.acm.org/citation.cfm?id=1111616.
[669] Fei He, Xiaoyu Song, Ming Gu, Guowu Yang, William N. N. Hung, and Jiaguang Sun. Probabilistic
optimization for FPGA board level routing problems. IEEE Transactions on Circuits and Systems II:
Express Briefs, 53(4):264–268, April 2006. ga06aFeiHe.
[670] Merennage Arosha Anthony Chandana Fernando. A near real time system to determine a cost-effective
IDD traffic routing plan. Master’s thesis, University of Moratuwa, 2007. ga07aMAACFernando ⇒ http:
//dl.lib.mrt.ac.lk/theses/bitstream/handle/123/727/post-text.pdf?sequence=1.
80
Genetic algorithms in operations research
[671] Beatrice Ombuki-Berman and Franklin T. Hanshar. Using genetic algorithms for multi-depot vehicle
routing. In Francisco Baptista Pereira and Jorge Tavares, editors, Bio-Inspired Algorithms for Vehicle
Routing Problems, volume 161 of Studies in Computational Intelligence, pages 77–97, ?, ? 2009. SpringerVerlag, Heidelberg. †www /Springer ga09aBOmbuki-Berman.
[672] J. I. van Hemert and J. A. La Poutr´e. Exploiting fruitful regions in dynamic routing using evolutionary
computation. In ?, editor, Bio-Inspired Algorithms for the Vehicle Routing Problem, volume 161 of Studies
in Computational Intelligence, pages 131–149, ?, ? 2009. Springer-Verlag, Heidelberg. †www /Springer
ga09aJIvanHemert.
[673] Yu-Chun Pan. Applying heuristic algorithm on ship route and container allocation for transoceanic liner.
Master’s thesis, University in Taiwan, 2009. * Google ga09aYu-ChunPan ⇒ http://ndltd.ncl.edu.tw/
cgi-bin/gs32/gsweb.cgi/ccd=unDPW2/record?r1=25&h1=5.
[674] James Tomal´
a Robles and Johnny Pincay Villa. Dise˜
no de un sistema de soporte de decisiones para
resolver el problema de ruteo en un ser vicio de courier. Master’s thesis, ESPOL Polytechnic University,
2010. ga10aJamesTomalaRobles ⇒ http://www.dspace.espol.edu.ec/handle/123456789/11107.
[675] Qiang Liu and Chengen Wang. Pipe-assembly approach for aero-engines by modified particle swarm
optimization.
[676] Chao ching Wang. On the study of two-stage tabu search to solve the vehicle routing problem with
cross-docking in logistics management. Master’s thesis, National Taiwan University of Science and Technology, 2011. †Google ga11aChao-chingWang ⇒ http://140.118.33.1/ETD-db/ETD-search/view_etd?
URN=etd-0616111-100006.
[677] Dariusz Barbucha. Experimental study of the population parameters settings in cooperative multi-agent
system solving instances of the VRP pages =.
[678] Andrew B. Conru. A genetic approach to the cable harness routing problem. In ICEC’94 [1770], pages
200–205. ga94aConru.
[679] Ingrid Gerdes. Application of genetic algorithms to the problem of free-routing for aircraft. In ICEC’94
[1770], pages 536–541. ga94aGerdes.
[680] D. A. Kloske and R. E. Smith. Bulk cable routing using genetic algorithms. In F. D. Anger, R. V. Rodriguez,
and M. Ali, editors, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
(Proceedings of the 7th International Conference on Industrial and Engineering Applications of Artificial
Intelligence and Expert Systems (IEA/AIE 94)), pages 427–434, Austin, TX, May 31.- June 3. 1994.
Gordon and Breach Science Publishers, Langhorne. * CCA 59456/96 P64739/95 ga94aKloske.
[681] Jens Lienig and K. Thulasiraman. New genetic algorithm for the channel routing problem. In Proceedings
of the 7th International Conference on VLSI Design, pages 133–136, Calcutta (India), 5.-8. January 1994.
IEEE Computer Society Press, Los Alamitos, CA. †EI M135225/94 ga94aLienig.
[682] Francisco Javier Marin, F. J. Gonzalez, and F. Sandoval. The routing problem in traffic control using
genetic algorithms. In ?, editor, Proceedings of the 2nd IFAC Symposium on Intelligent Components and
Instruments for Control Applications, page ?, Budapest (Hungary), 8.-10. June 1994. IFAC. ga94aMarin.
[683] N. Noguchi and H. Terao. Creation of optimal route for agricultural vehicle and construction machinery
by using a genetic algorithm. Transactions of the Society of Instrument and Control Engineers (Japan),
30(1):64–71, January 1994. (in Japanese) * CCA 40369/94 ga94aNoguchi.
[684] Miles B. Pellazar. Vehicle route planning with constraints using genetic algorithms. In Proceedings of
the IEEE 1994 National Aerospace and Electronics Conference (NAECON 94), volume 1, pages 111–118,
Dayton, OH, 23.-27. May 1994. IEEE, New York. * ga94aPellazar.
[685] Jean-Yves Potvin and Danny Dub´e. Improving a vehicle routing heuristic through genetic search. In
ICEC’94 [1770], pages 194–199. ga94aPotvin.
[686] B. B. Prahlada Rao, L. M. Patnaik, and R. C. Hansdah. A genetic algorithm for channel routing using
inter-cluster mutation. In ICEC’94 [1770], pages 97–103. ga94aRao.
[687] Akio Sakamoto, Xingzhao Liu, and Takashi Shimamoto. Modified genetic channel router. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, E77-A(12):2076–2084,
December 1994. * EI M080307/95 ga94aSakamoto.
[688] J. Tanomaru and K. Oka. An evolutionary method for automatic wire routing. In Proceedings of the
20th International Conference on Industrial Electronics, Control and Instrumentation (IECON’94), volume 2, pages 1117–1122, Bologna (Italy), 5.-9. September 1994. IEEE, New York. * CCA 42666/95
ga94aTanomaru.
Bibliography
81
[689] K. Uchimura, H. Sakaguchi, and T. Nakashima. Genetic algorithms for vehicle routing problems. In 1994
Vehicle Navigation and Information Systems Conference Proceedings, pages 287–290, Yokohama (Japan),
31. August-2. September 1994. IEEE, New York. * CCA 37495/95 ga94aUchimura.
[690] Xingzhao Liu, Akio Sakamoto, and Takashi Shimamoto. Genetic channel router. IEICE Transactions
on Fundamentals of Electronics Communications and Computer Sciences, E77-A(3):492–501, March 1994.
ga94aXLiu.
[691] H. Kopfer, G. Pankratz, and E. Erkens. Entwicklung eines Genetischen Algorithmus zur Tourenplanung [Vehicle routing by genetic algorithms]. OR Spektrum, 16(1):21–31, 1994. †IAOR Vol. 45 No. 6
ga94bKopfer.
[692] Jens Lienig and H. Brandt. An evolutionary algorithm for the routing of multi-chip modules. In Davidor
et al. [1764], pages 588–597. * EEA 38200/95 CCA 42801/95 ga94bLienig.
[693] Francisco Javier Marin, O. Trelles-Salazar, and F. Sandoval. Genetic algorithms on lan-message passing
architectures using PVM: Application to the routing problem. In Davidor et al. [1764], pages 534–543. *
CCA 41225/95 ga94bMarin.
[694] B. B. Prahlada Rao and R. C. Hansdah. A parallel evolutionary programming-based channel router. In
Proceedings of the First International Workshop on Parallel Processing, pages 281–286, Bangalore (India),
26.-31. December 1994. Tata McGraw-hill Publishing Co Ltd, New Delhi. †CCA 84771/96 ga94bPBBRao.
[695] L. J. Schmitt and M. M. Amini. A survey of genetic algorithmic approaches for solving vehicle routing
problems. In ?, editor, Proceedings of the Decision Sciences Institute, volume 2, pages 1280–1282, Honolulu,
HI, 20.-22. November 1994. Decision Sci. Inst. 1994, Atlanta, GA, USA. * CCA27640/96 ga94bSchmitt.
[696] Jens Lienig and K. Thulasiraman. A genetic algorithm for channel routing in VLSI circuits. Evolutionary
Computation, 1(4):293–311, ? 1994. †[1783] ga94cLienig.
[697] Henrik Esbensen. A macro-cell global router based on two genetic algorithms. In Proceedings EURO-DAC
’94 with EURO-VHDL ’94, pages 428–433, Grenoble (France), 19.-23. September 1994. IEEE, New York.
ga94dEsbensen.
[698] C. Brind, C. Muller, and P. Prosser. Co-operative simulated annealing and genetic algorithms for vehicle
routing problems. In ?, editor, Proceedings of the 15th International Conference (AI’95), volume ?, page ?,
Montpellier (France), 27.-30. June 1995. ? (to appear) †prog ga95aBrind.
[699] Ching-Dong Chen, Yuh-Sheng Lee, A. C.-H. Wu, and Youn-Long Lin. TRACER-fpga: a router for
RAM-based FPGA’s. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,
14(3):371–374, March 1995. * ga95aC-DChen.
[700] Brian Carse, Terence C. Fogarty, and Alistair Munro. Adaptive distributed routing using evolutionary
fuzzy control. In Eshelman [1765], page ? †prog ga95aCarse.
[701] Tim Duncan. Experiments in the use of neighbourhood search techniques for vehicle routing. report
AIAI-TR-176, University of Edinburgh, Artificial Intelligence Applications Institute, 1995. ga95aDuncan.
[702] Ingrid Gerdes. Application of genetic algorithms for solving problems related to free routing for aircraft.
In Biethahn and Nissen [1754], pages 328–340. †Schwehm ga95aGerdes.
[703] Jens Lienig and K. Thulasiraman. GASBOR: A genetic algorithm for switchbox routing in integrated
circuits. In Yao [1755], pages 187–200. †Yao /conf. prog. ga95aLienig.
[704] Runwei Cheng, Mitsuo Gen, and Tatsumi Tozawa. Vehicle routing problem with fuzzy due-time using genetic algorithms. Jpn. J. Fuzzy Theory Syst. (USA), 7(5):665–679, ? 1995. * CCA 70401/96 ga95aRCheng.
[705] B. B. Prahlada Rao, L. M. Patnaik, and R. C. Hansdah. An extended EP algorithm for VLSI channel
routing. In J. R. McDonnell, R. G. Reynolds, and David B. Fogel, editors, Proceedings of the Fourth
Annual Conference on Evolutionary Programming (EP95), page ?, San Diego, CA, 1.-3. March 1995. MIT
Press. †conf.prog ga95aRao.
[706] D. Seunarine and E. Eberbach. The calculus of self-modifiable algorithm based evolutionary computer
network routing. In Yao [1755], pages 201–224. †Yao /conf. prog. ga95aSeunarine.
[707] Timothy Potter and Terry Bossomaier. Solving vehicle routing problems with genetic algorithms. In
ICEC’95 [1785], pages 788–793. †prog. ga95aTPotter.
[708] Sam Rabindranath Thangiah. An adaptive clustering method using a geometric shape for vehicle routing
problems with time windows. In Eshelman [1765], page ? †prog ga95aThangiah.
82
Genetic algorithms in operations research
[709] Hee II Ahn, Seung-Kee Han, and Tsu Won Cho. Genrouter: a genetic algorithm for channel routingproblems. In Proceedings of the 1995 IEEE Region 10 International Conference on Microelectronics
and VLSI, pages 151–154, Hong Kong, 6.-10. November 1995. IEEE, Piscataway, NJ. †EI M064543/95
ga95bAhn.
[710] D. E. Bouchard, M. M. A. Salama, and A. Y. Chikhani. Optimal feeder routing and optimal substation
sizing and placement using guided evolutionary simulated annealing. In Proceedings of the 1995 Canadian
Conference on Electrical and Computer Engineering, volume 2, pages 688–691, Montreal, Que (Canada),
5.-8. September 1995. IEEE 1995, New York, NY. †EEA36932/95 ga95bBouchard.
[711] A. Genco, S. Lopes, G. L. Re, and M. Tartamella. Routing optimization by concurrent genetic algorithms.
In H. Power, editor, Proceedings of the 4th International Coference on Applications of High-Performance
Computing in Engineering, page 332, Milan (Italy), 19.-21. June 1995. Computational Mechanics Publications, Ltd., Southhampton, UK. †P67793 ga95bGenco.
ˇ
[712] Slavko Krajcar, Davor Skrlec,
B. Pribicevic, and S. Blagajac. GA approach to solving multiple vehicle
routing problem. In Proceedings of the 7th Portuguese Conference on Artificial Intelligence, EPIA95,
pages 473–481, Funchal, Portugal, 3.-6. October 1995. Springer-Verlag, Berlin (Germany). †CCA10489/95
ga95bKrajcar.
[713] Ron Noteboom and Hesham H. Ali. New genetic algorithm for single row routing. Midwest Symp Circuits
Syst, 2(?):765–768, 1995. †EI M132749/96 ga95bNoteboom.
[714] Sam Rabindranath Thangiah. Practical handbook of genetic algorithms. In Chambers [1786], chapter 11.
Vehicle routing with time windows using genetic algorithms, pages 253–277. ga95bThangiah.
[715] Keiichi Uchimura and Hideki Sakaguchi. Vehicle routing problem using genetic algorithms based on adjacency relations. In Proceedings of the 6th 1995 Vehicle Navigation and Information Systems Conference, pages 214–217, Seattle, WA, July 30.-August 2. 1995. IEEE, Piscataway, NJ. †EI M195254/95
ga95bUchimura.
[716] E.-C. Yeh, S. S. Venkata, and Z. Sumi´c. Improved distribution system planning using computational
evolution. In Proceedings of the 1995 IEEE Power Industry Computer Application Conference, pages
530–536, Salt Lake City, UT, 7.-12. May 1995. IEEE, New York. ga95bYeh.
[717] Cees H. M. van Kemenade and Joost N. Kok. An evolutionary approach to time constrained routing problems. In Alander [1766], pages 107–122. (ftp://ftp.uwasa.fics/1NWGA/Kemenade.ps.Z) ga95cKemenade.
[718] J. Tanomaru and K. Oka. Automatic wire routing using a customized genetic algorithm. In Proceedings of
the 1995 IEEE International Conference on Systems, Man and Cybernetics, volume 4, pages 2971–2976,
Vancouver, BC (Canada), 22.-25. October 1995. IEEE, New York, NY. †EEA1525/96 ga95dTanomaru.
[719] J. Tanomaru and K. Oka. Evolutionary algorithm for automatic wire routing. In Proceedings of the
ISCA International Conference, Fourth Golden West Conference on Intelligent Systems, pages 97–101,
San Francisco, CA, 12.-14. June 1995. Int. Soc. Comput. & Their Appl.-ISCA, Raleight, NC (USA).
†CCA85645/95 ga95eTanomaru.
[720] A. D. Johnson and Rongchung Sun. A genetic algorithm for VLSI channel routing in the presence of
cyclic vertical constraints. In Proceedings of the 39th Midwest Symposium on Circuits and Systems, volume 1, pages 393–396, Ames, AI (USA), 18.-21. August 1996. IEEE, New York, NY. †EEA62300/97
ga96aADJohnson.
[721] A. M. F.-P. Cesteros, M. de las Mercedes Gomez Albarran, and J. M. S. Perez. A routing strategy based on
genetic algorithms. Inform. Autom. (Spain), 29(3):3–15, 1996. In Spanish †EEA21456/97 ga96aCesteros.
[722] Ye Dazhen and Wu Xinyu. A genetic algorithm for solving the problem of routing and capacity assignment
in computer communication networks. Acta Electronica Sinica (China), 24(12):75–78, 1996. In Chinese
†EEA67184/97 ga96aDazhen.
[723] Dazhen Te and Xinyu Wu. Genetic algorithm for solving the problem of routing and capacity assignment in computer communication networks. Tien Tzu Hsueh Pao, 24(12):75–78, 1996. †EI M097608/97
ga96aDazhenTe.
[724] Nicole G¨
ockel, Gregor Pudelko, Rolf Drechsler, and Bernd Becker. A hybrid genetic algorithm for the
channel routing problem. In Proceedings of the International Symposium on Circuits and Systems, volume ?,
pages 675–678, ?, ? 1996. ? †[1783] ga96aGockel.
[725] H. Shin and M. K. Kang. Vehicle-routing using hybrid genetic algorithm. In J. K. Lee, J. Liebowitz, and
Y. M. Chae, editors, Critical Technology: Proceedings of the Third World Congress on Expert Systems,
volume 1, pages 434–441, Seoul (South Korea), 5.-9. February 1996. Cognizant Communication Corp.,
Elmsford. †P69301 ga96aHShin.
Bibliography
83
[726] John Turner, George Smith, and Jason Mann. Traffic routing in a telecommunications network, 1996. (GB
patent no. 2 299 729. Issued October 9 1996) ga96aJTurner.
[727] J. Y. Potvin and F. Guertin. Coupling a greedy route construction heuristic with a genetic algorithm for
the vehicle-routing problem with time windows, 1996. †P75661 ga96aJYPotvin.
[728] Dae Gyu Kim, David W. Corne, and Peter Ross. Industrial plant pipe-route optimisation with genetic
algorithms. In Voigt et al. [1768], pages 1012–1021. ga96aKim.
[729] Raphael Sala. DISTOS: Efficient petrol delivery system using optimized truck routing. EvoNews, 1(2):11–
12, December 1996. ga96aRSala.
[730] Ruud Schoonderwoerd, O. Holland, J. Bruten, and L. Rothkrantz. Ant-based load balancing in telecommunications network. Adaptive Behavior, 5(2):?, ? 1996. †PPSN06 ga96aRSchoonderwoerd.
[731] R. Simon, T. Znati, and R. J. Sclabassi. An evolutionary computing approach to multimedia routing
optimization. In Proceedings of the 1996 Pacific Workshop on Distributed Multimedia Systems, pages 10–
19, Hong Kong, 25.-28. June 1996. Knowledge Syst. Inst, Skokie, IL (USA). †CCA91278/96 ga96aRSimon.
[732] A. T. Rahmani and N. Ono. Constrained optimization with genetic algorithms: channel routing case. J.
Jpn. Soc. Artif. Intell. (Japan), 11(3):461–469, 1996. In English †EEA84523/96 ga96aRahmani.
[733] A. A. Sevenster and A. P. Engelbrecht. GARTNet: a genetic algorithm for routing in telecommunications
networks. In Proceedings of the Symposium on Control, Optimization and Supervision, volume 2, pages
1106–1111, Lille, France, 9.-12. July 1996. Gerf. EC Lille - Cite Scientifique, Lille, France. †EEA57762/97
ga96aSevenste.
ˇ
ˇ
[734] Aljoˇsa Sribar,
Slavko Krajcar, and Davor Skrlec.
The application of parallel genetic algorithm to capacited
vehicle routing problem. In Oˇsmera [1787], pages 170–175. ga96aSribar.
[735] Yulu Qi and T. Aye. A channel routing algorithm based on genetic algorithm. In ?, editor, Proceedings
of the of the First International Conference, BKK 96, volume ?, pages 184–190, Bangkok (Thailand),
28.-30. October 1996. Asian Inst. Tecnol, Bangkok, Thailand. †EEA47005/98 ga96aYuluQi.
[736] D. Skrlec, Slavko Krajcar, B. Pribicevic, and S. Blagajac. Optimal routing by genetic algorithms. In ?,
editor, Proceedings of the Fourteenth International Conference Applied informatics, volume ?, pages 23–26,
Innsbruck, Austria, 20.-22. February 1996. IASTED-ACTA Press, Anaheim, CA, USA. †CCA 25788/98
EEA34019/98 ga96bDSkrlec.
[737] E.-C. Yeh, Z. Sumic, and S. S. Venkata. Intelligent primary router for underground residential distribution
design. Int. J. Eng. Intell. Syst. Electic. Eng. Commun, 4(2):75–83, 1996. †EI M152443/96 ga96bE-CYeh.
[738] Nicole G¨
ockel, Gregor Pudelko, Rolf Drechsler, and Bernd Becker. Hybrid genetic algorithm for the channel
routing problem. In Proceedings of the 1996 IEEE International Symposium on Circuits and Systems, pages
675–678, Atlanta, GA, 12.-15. May 1996. IEEE, Piscataway, NJ. * EI M159233/96 ga96bGoeckel.
[739] Jean-Yves Potvin, C. Duhamel, and Fran¸cois Guertin. A genetic algorithm for vehicle routing with backhauling. Appl. Intell. Int. J.Artif. Intell. Neural Netw. Complex Probl-Solving Technol (Netherlands),
6(4):345–355, 1996. †CCA10419/97 ga96bJ-YPotvin.
[740] Jens Lienig. A parallel genetic algorithm for two detailed routing problems. In Proceedings of the International Symposium on Circuits and Systems, volume ?, pages 508–511, ?, ? 1996. ? †[1783] ga96bLienig.
[741] Takeshi Yamada. Mathod and device for selecting route, 1996. (JP patent no. 8202675. Issued August 9
1996) * fi.espacenet.com ga96bTYamada.
[742] Hans G. Wolf and Dieter A. Mlynski. New genetic single-layer routing algorithm for analog transistor
arrays. In Proceedings of the 1996 IEEE International Symposium on Circuits and Systems, pages 655–
658, Atlanta, GA, 12.-15. May 1996. IEEE, Piscataway, NJ. †EI M159232/96 ga96bWolf.
[743] Jean-Yves Potvin, D. Dube, and C. Robillard. A hybrid approach to vehicle routing using neural networks
and genetic algorithms. Appl. Intell., Int. Artif. Intell. Neural Netw. Complex Probl.-Solving Technol.
(Netherlands), 6(3):241–252, 1996. †CCA35397/97 ga96cJ-YPotvin.
[744] Jens Lienig. Parallel genetic algorithm for two detailed routing problems. In Proceedings of the 1996 IEEE
International Symposium on Circuits and Systems, pages 508–511, Atlanta, GA, 12.-15. May 1996. IEEE,
Piscataway, NJ. * EI M159231/96 ga96cLienig.
[745] Jean-Yves Potvin and S. Bengio. The vehicle routing problem with time windows. II. genetic search.
INFORMS J. Comput. (USA), 8(2):165–172, 1996. †CCA62122/96 ga96dJ-YPotvin.
[746] Jens Lienig and K. Thulasiraman. GASBOR: a genetic algorithm approach for solving the switchbox
routing problem. J. Circuits Syst. Comput. (Singapore), 6(4):359–373, 1996. †EEA32481/97 ga96dLienig.
84
Genetic algorithms in operations research
[747] Brian Carse, Terence C. Fogarty, and A. Munro. Distributed adaptive routing control in communication
networks using a temporal fuzzy classifier system. In Proceedings of the Fifth IEEE International Conference on Fuzzy classifier system, volume 3, pages 2201–2207, New Orleans, LA, 8.-11. September 1996.
IEEE, New York, NY. †EEA118170/96 ga96eCarse.
[748] Jean-Yves Potvin and S. Bengio. The vehicle routing problem with time windows.II. genetic search.
INFORMS J. Comput. (USA), 8(2):165–172, 1996. †CCA62122/96 ga96eJ-YPotvin.
[749] Jean-Yves Potvin, C. Duhamel, and Fran¸cois Guertin. A genetic algorithm for vehicle routing with backhauling. Appl. Intell. Int. J.Artif. Intell. Neural Netw. Complex Probl-Solving Technol (Netherlands),
6(4):345–355, 1996. †CCA10419/97 ga96gJ-YPotvin.
[750] Anthony D. Johnson and Rongchung Sun. A genetic algorithm for VLSI channel routing in the presence of
cyclic vertical constraints. In Proceedings of the 1997 39th Midwest Symposium on Circuits and Systems,
volume 1, pages 393–396, Ames, Iowa, 18.-11. August 1997. IEEE, Piscataway, NJ. ga97aADJohnson.
[751] C. H. He. Route selection and capacity assignment in computer-communication networks based on genetic
algorithm. In Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems,
volume 1-2, pages 548–552, Beijing (China), 28.-31. October 1997. IEEE, New York, NY. †P80107
ga97aCHHe.
[752] Minea Filipec, D. Skrlec, and Slavko Krajcar. Darwin meets computers: New approach to multiple depot
capacitated vehicle routing problem. In Proceedings of the 1997 IEEE International Conference on Systems,
Man and Cybernetics, volume 1, pages 421–426, Orlando, FL, 12.-15. October 1997. IEEE, Piscataway,
NJ. †EI M022440/98 ga97aFilipec.
[753] de Las Mercedes, M. Gomez-Albarran, A. M. Fernandez-Pampillon-Casteros, and J. M. SanchezPerez. A routing strategy based on genetic algorithms. Microelectron. J. (UK), 28(6-7):641–656, 1997.
†CCA24706/98 ga97aGomez-Al.
[754] C. Hillermeier and D. Weber. Optimal routing in private networks using genetic algorithms. In Proceedings
of the World Telecommunications Congress, volume 1, pages 523–531, Toronto (Canada), 21.-26. September
1997. Pinnacle Group, Toronto Ont., Canada. †EEA50532/98 ga97aHillermeier.
[755] Jean-Yves Potvin and Fran¸cois Guertin. Couplin a greedy route construction heuristics with a genetic
algorithm for the vehicle routing problem with time windows. In Richard S. Barr, Richard V. Helgason,
and Jeffery L. Kennington, editors, Advances in Metaheuristics, Optimization, and Stochastic Modeling
Techniques, Proceedings of the 5th INFORMS Computer Science Technical Section (CSTS) Conference on
Computer Science and Operations Research: Recent Advances in the Interface, volume 7 of Operations
Research/Computer Science Interfaces, pages 423–442, Dallas, TX, 8.-10. January 1996 1997. Kluwer
Academic Publishers, Boston, MA. †MR 2001d:90008 ga97aJ-YPotvin.
[756] Jens Lienig. Channel and switchbox routing with minimized crosstalk. a parallel genetic algorithm approach. In Proceedings of the Tenth International Conference on VLSI Design, pages 27–31, Hyderabad,
India, 4.-7. January 1997. IEEE, Los Alamitos, CA. †EEA52965/97 ga97aJLienig.
[757] M. Kazerooni, Lee H. S. Luong, and Kazem Abhary. A genetic algorithm based cell design considering alternative routing. Comput.-Integr. Manuf. Syst. (UK), 10(2):93–108, 1997.
†CCA90677/97
ga97aKazerooniMLee.
[758] Ki Y. Kim and Kap H. Kim. A genetic algorithm for routing container handling equipment in port
container terminals. In Proceedings of the 14th International Conference on Production Research, volume 1,
pages 562–565, Osaka, Japan, 4.-8. August 1997. Osaka Institute of Technology & Setsunan University.
ga97aKiYKim.
[759] I. M. A. Kirkwood, S. H. Shami, and M. C. Sinclair. Discovering simple fault-tolerant routing rules by
genetic programming. In George D. Smith and Nigel C. Steele, editors, Proceedings of the International
Conference on Artificial Neural Networks and Genetic Algorithms, pages 285–288, Norwich, UK, 2.-4. April
1997. † ga97aKirkwood.
[760] Li Qing, Gao Wei, Lu Yuping, and Shen Chunlin. Aircraft route optimization using genetic algorithms.
In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems:
Innovations and Applications, pages 394–397, Glasgow, UK, 2.-4. September 1997. IEE, London, UK.
†CCA2880/98 ga97aLiQing.
[761] M. Munetomo, Y. Takai, and Y. Sato. An intelligent network routing algorithm by a genetic algorithm.
In Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent
Informaton Systems, volume 1, pages 547–550, Dunedin (New Zealand), 24.-28. November 1997. SpringerVerlag, Berlin (Germany). †CCA82724/98 ga97aMMunetomo.
Bibliography
85
[762] H. Nakamura and T. Oda. Optimization of facility planning and circuit routing for survivable transport
networks - an approach based on genetic algorithm and incremental assignment. IEICE Transactions on
Communication, E80-B(2):240–251, 1997. †EEA46813/97 ga97aNakamura.
[763] S. H. Shami, I. M. A. Kirkwood, and Mark C. Sinclair. Evolving simple fault-tolerant routing rules using
genetic programming. Electronics Letters, 33(17):1440–1441, 14. August 1997. ga97aSHShami.
[764] S. Salhi, Sam Rabindranath Thangiah, and F. Rahman. A genetic clustering method for the multi-depot
vehicle routing problem. In George D. Smith and Nigel C. Steele, editors, Proceedings of the International
Conference on Artificial Neural Networks and Genetic Algorithms, pages 234–237, Norwich, UK, 2.-4. April
1997. Springer-Verlag, Berlin. ga97aSSalhi.
[765] Davor Skrlec, Minea Filipec, and Slavko Krajcar. A heuristic modification genetic algorithm used for
solving the single depot capacited vehicle-routing problem. In Proceedings of the Intelligent Systems,
pages 184–188, Grand Bahama Island (Bahamas), 8.-10. December 1997. IEEE Computer Society Press,
Los Alamitos , CA. †P78486 ga97aSkrlec.
[766] R. Smierzchalski. Trajectory planning for ship in collision situations at sea by evolutionary computation.
In Proceedings of the 4th IFAC Conference on Manoeuvring and Control of Marine Craft, pages 105–110,
Brijuni (Croatia), 10.-12. September 1997. KoREMA-Croatian Soc. Commun. Comput. Electron. Meas. &
Control, Zagreb (Croatia). †CCA19994/98 ga97aSmierzchalski.
[767] Nico Vrijenhoef. Konzepte zur Parallelisierung genetischer Algorithmen. Diplomarbeit, Fernuniversit¨
at
Gesamthochschule in Hagen, Fachbereich Wirtschaftswissenschaft, 1997. ga97aVrijenhoef.
[768] Yasushi Asakuma. Method for optimally searching route, 1997. (JP patent no. 9160961. Issued June 20
1997) * fi.espacenet.com ga97aYAsakuma.
[769] Nicole G¨
ockel, Rolf Drechsler, and Bernd Becker. A multi-layer detailed routing approach based on evolutionary algorithms. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation,
pages 557–562, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA44470/97 ga97bGockel.
[770] Jens Lienig. A parallel genetic algorithm for performance-driven VLSI routing. IEEE Transactions on
Evolutionary Computation, 1(1):29–39, 1997. †EEA71879/97 ga97bLienig.
[771] A. Kanasugi, T. Skimayama, N. Nakaya, and T. Iizuka. A genetic algorithm for switchbox routing problem.
In Proceedings of the First International Conference on Rough Sets and Current Trends in Computing,
pages 247–254, Warsaw, Poland, 22.-26. June 1998. Springer-Verlag, Berlin (Germany). †EEA106681/98
ga98aAKanasugi.
ˇ
[772] Minea Filipec, Davor Skrlec,
and Slavko Krajcar. The vehicle routing problem tackled by genetic algorithm.
In Oˇsmera [1788], pages 30–35. ga98aFilipec.
[773] J. Berger, M. Salois, and R. Begin. A hybrid genetic algorithm for the vehicle routing problem with
time windows. In Proceedings of the 12th Bienneal Conference of the Canadian Society for Computational
Studies of Intelligence, pages 114–127, Vancouver, BC (Canada), 18.-20. June 1998. Springer-Verlag, Berlin
(Germany). †CCA85636/98 ga98aJBerger.
[774] K. S. Seo and G. S. Choi. The genetic algorithm-based route finding method for alternative paths. In
Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 2448–
2453, San Diego, CA, 11.-14. October 1998. IEEE New York, NY. †P82602 ga98aKSSeo.
[775] L. S. Ochi, D. S. Vianna, L. M. A. Drummond, and A. O. Victor. A parallel evolutionary algorithm
for the vehicle routing problem with heterogeneous fleet. In Proceedings of the 12th International Parallel
Processing Symposium and 9th Symposium on Parallel and Distributed Processing, pages 216–224, Orlando,
FL, 30. mar- 3. apr ? 1998. Springer-Verlag, Berlin (Germany). †CCA81516/98 ga98aLSOchi.
[776] J. Latourell, B. Wallet, and B. Copeland. Genetic algorithm to solve constrained routing problem with
applications for cruise missile routing. In Steven K. Rogers, David B. Fogel, and James C. Bezdek, editors,
Proceedings of the Society of Photo-Optical Instrumentation Engineers, volume SPIE-3390, pages 490–
500, Orlando, FL, 13.-16. April 1998. SPIE – International Society for Optical Engineering. †P80079
ga98aLatourel.
[777] M. Yi, M. Y. Ding, and C. P. Zhou. 3D route planning using genetic algorithm. In Proceedings of the
International Symposium on Multispectral Image Processing, volume SPIE-, pages 92–95, Wuhan, China,
21.-23. October 1998. SPIE – International Society for Optical Engineering. †P82656 ga98aMYi.
[778] M. Munetomo, Y. Takai, and Y. Sato. A migration scheme for the genetic adaptive routing algorithm. In
Proceedings of the 1998 IEEE Internatonal Conference on Systems, Man, and Cybernetics, pages 2774–
2779, San Diego, CA, 11.-14. October 1998. IEEE, New York, NY. †P82602 ga98aMunetomo.
86
Genetic algorithms in operations research
[779] R. Vrba, Vladim´ır Olej, and K. Blun´
ar. Multipoint routing in broadband telecommunication networks
using evolution optimisation algorithms. In Oˇsmera [1788], pages 145–151. ga98aRVrba.
[780] Rubo Zhang, Guoyin Zhang, and Guochang Gu. Local path planning of a mobile robot using genetic
algorithm. In Grant R. Gerhart and Ben A. Abbott, editors, Robotic and Semi-Robotic Ground Vehicle
Technology, volume SPIE-3366, pages 195–200, ?, August 1998. The International Society for Optical
Engineering. * www/SPIE Web ga98aRZhang.
[781] A. Ruiz-Andino and J. J. Ruz. Integration of constraint programming and evolution programs: application
to channel routing. In Proceedings of the 11th International Conference on Industrial and Engineering
Applications of Artificial Intelligence and Expert Systems, volume 1, pages 448–459, Benicassim, Spain,
1.-4. June 1998. Springer-Verlag, Berlin (Germany). †CCA82703/98 ga98aRuiz-Andino.
[782] A. Vasilakos, C. Ricudis, K. Anagnostakis, W. Pedryca, and A. Pitsillides. Evolutionary-fuzzy prediction
for strategies QoS routing in broadband networks. In Proceedings of the 1998 IEEE International Conference on Fuzzy Systems, volume 2, pages 1488–1493, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New
York, NY. †EEA112023/98 ga98aVasilakos.
[783] Yee Leung, Guo Li, and Zong-Ben Xu. A genetic algorithm for the multiple destination routing problems.
IEEE Transactions on Evolutionary Computation, 2(4):150–161, November 1998. ga98aYLeung.
[784] M. C. Sinclair. Minimum cost routing and wavelength allocation using a genetic algorithm/heuristic hybrid
approach. In Proceedings of the Sixth IEE Conference on Telecommunications, pages 67–71, Edinburg (UK),
29. mar- 1. apr ? 1998. IEE, London (UK). †CCA49741/98 ga98bMCSinclair.
[785] S. Ronald and S. Kirkby. Compound optimisation. Solving transport and routing problems with a multichromosome genetic algorithm. In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, pages 365–370, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY.
†CCA81514/98 ga98bSRonald.
[786] L. Barolli, A. Koyama, S. Motegi, and S. Yokoyama. Performance evaluation of a genetic algorithm based
routing method for high-speed networks. Trans. Inst. Electr. Eng. Jpn. C (Japan), 119-C(5):624–631,
1999. In English †CCA73016/99 ga99aBarolli.
[787] Eric Bonabeau, Marco Dorigo, and Guy Th´eraulaz. From Natural to Artificial Swarm Intelligence. Oxford
University Press, New York, 1999. †Brochure ga99aBonabeau.
[788] Olli Br¨
aysy. A hybrid genetic algorithm for the vehicle routing problem with time windows. Licentiate
thesis, University of Vaasa, Department of Mathematics and Statistics, 1999. ga99aBraysy.
[789] D. Soares Vienna, L. S. Ochi, and L. M. A. Drummond. A parallel hybrid evolutionary metaheuristic
for the period vehicle routing problem. In Proceedings of the 11th IPPS/SPDP’99 Workshop Held in
Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel
and Distributed Processing, pages 183–191, San Juan, Puerti Rico, 12.-16. April 1999. Springer-Verlag,
Berlin (Germany). †CCA87157/99 ga99aDSVienna.
[790] Lucia Maria De A. Drummond, S. Vianna Dalessandro, and Luiz S. Ochi. Design and implementation of
an improved parallel evolutionary algorithm for the vehicle routing problem with heterogeneous fleet. In
Proceedings of the Third Metaheuristics International Conference, pages 193–197, Rio de Janeiro (Brazil),
19.-23. July 1999. Gatholic University of Rio de Janeiro, Brazil. ga99aDrummond.
[791] F. Xiang, L. Junzhou, W. Jieyi, and G. Guanqun. QoS routing based on genetic algorithm. Comput.
Commun. (Netherlands), 22(15-16):1392–1399, 1999. †CCA99511/99 ga99aFXiang.
[792] J. Homberger and H. Gehring. Two evolutionary metaheuristics for the vehicle routing problem with time
windows. INFOR (Canada), 37(3):297–318, 1999. †CCA86359/99 ga99aHomberge.
[793] Ilkka Karanta, Topi Mikkola, Catherine Bounsaythip, Olli Jokinen, and Juha Savola. Genetic algorithms
applied to a wood collection problem. In Proceedings of the 1999 IEEE International Conference on
Systems, Man, and Cybernetics, volume 4, pages 635–639, ?, 12.-15. October 1999. IEEE, Piscataway, NJ.
ga99aIKaranta.
[794] J. Inagaki, M. Haseyama, and H. Kitajima. A method of detemining various solutions for routing application with a genetic algorithm. Trans. Inst. Electron. Inf. Commun. Eng. D-I (Japan), J82D-I(8):1102–1111,
1999. In Japanese †CCA86326/99 ga99aInagaki.
[795] Jun Inagaki and Yoshinori Haseyama. Optimum route searching method, 1999. (JP patent no. 11118501.
Issued April 30 1999) * fi.espacenet.com ga99aJInagaki.
[796] E. Lukschandl, H. Borgvall, L. Nohle, M. Nordahl, and P. Nordin. Evolving routing algorithms with
the jbgp-system. In Proceedings of the First European Workshops, pages 193–202, Goteburg (Sweden),
26.-27. May 1999. Springer-Verlag, Berlin (Germany). †CCA85340/99 ga99aLukschan.
Bibliography
87
[797] M. C. Sinclair. Minimum cost wavelength-path routing and wavelength allocation using a geneticalgorithm/heuristic hybrid approach. IEE Proceedings - Communications, 146(1):1–7, February 1999.
ga99aMCSinclair.
[798] Masaaki Miyamoto and Yasushi Asakuma. Wiring route design support method, 1999. (JP patent no.
11272727. Issued October 8 1999) * fi.espacenet.com ga99aMMiyamoto.
[799] D. Montana, G. Bidwell, G. Vidaver, and J. Herrero. Scheduling and route selection for military land moves
using genetic algorithms. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,
volume 2, pages 1118–1123, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78556/99
ga99aMontana.
[800] Olli Br¨
aysy. A hybrid genetic algorithm for the vehicle routing problem with time windows. In Proceedings
of the Third Metaheuristics International Conference, pages 105–108, Rio de Janeiro (Brazil), 19.-23. July
1999. Gatholic University of Rio de Janeiro, Brazil. ga99aOlBraysy.
[801] P. K. K. Loh and V. Shaw. A genetic-based fault-tolerant routing strategy for multiprocessor. In Proceedings
of the 11th IPPS/SPDP’99 Workshop Held in Conjunction with the 13th International Parallel Processing
Symposium and 10th Symposium on Parallel and Distributed Processing, pages 220–229, San Juan (Puerto
Rico), 12.-16. April 1999. Springer-Verlag, Berlin (Germany). †CCA90560/99 ga99aPKKLoh.
[802] Lorena Pradenas and Victor Parada. Use of genetic algorithms, tabu search and simulated annealing
in the vehicle routing problem. In Proceedings of the Third Metaheuristics International Conference,
pages 371–374, Rio de Janeiro (Brazil), 19.-23. July 1999. Gatholic University of Rio de Janeiro, Brazil.
ga99aPradenas.
[803] S. J. Moore and M. C. Sinclair. Design of routing tables for a survivable military communications network
using genetic algorithms. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,
volume 3, pages 1788–1795, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA83971/99
ga99aSJMoore.
[804] Takahisa Hatakeyama. Routing method using a genetic algorithm, 1999. (EP patent no. 0 921 661. Issued
June 9 1999) ga99aTHatakeyama.
[805] Sam R. Thangiah. Practical handbook of genetic algorithms. In Chambers [1761], chapter 9. A hydrid
genetic algorithm, simulated annealing and tabu search heuristic for vehicle routing problems with time
window, pages 348–383. ga99aThangiah.
[806] Wan-Rong Jih and Jane Yung jen Hsu. Dynamic vehicle routing using hybrid genetic algorithms. In
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, volume 1, pages
453–458, Detroit, MI (USA), 10.-15. May 1999. IEEE, Piscataway, NJ. †CCA78478/99 ga99aWan-RJih.
[807] Young Dae Lee, Beom Hee Lee, and Han Gyoo Kim. An evolutionary approach for time optimal trajectory
planning of a robotic manipulator. Information Sciences, 113(3-4):245–260, 1999. ga99aYoungDaeLee.
[808] Olli Br¨
aysy. A new algorithm for the vehicle routing problem with time window based on the hybridization
of a genetic algorithm and route construction heuristics. Proceedings of the University of Vaasa, Research
Papers 227 (Mathematics 3), University of Vaasa, 1999. ga99bBraysy.
[809] Masaaki Kiyamoto and Yasushi Asakuma. Wiring route design support method, 1999. (JP patent no.
11154172. Issued June 8 1999) * fi.espacenet.com ga99bMiyamoto.
[810] S. J. Louis, Xiangying Yin, and Zhen Ya Yuan. Multiple vehicle routing with time windows using genetic
algorithms. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 3, pages
1804–1808, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78557/99 ga99bSJLouis.
[811] Olli Br¨
aysy. Autojen reititysongelma ja sen ratkaisumenetelm¨
at [Solving vehicle routing problem]. In Tuija
Mainela, editor, Yhteisty¨
on yliopisto, volume 28 of Vaasan yliopistoseuran julkaisuja, pages 30–33. Vaasan
yliopistoseura RY, Vaasa, 1999. (in Finnish) ga99cBraysy.
[812] B. B. Prahlada Rao and R. C. Hansdah. Extended distributed genetic algorithm for channel routing. In
Proceedings of the Fifth IEEE Symposium on Parallel and Distributed Processing, pages 726–733, Dallas,
TX, 1.-4. December 1993. IEEE Computer Society Press, Los Alamitos, CA. * EEA 37601/95 CCA
42753/95 ga:BBPRao93b.
[813] Joe L. Blanton, Jr. and Roger L. Wainwright. Vehicle routing with time windows using genetic algorithms.
In ?, editor, Proceedings of the 6th Oklahoma Symposium on Artificial Intelligence, pages 242–251, Tulsa,
OK, ? 1992. ? †Blanton93a ga:Blanton92b.
[814] Joe L. Blanton, Jr. and Roger L. Wainwright. Multiple vehicle routing with time and capacity constraints
using genetic algorithms. In Forrest [1750], pages 452–459. ga:Blanton93a.
88
Genetic algorithms in operations research
[815] Royce O. Bowden. Genetic algorithm based machine learning applied to the dynamic routing of discrete
parts. PhD thesis, Mississippi State University, 1992. * DAI Dec. 93 ga:BowdenThesis.
[816] C. G. Brockus. Shortest path optimization using a genetic search technique. In ?, editor, Proceedings of the
14th Annual Pittsburgh Conference on Modelling and Simulation, volume 14, pages 241–245. Instrument
Society of America, Res. Triangle Pk, NC, 1983. † ga:Brockus83.
[817] B. Buttitta, P. Orlando, F. Sorbello, and G. Vassallo. Monreale: A new genetic algorithm for the solution
of channel routing problems. In V. A. Monaco and R. Negrini, editors, Proceedings. Advanced Computer
Technology. Reliable Systems and Applications. 5th Annual European Conference CompEuro’91, pages
462–466, Bologna (Italy), 13.-16. May 1991. IEEE Computer Society Press, Los Alamitos, CA. * EEA
48447/92 [1782] ga:Buttitta91a.
[818] Donald E. Brown, Christopher L. Huntley, Bernard P. Markowicz, and David E. Sappington. Rail network
routing and scheduling using simulated annealing. In Proceedings of the 1992 IEEE International Conference on Systems, Man, and Cybernetics, volume 1, pages 589–592, Chicago, IL, 18.-21. October 1992.
IEEE Computer Society Press, Loa Alamitos, CA. * CA 5865 Vol. 37 No. 9/10 ga:DEBrown92a.
[819] Y. L. Lin, Y. C. Hsu, and F. S. Tsai. A detailed router based on simulated evolution. In ?, editor,
Proceedings of the International Conference on Computer Aided Design (ICCAD’88), pages 38–41, ?, ?
1988. ? †[?] ga:FSTsai88a.
[820] Y. L. Lin, Y. C. Hsu, and F. S. Tsai. SILK: Simulated evolution router. IEEE Transactions on ComputerAided Design, 8(10):1108–1114, October 1989. †[1783] ga:FSTsai89a.
[821] Rhonda Janes Ficek. Genroute: A hybrid approach for single and multiple depot routing. PhD thesis, North Dakota State University of Agriculture and Applied Sciences, 1993. * DAI Vol. 55 No. 1
ga:FicekThesis.
[822] David B. Fogel and Lawrence J. Fogel. Optimal routing of multiple autonomous underwater vehicles
through evolutionary programming. In Proceedings of the Symposium on Autonomous Underwater Vehicle
Technology, pages 44–47, Washington, D.C., June 1990. IEEE Press, New York. †Fogel/bib ga:Fogel90f.
[823] M. Geraci, P. Orlando, F. Sorbello, and G. Vasallo. A genetic algorithm for the routing of VLSI circuits.
In Proceedings of the Euro ASIC ’91 Conference, pages 218–223, ?, ? 1991. IEEE Computer Society Press,
Los Alamitos, CA. †[1783] ga:Geraci91a.
[824] Kendall E. Nygard and Nagesh Kadaba. Algorithm management using genetic search for computer-aided
vehicle routing. In V. Milutinovic and B. D. Shriver, editors, Proceedings of the Twenty-Fourth Annual
Hawaii International Conference on System Sciences, pages 317–326, Kauai, HI, 8.-11. January 1991. IEEE
Computer Society Press, Los Alamitos, CA. †Fogel/bib ga:Kadaba91a.
[825] Jr. Louis Anthony Cox, Lawrence Davis, and Yuping Qiu. Dynamic anticipatory routing in circuit-switched
telecommunications networks. In Davis [1784], chapter 11, pages 124–143. ga:LACox91.
[826] Mark C. Sinclair. The application of a genetic algorithm to trunk network routing table optimization. In
Proceedings of the Tenth UK Teletraffic Symposium, pages 2/1–2/6, Martlesham (UK), 14./16. April 1993.
IEE, London. * EI M183506/94 EEA 68972/93 ga:MCSinclair93a.
[827] Anon. Microcomputer-based vehicle routing and scheduling. Government report AD-A238755/3, Netrologic, Inc., 1991. * CA 1665 Vol. 36 No. 3 ga:Netrologic.
[828] James B. Olsan. Genetic algorithms applied to a mission routing problem. Master’s thesis, Air Force Institute of Technology, Wright-Patterson AFB, School of Engineering, 1993. * N94-27120 ga:OlsanMSThesis.
[829] Norihiko Ono and Adel Torkaman Rahmani. A genetic algorithm for channel routing problem. In Forrest
[1750], pages 494–498. ga:Ono93b.
[830] N. Taniguchi, Xingzhao Liu, Akio Sakamoto, and Takashi Shimamoto. An approach to channel routing
using genetic algorithm. Bulletin of Faculty of Engineering, Tokushima University (Japan), (38):99–112,
1993. (in English) * CCA 7811/94 EEA 2610/94 ga:Shimamoto93a.
[831] Xingzhao Liu, Akio Sakamoto, and Takashi Shimamoto. Restrictive channel routing with evolution programs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences,
E76-A(10):1738–1745, October 1993. ga:Shimamoto93b.
[832] N. Taniguchi, Xingzhao Liu, Akio Sakamoto, and Takashi Shimamoto. An attempt to solve channel routing
using genetic algorithm. Transaction of the Institute of Electronics, Information and Communication Engineers A (Japan), J76-A(9):1376–1379, September 1993. (in Japanese) * EEA 26545/94 ga:Shimamoto93c.
Bibliography
89
[833] Xingzhao Liu, Akio Sakamoto, and Takashi Shimamoto. Restrictive channel routing with hybrid genetic
algorithms. In ?, editor, Proceedings of the 6th Karuizawa Workshop on Circuits and Systems, pages 79–84,
?, ? 1993. ? †[?] ga:Shimamoto93d.
[834] Sam Rabindranath Thangiah, Kendall E. Nygard, and Paul L. Juell. Gideon: A genetic algorithm system
for vehicle routing with time windows. In Proceedings of the Seventh IEEE Conference on Artificial Intelligence Applications, volume 1, pages 322–328, Miami Beach, FL, 24.-28. February 1991. IEEE Computer
Society Press, Los Alamitos. ga:Thangiah91.
[835] Sam Rabindranath Thangiah and Kendall E. Nygard. School bus routing using genetic algorithms. In
Gautam Biswas, editor, Applications of Artificial Intelligence X: Knowledge-Based Systems, volume SPIE1707, pages 387–398, Orlando, FL, 22.-24. April 1992. The International Society for Optical Engineering.
ga:Thangiah92a.
[836] Sam Rabindranath Thangiah and Kendall E. Nygard. Micah: a genetic algorithm system for multicommodity transshipment problems. In Proceedings of the Eighth Conference on Artificial Intelligence for
Applications, pages 240–246, Monterey, CA, 2.-6. March 1992. IEEE Computer Society Press. * CCA
375/93 EI M013201/93 ga:Thangiah92b.
[837] Sam Rabindranath Thangiah, Rajini Vinayagamoorthy, and Ananda V. Gubbi. Vehicle routing and time
deadlines using genetic and local algorithms. In Forrest [1750], pages 506–513. ga:Thangiah93a.
[838] Sam Rabindranath Thangiah and Ananda V. Gubbi. Effect of genetic sectoring on vehicle routing problems
with time windows. In IEEE International Conference on Developing and Managing Intelligent System
Projects, pages 146–153, Washington, DC, 29.-31. March 1993. IEEE Computer Society Press, Los Alamitos, CA. * CCA 63711/93 ga:Thangiah93b.
[839] Sam Rabindranath Thangiah and Kendall E. Nygard. Dynamic trajectory routing using an adaptive
search method. In K. M. George Deaton and George Hedrick Hal. Berghel, editors, Proceedings of the 1993
ACM/SIGAPP Symposium on Applied Computing, pages 131–138, Indianapolis, IN, 14.-16. February 1993.
ACM Press, New York. †ACM/93 ga:Thangiah93c.
[840] Norio Shimamoto, Atsushi Hiramatsu, and Kimiyoshi Yamasaki. A dynamic routing control based on a
genetic algorithm. In 1993 IEEE International Conference on Neural Networks, volume II, pages 1123–
1128, San Francisco, CA, 28. March - 1. April 1993. IEEE. ga:Yamasaki93a.
[841] L. Y. Wang, B. D. Liu, Y. T. Lai, and M. Y. Yeh. Performance-driven global routing based on simulated
evolution. In Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control
and Power Engineering (TENCON’93), volume 1, pages 511–514, Beijing (China), 19.-21. October 1993.
IEEE. ga:Yeh93a.
[842] Antti Autere.
GA:Autere92.
Optimointi [Optimization and GA].
In Alander [1773], pages 105–117.
(in Finnish)
[843] Jarmo T. Alander. On Boolean SAT and GA. In Alander [1773], pages 190–207. GA:SAT.
[844] B. G. W. Craenen, A. E. Eiben, E. Marchiori, and A. G. Steenbeek. Combining local search and fitness function adaptation in a GA for solving binary constraint satisfaction problems. page 381, 2000.
ga00aBGWCraenen.
[845] Kensaku Sakamoto, Hidetaka Gouzu, Ken Komiya, Daisuke Kiga, Shigeyuki Yokoyama, Takashi Yokomori,
and Masami Hagiya. Molecular computation by DNA hairpin formation. Science, 288(5469):1223–1226,
19. May 2000. ga00aKensakuSakamoto.
[846] Qinghua Liu, Liman Wang, Anthony G. Frutos, Anne E. Condon, Robert M. Corn, and Lloyd M. Smith.
DNA computing on surfaces. Nature, 403(6766):175–179, 13. January 2000. ga00aLMSmith.
[847] Mitsunori Ogihara and Animesh Ray. DNA computing on a ship. Nature, 403(6766):143–144, 13. January
2000. ga00aMitsunoriOgihara.
[848] Stefan Harmeling. Solving satisfiability problems with genetic algorithms. In Genetic Algorithms and
Genetic Programming at Stanford, pages 206–213, ? 2000. ga00aStefanHarmeling ⇒ http://www.kyb.
mpg.de/fileadmin/user_upload/files/publications/attachments/genetic_sat_%5B0%5D.pdf.
[849] Tad Hogg and Dmitriy Portnov. Quantum optimization. Information Sciences, 128(?):181–197, ? 2000.
ga00bTadHogg.
[850] Gianluigi Folino, Clara Pizzuti, and Giandomenico Spezzano. Parallel hybrid method for SAT that couples
genetic algorithms and local search. IEEE Transactions on Evolutionary Computation, 5(4):323–334,
August 2001. ga01aGFolino.
90
Genetic algorithms in operations research
[851] Habiba Drias and Mohamed Khabzaoui. Scatter search with random walk strategy for SAT and MAXW-SAT problems. In L. Monostori, J. V´
ancza, and M. Ali, editors, Engineering of Intelligent Systems,
14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and
Expert Systems, IEA/AIE 2001, volume LNAI of 2070, pages 35–44, Budapest (Hungary), 4.-7. June
2001. Springer-Verlag Berlin Heidelberg. * www /Springer ga01aHDrias.
[852] Hubert Hug and Rainer Schuler. Strategies for the development of a peptide computer. Bioinformatics,
17(4):364–368, 2001. ga01aHubertHug.
[853] Zoran Ognjanovi´c, Josef Kratica, and Miloˇsnovi´c. A genetic algorithm for satisfiability problem in a
probabilistic logic: a first report. In S. Benferhat and P. Besnard, editors, Symbolic and Quantitative
Approaches to Reasoning with Uncertainty, 6th European Conference, ECSQARU 2001, volume LNAI of
2143, pages 805–816, Toulouse (France), 19.-21. September 2001. Springer-Verlag Berlin Heidelberg. *
www /Springer ga01aZOgnjanovic.
[854] Habiba Drias. Genetic algorithm versus scatter search and solving hard MAX-W-SAT problems. In J. Mira
and A. Prieto, editors, Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th
International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, volume LNCS
of 2084, pages 586–593, Granada (Spain), 13.-15. June 2001. Springer-Verlag Berlin Heidelberg. * www
/Springer ga01bHDrias.
[855] John H. Reif. Successes and challenges. Science, 296(5567):478–479, 19. April 2002. ga02aJHReif.
[856] Mohamed Tounsi. A genetic-based approach for satisfiability problems. In J. Calmet, B. Benhamou,
O. Caprotti, L. Henocque, and V. Sorge, editors, Artificial Intelligence, Automated Reasoning, and Symbolic
Computation, Joint International Conference, AISC 2002 and Calculemus 2002, volume LNAI of 2385,
pages 208–216, Marseille (France), 1.-5. July 2002. Springer-Verlag Berlin Heidelberg. * www /Springer
ga02aMTounsi.
[857] Ravinderjit S. Braich, Nickolas Chelyapov, Cliff Johnson, Paul W. K. Rothemund, and Leonard M. Adleman. Solution of a 20-variable 3-SAT problem on a DNA computer. Science, 296(5567):499–502, 19. April
2002. ga02aRSBraich.
[858] Rapha¨el Dorne and Jin-Kao Hao. Nouveaux operators genetiques appliques au SAT [New genetic operators
based on stratified population for SAT]. In ?, editor, Proceedings of the Evolution Artificielle ’94, page ?,
Toulouse (France), September 1994. ? †[1789] ga94aDorne.
[859] Jin-Kao Hao and Rapha¨el Dorne. An empirical comparison of two evolutionary methods for satisfiability
problems. In ICEC’94 [1770], pages 450–455. ga94aJ-KHao.
[860] T. C. S. Lee and A. L. G. Koh. Genetic algorithm approaches to SAT problems. In ?, editor, Proceedings
of the 2nd Singapore International Conference on Intelligent Systems (SPICIS’94), pages B171–B176,
Singapore, 14.-17. November 1994. Japan-Singapore AI Centre, Singapore. †CCA 61010/96 ga94aTCSLee.
[861] J. Frank. A study of genetic algorithm to find approximate solutions to hard 3-SAT problems. In E. A. Yfantis, editor, Proceedings of the Intelligent Systems - Third Golden West International Conference, Edited
and Selected Papers, volume 1-2, page ?, Las Vegas, NV, 6.-8. June 1994. Kluwer Academic Publishers,
Dordrecht, Netherlands. †P67837 ga94bFrank.
[862] Jin-Kao Hao and Rapha¨el Dorne. A new population-based method for satisfiability problems. In ?,
editor, Proceedings of the ECAI Workshop on Applied Genetic and other Evolutionary Algorithms, page ?,
Amsterdam, ? 1994. ? †[1789] ga94bJ-KHao.
[863] Charles Fleurent and Jacques A. Ferland. Object-oriented implementation of heuristic search methods
for graph coloring, maximum clique, and satisfiability. DIMACS, ?(?):?, ? 1995. (To appear; ftp:
//ftp.iro.umontreal.capub/optim/fleurent/papers/dimacs/dimacs.ps.Z) ga95aFleurent.
[864] Jin-Kao Hao. A clausal genetic representation and its evolutionary procedures for satisfiability problems.
In Pearson et al. [1753], pages 289–292. ga95aHao.
[865] Kihong Park. A comparative study of genetic search. In Eshelman [1765], page ? ga95aPark.
[866] B. Bush and L. Rabelo. Development of a fuzzyBLsystems design strategy using evolutionary computation.
In ?, editor, Proceedings of the 29th ISATA, volume ?, page ?, Florence (Italy), 3.-6. June 1996. ISATA.
†ISATA prog ga96aBBush.
[867] D. Cambiaghi, M. Gadola, D.Vetturi, and L. Manzo. Genetic algorithms for tyre modelling fitting in
automotive dynamics system. In ?, editor, Proceedings of the 29th ISATA, volume ?, page ?, Florence
(Italy), 3.-6. June 1996. ISATA. †ISATA prog ga96aCambiaghi.
Bibliography
91
[868] Peter Smith. Finding hard satisfiability problems using bacterial conjugation. In Fogarty? [1769], pages
236–244. ga96aPeterSmith.
[869] J. Gottlieb and N. Voss. Representations, fitness functions and genetic operators for the satisfiability
problem. In ?, editor, Proceedings of the Artificial Evolution 97 (EA’97) Conference, pages 55–68, Nimes
(France), 22.-24. October 1997. Springer-Verlag, Berlin. †prog ga97aGottlieb.
[870] A. Strohmaier. Multi-flip networks: parallelizing GenSAT. In Proceedings of the 21st Annual German
Conference on Artificial Intelligence, pages 349–360, Freiburg (Germany), 9.-12. September 1997. SpringerVerlag, Berlin (Germany). †CCA782/98 ga97aStrohmaier.
´
[871] Agoston
E. Eiben and J. K. van der Hauw. Solving 3-SAT by GAs adapting constraint weights. In Proceedings of 1997 IEEE International Conference on Evoutionary Computation, pages 81–86, Indianapolis,
IN, 13.-16. April 1997. IEEE, New York, NY. †CCA44443/97 ga97bEiben.
[872] Soraya Rana and Darrell Whitley. Genetic algorithm behavior in the MAXSAT domain. In Agoston E.
Eiben, Thomas B¨
ack, Marc Schoenauer, and Hans-Paul Schwefel, editors, Parallel Problem Solving from
Nature - PPSN V, 5th International Conference, volume LNCS of 1498, pages 785–794, Amsterdam (The
Netherlands), September 1998. Springer-Verlag Berlin Heidelberg. * www /Springer ga98aSRana.
[873] Soraya Rana, Robert B. Heckendorn, and Darrell L. Whitley. A tractable Walsh analysis of SAT and its
implications for genetic algorithms. In Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Conference on Innovative Applications of Artificial Intelligence, pages 392–397, Madison,
WI, 26.-30. July 1998. American Association of Artificial Intelligence, Menlo Park. ga98aSorayaRana.
[874] E. Marchiori and C. Rossi. A flipping genetic algorithm for hard 3-SAT problems. In Proceedings of
the Genetic and Evolutionary Computation Conference, volume 1, pages 459–465, ?, ? 1999. ?
†[?]
ga99aMarchiori.
[875] Robert B. Heckendorn, Soraya Rana, and Darrell L. Whitley. Polynomial time summary statistics for
a generalization of MAXSAT. In ?, editor, Proceedings of the GECCO-99 Conference, volume ?, pages
281–288, ?, ? 1999. Morgan Kaufmann, Los Altos, CA. ga99bRBHeckendorn.
[876] Robert B. Heckendorn, Soraya Rana, and Darrell L. Whitley. Test function generators as embedded landscapes. In ?, editor, Foundations of Genetic Algorithms, FOGA-5, page ?, ?, ? 1999. Morgan Kaufmann,
Los Altos, CA. ga99cRBHeckendorn.
[877] Thomas A. Bitterman. Genetic algorithms and the satisfiability of large-scale Boolean expressions. PhD
thesis, Louisiana State University of Agricultural and Mechanical College, 1993. * DAI Vo. 54 No. 9
ga:BittermanThesis.
[878] Kenneth A. De Jong and William M. Spears. Using genetic algorithms to solve NP-complete problems. In
Schaffer [1781], pages 124–132. ga:DeJong89a.
[879] William M. Spears. Using neural networks and genetic algorithms as heuristics for NP-complete problems.
Master’s thesis, George Mason University, 1990. ga:Spears90b.
[880] Sami Leino. Skedulointiongelma [Scheduling and GA]. In Alander [1773], pages 95–104. (in Finnish)
GA:Leino92.
[881] Andrea Rossi and Gino Dini. Dynamic scheduling of FMS using a real-time genetic algorithm. International
Journal of Production Research, 38(1):1–20, 10. January 2000. ga00aAndreaRossi.
[882] Brian J. Carnahan, Mark S. Redfern, and Bryan Norman. Designing safe job rotation schedules using
optimization and heuristic search. Ergonomics, 43(4):543–560, April 2000. †PsycINFO 2000-03561-006
ga00aBJCarnahan.
[883] Carlos A. Brizuela and Nobuo Sannomiya. A selection scheme in genetic algorithms for a complex scheduling problem. page 1021, 2000. ga00aCABrizuela.
[884] C. H. Kung, M. J. Devaney, C. M. Huang, and C. M. Kung. Power source scheduling and adaptive
load management via a genetic algorithm embedded neural-network. In Proceedings of the 17th IEEE
Instrumentation and Measurement Technology Conference, volume ?, pages 1061–1065, Baltimore, MD,
USA, 1.-4.May 2000. IEEE, New York. †P89729 ga00aCHKung.
[885] Christian Prins. Competitive genetic algorithms for the open-shop scheduling problem. Math. Methods
Oper. Res., 52(3):389–411, ? 2000. †www /MathRev1810422 ga00aCPrins.
[886] Daniel Merkle, Martin Middendorf, and Hartmut Schmeck. Ant colony optimization for resourceconstrained project scheduling. pages 893–900, 2000. ga00aDMerkle.
92
Genetic algorithms in operations research
[887] F. S. Reis, J. M. Pinto, L. A. F. M. Ferreira, and P. M. S. Carvalho. Short-term investment scheduling in transmission power systems by evolutionary computation. In Loi Lei Lai, editor, Proceedings of
the International Conference on Electric Utility Deregulation and Restructuring and Power Technologies
(DRPT2000), pages 524–527, London, UK, 4.-7. April 2000. IEEE. ga00aFSReis.
[888] Hossam ElGindy, Martin Middendorf, Hartmut Schmeck, and Bernd Schmidt. Task rearrangement on
partially reconfigurable FPGAs with restrict buffer. In H. Gr¨
unbacher and R. Hartenstein, editors, FieldProgrammable Logic and Applications, The Roadmap to Reconfigurable Computing, 10th International
Conference, FPL 2000, volume LNCS of 1896, pages 379–388, Villach (Austria), 27.-30. August 2000.
Springer-Verlag Berlin Heidelberg. * www /Springer ga00aHElGindy.
[889] Ioannis T. Christou and Armand Zakarian. Domain knowledge and representation in genetic algorithms
for real world scheduling problems. pages 690–696, 2000. ga00aITChristou.
[890] I. W. Marshall and C. Roadknight. Adaptive management of an active service network. BT Technology
Journal, 18(4):78–84, October 2000. * ga00aIWMarshall.
[891] J. K¨
aschel, Bernd Meier, Marco Fischer, and Tobias Teich. Evolutionary real-world shop floor scheduling
using parallelization and parameter coevolution. pages 697–701, 2000. ga00aJKaschel.
[892] Jack M. West and John K. Antonio. A genetic algorithm approach to scheduling communications for a class
of parallel space-time adaptive processing algorithms. In J. Rolim et al., editor, Parallel and Distributed
Processing, 15 IPDPS 2000 Workshops, volume LNCS of 1800, pages 855–861, Cancun (Mexico), May
2000. Springer-Verlag Berlin Heidelberg. * www /Springer ga00aJMWest.
[893] Kefeng Wang, Thomas L¨
ohl, Mario Stobbe, and Sebastian Engell. A genetic algorithm for online-scheduling
of a multiproduct polymer batch plant. Computers & Chemical Engineering, 24(2-7):393–400, 16.-21.July
2000. ga00aKFWang.
[894] L. P. Khoo, S. G. Lee, and X. F. Yin. A prototype genetic algorithm-enhanced multi-objective scheduler
for manufacturing systems. International Journal of Advanced Manufacturing Technology, 16(2):131–138,
? 2000. * www /Springer ga00aLPKhoo.
[895] L. Qiao, X.-Y. Wang, and S.-C. Wang. A GA-based approach to machining operation sequencing
for prismatic parts. International Journal of Production Research, 38(14):3283–3303, September 2000.
ga00aLQiao.
[896] Masami Akutsu and Masaaki Fujisawa. Device and method for scheduling and recording medium
stored with its scheduling program, 2000. (JP patent no. 2000330966. Issued November 30 2000) *
fi.espacenet.com ga00aMAkutsu.
[897] Marc Gravel, Wilson L. Price, and Caroline Gagne. Scheduling jobs in an Alcan aluminium foundry using
a genetic algorithm. International Journal of Production Research, 38(13):3031–3041, September 2000.
ga00aMGravel.
[898] M. K. Tiwari and N. K. Vidyarthi. Solving machine loading problems in a flexible manufacturing system using a genetic algorithm based heuristic approach. International Journal of Production Research,
38(14):3357–3384, September 2000. ga00aMKTiwari.
[899] S. Martorell, A. Sanchez, S. Carlos, and V. Serradell. Using genetic algorithms in completion times and
test intervals optimization with risk and cost constraints. In M. P. Cottam, R. P. Pape, and D. W. Harvey,
editors, Conference on Foresight and Precaution, volume 1-2, pages 1571–1582, Edinburgh, Scotland, 15.17.May 2000. A a Balkema, Rotterdam. †P89831 ga00aSMartorell.
[900] Soraya Rana-Stevens, Benjamin Lubin, and David Montana. The air crew scheduling system: The design
of a real-world, dynamic genetic scheduler. pages 317–324, 2000. ga00aSRana-Stevens.
[901] Yong-Gang Wu, Chun-Ying Ho, and Ding-Yi Wang. A diploid genetic approach to short-term scheduling of hydro-thermal system. IEEE Transactions on Power Systems, 15(4):1268–1274, November 2000.
ga00aYong-GangWu.
[902] Takeshi Yamada, Kazuyuki Yoshimura, and Ryohei Nakano. Method and device for scheduling personnel
arrangement, and recording medium recording personnel arrangement scheduling program, 2000. (JP
patent no. 2000132604. Issued May 12 2000) * fi.espacenet.com ga00bTYamada.
[903] Atsushi Enjoji. Device and method for generating schedule, and recording medium with schedule generating
program recorded theorem, 2001. (JP patent no. 2001331779. Issued November 30 2001) * fi.espacenet.com
ga01aAEnjoji.
[904] Birger Franck, Klaus Neumann, and Christoph Schwindt. Truncated branch-and-bound, scheduleconstruction, and schedule-improvement procedures for resource-constrained project scheduling. OR Spektrum, 23(3):297–324, ? 2001. * www /Springer ga01aBFranck.
Bibliography
93
[905] Eiichi Takahashi, Masahiro Murakawa, Kenji Toda, and Tetsuya Higuchi. Digital system, clock signal
control method for the same and recording medium storing processing program to be run by the method,
2001. (JP patent no. 2001043261. Issued February 16 2001) * fi.espacenet.com ga01aETakahashi.
[906] Godfrey C. Onwubolu and Michael Mutingi. Optimizing the multiple constrained resources product mix
problem using genetic algorithms. International Journal of Production Research, 39(9):1897–1910, June
2001. ga01aGCOnwubolu.
[907] H.-L. Shen, J.-C. Xu, and S. Chen. Using genetic algorithms for optimal ordering problem of flight test
maneuvers. Flight Dynamics, 19(1):18–21, March 2001. * A02-10930 ga01aH-LShen.
[908] H. Lee and S.-S. Kim. Integration of process planning and scheduling using simulation based genetic
algorithms. The International Journal of Advanced Manufacturing Technology, 18(8):586–590, 2001.
ga01aHLee.
[909] H. Timucin Ozdemir and Chilukuri K. Mohan. Flight graph based genetic algorithm for crew scheduling
in airlines. Information Sciences, 133(?):165–173, ? 2001. * TKKpaa ga01aHTOzdemir.
[910] Jian-Bo Yang. GA-based discrete dynamic programming approach for scheduling in FMS environments.
IEEE Transactions on System, Man, and Cybernetics - Part B: Cybernetics, 31(5):824–835, October 2001.
ga01aJ-BYang.
[911] J. Prashant Reddy, S. Kumanan, and O. V. Krishnaiah Chetty. Application of Petri nets and a genetic
algorithm to multi-mode multi-resource constrained project scheduling. International Journal on Advanced
Manufacturing Technology, 17(4):305–314, ? 2001. * www /Springer ga01aJPReddy.
[912] Jyh-Horn Chen, Li-Chen Fu, Ming-Hung Lin, and An-Chih Huang. Petri-net and GA-based approach to
modeling, scheduling, and performance evaluation for wafer fabrication. IEEE Transactions on Robotics
and Automation, 17(5):619–636, October 2001. ga01aJyh-HornChen.
[913] L. P. Khoo, S. G. Lee, and X. F. Yin. Agent-based multiple shop floor manufacturing scheduler. International Journal of Production Research, 39(14):3023–3040, September 2001. ga01aLPKhoo.
[914] Matthias Gr¨
obner and Peter Wilke. Optimizing employee schedules by a hybrid genetic algorithm. In
Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart,
G¨
unther R. Raidl, and Harald Tijink, editors, Applications of Evolutionary Computing, EvoWorkshops
2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, volume LNCS of 2037, pages 463–472,
Como (Italy), 18.-20. April 2001. Springer-Verlag Berlin Heidelberg. * www /Springer ga01aMGrobner.
[915] Makihiko Satou. Taboo searching device, 2001. (JP patent no. 2001022726. Issued January 26 2001) *
fi.espacenet.com ga01aMSatou.
[916] Michiko Watanabe, Masashi Furukawa, Akihiro Mizoe, and Tatsuo Watanabe. GA applications to physical
distribution scheduling problem. IEEE Transactions on Industrial Electronics, 48(4):724–730, August 2001.
ga01aMWatanabe.
[917] Mikkel T. Jenssen. Robust and Flexible Scheduling with Evolutionary Computation. PhD thesis, University of Aarhus, Department of Computer Science, 2001. (www.daimi.au.dk/$\sim${}mjensen/research/
research.html) * gascheduling ga01aMikkelJensen.
[918] Olli Parviainen. Ennakoivaan simulointiin perustuva panostuotannon optimointi [Batch production optimization by evolutionary computation and predictive simulation]. Master’s thesis, Helsinki University of
Technology, 1998. †www /TKK ga01aOlliParviainen.
[919] Stephen Hill. A packet scheduler and method, 2001. (WO patent no. 0173972. Issued October 4 2001) *
fi.espacenet.com ga01aSHill.
[920] Tatsuya Ninagawa and Sakai Tatsuo. Load schedule planning method, 2001. (JP patent no. 2001236113.
Issued August 31 2001) * fi.espacenet.com ga01aTNinagawa.
[921] Tomoaki Sato. Schedule generating device and recording medium recorded with schedule generating program, 2001. (JP patent no. 2001175639. Issued June 29 2001) * fi.espacenet.com ga01aTSato.
[922] Tracy D. Braun, Howard Jay Siegel, Noah Beck, Ladislau
Reuther, James P. Robertson, Mitchell D. Theys, Bin
A comparison of eleven static heuristics for mapping a
distributed computing systems. Journal of Parallel and
(www.idealibrary.com) ga01aTracyDBraun.
L. B¨
ol¨
oni, Muthucumaru Maheswaran, Albert I.
Yao, Debra Hensgen, and Richard F. Freund.
class of independent tasks onto heterogeneous
Distributed Computing, 61(?):810–837, ? 2001.
[923] Hirotoshi Takahashi, Yasuyoshi Kobayashi, Yuji Fukuoka, and Sannomiya Nobuo. Stacking scheduling
device and method using genetic algorithm, 2001. (JP patent no. 2001249970. Issued September 2001) *
fi.espacenet.com ga01bHTakahashi.
94
Genetic algorithms in operations research
[924] K. P. Dahal, G. M. Burt, J. R. McDonald, and A. Moyes. A case of scheduling storage tanks using a
hybrid genetic algorithm. IEEE Transactions on Evolutionary Computation, 5(3):283–294, June 2001.
ga01bKPDahal.
[925] Adrian Andreoiu and Kankar Bhattacharya. Lyapunov’s method based genetic algorithm for multi-machine
PSS tuning. In IEEE Power Engineering Society Winter Meeting, volume 2, pages 1495–1500, ?, 27.31. January 2002. IEEE, Piscataway, NJ. ga02aAAndreoiu.
[926] Dong Hyun Baek and Wan Chul Yoon. Co-evolutionary genetic algorithm for multi-machine scheduling:
coping with high performance variability. International Journal of Production Research, 40(1):239–254,
January 2002. ga02aDHBaek.
[927] Franciszek Seredy´
nski and Anna Swi¸ecicka. Immune-like system approach to cellular automata-based
scheduling. In R. Wyrzykowski, J. Dongarra, M. Paprzycki, and J. Wa´sniewski, editors, Parallel Processing
and Applied Mathematics, 4th International Conference, PPAM 2001, volume LNCS of 2328, pages 626–
633, Nal¸ecz´
ow, (Poland), 9.-12. September 2002. Springer-Verlag Berlin Heidelberg. * www /Springer
ga02aFSeredynski.
[928] Harry Kornilakis, Panagiotis, and Stamatopoulos. Crew pairing optimization with genetic algorithms. In
I. P. Vlahavas and C. D. Spyropoulos, editors, Methods and Applications of Artificial Intelligence, Second
Hellenic Conference on AI, SETN 2002, volume LNAI of 2308, pages 109–120, Thessaloniki (Greece),
11.-12. April 2002. Springer-Verlag Berlin Heidelberg. * www /Springer ga02aHKornilakis.
[929] I. Moon, E. A. Silver, and S. Choi. Hybrid genetic algorithm for the economic lot-scheduling problem.
International Journal of Production Research, 40(4):809–824, ? 2002. ga02aIMoon.
[930] Jack M. West and John K. Antonio. A genetic-algorithm approach to scheduling communications for embedded parallel space-time adaptive processing algorithms. Journal of Parallel and Distributed Computing,
62(?):1386–1406, ? 2002. ga02aJMWest.
[931] Koichi Matsuda, Toyohiro Umeda, and Hajime Murao. Scheduling method, 2002.
2002032113. Issued January 31 2002) * fi.espacenet.com ga02aKMatsuda.
(JP patent no.
[932] Muhammad K. Dhodhi, Imtiaz Ahmad, Anwar Yatama, and Ishfaq Ahmad. An integrated technique for
task matching and scheduling onto distributed heterogeneous computing systems. Journal of Parallel and
Distributed Computing, 62(?):1338–1361, ? 2002. ga02aMKDhodhi.
[933] Martin Middendorf, Bernd Scheuermann, Hartmut Schmeck, and Hossam ElGindy. An evolutionary approach to dynamic task scheduling on FPGAs with restricted buffer. Journal of Parallel and Distributed
Computing, 62(?):1407–, ? 2002. ga02aMMiddendorf.
[934] Samarn Chantaravarapan. Heuristics for the Family Scheduling Problems to Minimize Total Tardiness.
PhD thesis, Texas Tech University, 2002. * ga02aSChantaravarapan ⇒ http://etd.lib.ttu.edu/theses/
available/etd-06272008-31295017084699/unrestricted/31295017084699.pdf.
[935] W.-C. Yeh. A memetic algorithm for the n/2/flowshop/αF +βCmax scheduling problem. The International
Journal of Advanced Manufacturing Technology, 20(6):464–473, 2002. ga02aW-CYeh.
[936] X. Liu, M. Hu, and X. Dong. Application of genetic algorithm for solving flight conflicts. Journal of
Nanjing University of Aeronautics & Astronautics, 34(1):35–39, February 2002. (in Chinese) * A02-30356
ga02aXLiu.
[937] Franciszek Seredy´
nski and Albert Y. Zomaya. Coevolution and evolving parallel cellular automata-based
scheduling algorithms. In P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, and Marc Schoenauer, editors,
Artificial Evolution, 5th International Conference, Evolution Artificielle, EA 2001, volume LNCS of 2310,
pages 362–375, Le Creusot (France), 29.-31. October 2002. Springer-Verlag Berlin Heidelberg. * www
/Springer ga02bFSeredynski.
[938] M. Thompson, A. L. Nortcliffe, K. J. Shaw, J. Love, and P. J. Fleming. Design software for the application
of a multiple objective genetic algorithm to the scheduling of a small batch multi-product processing plant.
pages 263–268, 2002. ga02bMThompson.
[939] Pavel Oˇsmera and Petr Masopust. Schedule optimization using genetic algorithms. pages 132–138, 2002.
ga02bPOsmera.
[940] L. Wu, W. D. Potter, K. Rasheed, J. Ghent, D. Twardus, H. Thistle, and M. Teske. Improving the
genetic algorithm performance in aerial spray deposition management. In Proceedings IEEE SoutheastCon,
volume ?, pages 306–311, ?, 5.-7. April 2002. IEEE, Piscataway, NJ. ga02sLWu.
[941] Chaiporn Sricharoentham. Multiple-objective scheduling in parallel machines using memtic algorithms.
Master’s thesis, Texas tech University, 2003. ga03aChaipornSricharoentham ⇒ http://etd.lib.ttu.
edu/theses/available/etd-07312008-31295018633882/unrestricted/31295018633882.pdf.
Bibliography
95
[942] Jukka Heinonen and Frank Pettersson. Scheduling a specific type of batch process with evolutionary
computation. In Proceedings of the 2003 Congress on Evoluonary Computation, CEC’03, volume 2, pages
966–970. IEEE, Piscataway, NJ, 8.-12. December 2003. ga03aJukkaHeinonen ⇒ http://ieeexplore.
ieee.org/xpl/articleDetails.jsp?tp=&arnumber=1299771.
[943] Rama Chidambaram. Modeling and decision-making in a semiconductor supply chain. PhD thesis, Arizona
State University, 2003. * www /UMI ga03aRChidambaram.
[944] Edmund K. Burke, P. De Causmaecker, G. Vanden Berghe, and H. Van Landeghem. The state of the art of
nurse rostering. The Journal of Scheduling, 7(6):441–499, /December 2004. (http://www.kluweronline.
com/issn/1094-6136) †GAscheduling-list ga04aBurke.
[945] E. D. Talbi, L. Geneste, B. Grabott, R. Previtali, and P. Hostachy. Application of optimization techniques
to parameter set-up in scheduling. Computers in Industry, 55(2):105–124, October 2004. * www /ISI
ga04aEDTalbi.
[946] Supphasak Phonganant.
Reactive Parallel Machine Scheduling Using Hybrid-Intelligence to Minimize Weighted Tardiness, Makespan, and Cost of Rescheduling.
PhD thesis, Texas Tech University, 2004.
* Google
ga04aSPhonganant ⇒ http://etd.lib.ttu.edu/theses/available/
etd-07312008-31295019812121/unrestricted/31295019812121.pdf.
[947] Haidar M. Harmanani and Hassan A. Salamy. Power-constrained system-on-a-chip test scheduling using a
genetic algorithms. In Proceedings of the 3rd Annual IEEE Northeast Workshop on Circuits and Systems
(NEWCAS 2005), pages 203–206, ?, 19.-22. June 2005. IEEE, Piscataway, NJ. ga05aHMHarmanani.
[948] John Dewey. Searching for prescriptive treatment schedules with a genetic algorithm: A tool for forest
management. Master’s thesis, University of Georgia, Graduate Faculty, 2005. ga05aJDewey.
[949] Peter Bober. Rozvrhovanie v´
yroby pomocou genetick´
ych algoritmov [production scheduling by genetic
algorithm]. Kvalita Inov´
acia Prosperita, IX(1):10–18, ? 2005. ga05aPeterBober.
[950] Amr Kandil and Khaled El-Rayes. Parallel genetic algorithms for optimizing resource utilization in largescale construction projects. Journal of Construction Engineering and Management, 132(5):491–498, May
2006. ga06aAmrKandil.
[951] B. Roland, C. Di Martinelly, and F. Riane. Operating theatre optimization: A resource-constrained based
solving approach. In ?, editor, Proceedings of the International Conference on Service Systems and Service
Management, page ?, ?, ? 2006. ? †[956] ga06aBRoland.
[952] H. Fei, N. Meskens, and C. Chu. An operating theatre planning and scheduling problem in the case of
a block scheduling strategy. In ?, editor, Proceedings of the International Conference on Service Systems
and Service Management, page ?, ?, ? 2006. ? †[956] ga06aHFei.
[953] Patrisia T. Leite and Andr´e C. P. L. F. Carvalho. Hybrid genetic algorithm applied to the determination
of the optimal operation of hydrothermal systems. In Proceedings of the ninth Brazilian Symposium on
Neural Networks (SBRN’06), page ?, ?, ? 2006. IEEE, Piscataway, NJ. ga06aPTLeite.
[954] Yang Qu, Juha-Pekka Soininen, and Jari Nurmi. Using dynamic voltage scaling to reduce the configuration
energy of run time reconfigurable devices. In Proceedings of the 2007 Design, Automation and Test in
Europe Conference and Exhibition, volume ?, pages 147–152, Nice (France), 16.-20. April 2007. IEEE,
Piscataway, NJ. ga07aYangQu.
[955] Yang Qu, Juha-Pekka Soininen, and Jari Nurmi. A genetic algorithm for scheduling tasks onto dynamically
reconfigurable hardware. In Proceedings of the 2007 IEEE International Symposium on Circuits and
Systems (ISCAS’07), volume ?, pages 161–164, New Orleans, LA, 27.-30. May 2007. IEEE, Piscataway,
NJ. †www /VTT ga07bYangQu.
[956] Brecht Cardoen, Erik Demeulemeester, and Jeroen Beli¨en. Operating room planning and scheduling: A
literature review. report KBI 0807, Katholieke Universiteit Leuven, Department of Decision Sciences and
Information Management (KBI), 2008. ga08aBCardoen.
[957] Tobias Grosche. Computational Intelligence in Integrated Airline Scheduling. Springer-Verlag, ?, 2009.
†www /Google books ga09aTobiasGrosche.
[958] Hemmak Allaoua and Ibrahim Osmane. Variable parameters lengths genetic algorithm for minimizing
earliness-tardiness penalties of single machine scheduling with a common due date. Electronic Notes in
Discrete Mathematics, 36:471–478, August 2010. ga10aHemmakAllaoua ⇒ http://www.sciencedirect.
com/science/article/pii/S1571065310000612.
[959] Joon-Min Gil and Youn-Hee Han. A target coverage scheduling scheme based on genetic algorithms in
directional sensor networks. Sensors, 11(2):1888–1906, 2011. †PubMed ga11aJoon-MinGil ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22319387.
96
Genetic algorithms in operations research
[960] Manuel Lopez-Ibanez, T. Devi Prasad, and Ben Paechter. Representations and evolutionary operators for
the scheduling of pump operations in water distribution networks. Evolutionary Computation, 19(3):429–
467, 2011. †PubMed ga11aManuelLopez-Ibanez ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21281118.
[961] R. Muthu Selvi and R. Rajaram. A genetic based approach for multiobjective optimization of disk scheduling to reduce completion time and missed task. International Journal of Information Technology Convergence and Services (IJITCS), 1(4):–, August 2011. ga11aRMuthuSelvi ⇒ http://airccse.org/journal/
ijitcs/papers/0811ijitcs07.pdf.
[962] Xiao-Bing Hu and Ezequiel A. Di Paolo. A ripple-spreading genetic algorithm for the aircraft sequencing
problem. Evolutionary Computation, 19(1):77–106, 2011. †PubMed ga11aXiao-BingHu ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/20807081.
[963] Z. Ahmed, Ty Elmekkawy, and S. Bates. Developing an efficient scheduling template of a chemotherapy treatment unit: A case study. The Australasian Medical Journal, 4(10):575–588, 2011. †PubMed
ga11aZAhmed ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23386870.
[964] Adrian Racu and Leandro Soares Indrusiak. Using genetic algorithms to map hard real-time on NoCbased systems. In Proceedings of the 2012 7th IEEE International Workshop on Reconfigurable and
Communication-Centric Systems-on-Chip (RECOSOC), pages –, York (UK), 9.-11- July 2012. IEEE,
Piscataway, NJ. ga12aAdrianRacu ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=
6322893.
[965] Cristiano Calonaci, Ferdinando Chiacchio, and Francesco Pappalardo. Optimal vaccination schedule search
using genetic algorithm over MPI technology. BMC Medical Informatics and Decision Making, 12:129, 2012.
†PubMed ga12aCristianoCalonaci ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23148787.
[966] Istv´
an Selek, Jozsef Gergely Bene, and Csaba Hos. Optimal (short-term) pump schedule detection for
water distribution systems by neutral evolutionary search. Applied Soft Computing, 12(8):2336–2351,
August 2012. †ISI ga12aIstvanSelek ⇒ .
[967] KeYi Xing, LiBin Han, MengChu Zhou, and Feng Wang. Deadlock-free genetic scheduling algorithm
for automated manufacturing systems based on deadlock control policy. IEEE Transactions on Systems,
Man, and Cybernetics. Part B, Cybernetics, 42(3):603–615, June 2012. †PubMed ga12aKeYiXing ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22106151.
[968] Moacir Godinho Filho, Clarissa Fullin Barco, and Roberto Fernandes Tavares Neto. Using genetic algorithms to solve scheduling problems on flexible manufacturing systems (FMS): a literature survey, classification and analysis. Flexible Services and Manufacturing Journal, pages –, 2013. ga12aMoacirGodinhoFilho
⇒.
[969] Adrian Racu. Static scheduling of tasks in large multicore systems using evolutionary algorithms. Master’s
thesis, The University of York, 2012. ga12bAdrianRacu ⇒ http://www.cs.york.ac.uk/library/proj_
files/2012/4thyr/ar559/Adrian%20Racu.pdf.
[970] Amir Hossein Azadnia, Shahrooz Taheri, Pezhman Ghadimi, Muhamad Zameri Mat Saman, and Kuan Yew
Wong. Order batching in warehouses by minimizing total tardiness: a hybrid approach of weighted
association rule mining and genetic algorithms. TheScientificWorldJournal, 2013, 2013.
†PubMed
ga13aAmirHosseinAzadnia ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23864823.
[971] Gang Du, Zhibin Jiang, Yang Yao, and Xiaodi Diao. Clinical pathways scheduling using hybrid genetic
algorithm. Journal of Medical Systems, 37(3):9945, 2013. †PubMed ga13aGangDu ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/23576080.
[972] Reza Zamani. Integrating iterative crossover capability in orthogonal neighborhoods for scheduling
resource-constrained projects. Evolutionary Computation, 21(2):341–360, Summer 2013.
†PubMed
ga13aRezaZamani ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22709134.
[973] Xiuli Qu, Yidong Peng, Nan Kong, and Jing Shi. A two-phase approach to scheduling multi-category
outpatient appointments–a case study of a women’s clinic. Health Care Management Science, 16(3):197–
216, September 2013. †PubMed ga13aXiuliQu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23494360.
[974] L. A. Abbott. Comparison of a constraint directed search to a genetic algorithm in a scheduling application. In F. D. Anger, R. V. Rodriguez, and M. Ali, editors, Industrial and Engineering Applications of
Artificial Intelligence and Expert Systems (Proceedings of the 7th International Conference on Industrial
and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 94)), pages 407–412,
Austin, TX, May 31.- June 3. 1994. Gordon and Breach Science Publishers, Langhorne. * CCA 60254/96
P64739/95 ga94aAbbott.
Bibliography
[975] Akeel Al-Attar.
ga94aAl-Attar.
97
A hybrid GA-heuristic search strategy.
AI Expert, 9(9):34–37, September 1994.
[976] Shahid Ali, Sadiq M. Sait, and Muhammad S. T. Benten. GSA: scheduling and allocation using genetic
algorithm. In Proceedings EURO-DAC ’94 with EURO-VHDL ’94, pages 84–89, Grenoble (France), 19.23. September 1994. IEEE, New York. ga94aAli.
[977] B. Andersen. Tuning computer CPU scheduling algorithms using evolutionary programming. In A. V.
Sebald and Lawrence J. Fogel, editors, Proceedings of the Fourth Annual Conference on Evolutionary
Programming (EP94), pages 316–323, San Diego, CA, 24.-26. February 1994. World Scientific, Singapore.
* CCA 57725/96 ga94aAndersen.
[978] Christian Blume. Planning and optimization of scheduling in industrial production by genetic algorithms
and evolutionary strategy. In I. I. Esat, S. W. E. Earles, and A. Ertas, editors, Proceedings of the 2nd
Biennial European Joint Conference on Engineering, Systems Design, and Analysis, volume 64 No. 5 of
ASME Pet. Div. Publ. PD, pages 427–433, London (UK), 4.-7. July 1994. ASME, New York. * EI
M181015/94 ga94aBlume.
[979] C. Y. Lee. Genetic algorithms for single machine job scheduling with common due date and symmetric
penalties. J. Oper. Res. Soc. Jpn. (Japan), 37(2):83–95, 1994. †CCA248/95 ga94aCYLee.
[980] Hugh M. Cartwright and A. L. Tuson. Genetic algorithms and flowshop scheduling: towards the development of a real-time process control system. In Terence C. Fogarty, editor, Evolutionary Computing.
Selected Papers of the AISB Workshop, pages 277–290, Leeds (UK), 11.-14. April 1994. Springer-Verlag,
Berlin. * CCA 12864/95 ga94aCartwright.
[981] Runwei Cheng and Mitsuo Gen. Evolution program for resource constrained project scheduling problem.
In ICEC’94 [1770], pages 736–741. ga94aCheng.
[982] J. E. Cooling and B. Korousic-Seljak. Task scheduling – using neural networks within hardware coprocessors. In Proceedings of the 7th Mediterranean Electrotechnical Conference (MELECON94), volume 1,
pages 317–320, Antalya (Turkey), 12.-14. April 1994. IEEE, New York. †EI M048014/95 ga94aCooling.
[983] B. Denby and D. Schofield. Open-pit design and scheduling by use of genetic algorithms. Transactions of the
Institution of Mining and Metallurgy Section A – Mining Industry, 103(?):A21–A26, 1994. (Proceedings of
the Symposium on Artificial Intelligence in the Minerals Sector, Nottingham (UK), Apr. 1993) †P61213/95
ga94aDenby.
[984] Markus Ettl and Markus Schwehm. A design methodology for Kanban-controlled production lines using
queuing networks and genetic algorithms. Interne Bericht IMMD VII - 15/94, Universit¨
at ErlangenN¨
urnberg, Institut f¨
ur Mathematische Maschinen und Datenverarbeitung, 1994. (also as [1008]) ga94aEttl.
[985] Bogdan Filipiˇc and Alira Srdoˇc. Task scheduling and resource management in ship repair using a genetic
algorithm. In J. Brodda and K. Johansson, editors, Proceedings of the 8th International Conference on
Computer Applications in Shipbuilding, volume 2, pages 15.17–15.28, Bremen (Germany), 5.-9. September
1994. IFIP. ga94aFilipic.
[986] Garrison W. Greenwood, Ajay Gupta, and Kelly McSweeney. Scheduling tasks in multiprocessor systems
using evolutionary strategies. In ICEC’94 [1770], pages 345–349. ga94aGreenwood.
[987] Edwin S. H. Hou, Nirwan Ansari, and Hong Ren. A genetic algorithm for multiprocessor scheduling. IEEE
Transactions on Parallel and Distributed Systems, 5(2):113–120, February 1994. ga94aHou.
[988] B. S. Huppe and I. Okutani. Application of genetic algorithm to manpower scheduling problem. Transactions of the Institute of Electrical Engineers of Japan C, 114-C(4):450–455, April 1994. (in Japanese) *
CCA 67148/94 ga94aHuppe.
[989] James P. Ignizio and Cavalier. ? In James P. Ignizio and Cavalier, editors, Linear Programming, pages
480–486. Prentice-Hall, New York, 1994. †News/Ignizio ga94aIgnizio.
[990] T. Iwata. Scheduling method using genetic algorithm for multipurpose batch plant operation. Mitsui
Zosen Tech. Rev. (Japan), ?(152):11–17, June 1994. (in Japanese) †CCA 78399/94 ga94aIwata.
[991] James C. Bean. Genetic algorithms and random keys for sequencing and optimization. ORSA Journal on
Computing, 6(2):154–160, Spring 1994. * [1795] CCA 60943/94 ga94aJCBean.
[992] Michelle D. Kidwell and Diane J. Cook. Genetic algorithm for dynamic task scheduling. In Proceedings of
the 1994 IEEE 13th Annual International Phoenix Conference on Computers and Communications, pages
61–67, Phoenix, AZ, 12.-15. April 1994. IEEE, New York. ga94aKidwell.
[993] Thomas D. Logan. An electronic card production line loading program - an evolutionary algorithm implementation. In ICEC’94 [1770], pages 206–210. ga94aLogan.
98
Genetic algorithms in operations research
[994] C. McCulley and C. L. Bloebaum. Optimal sequencing for complex engineering systems using genetic
algorithms. In A Collection of Papers, 5th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary
Analysis and Optimization, volume 1, pages 718–730, Panama City, FL, 7.-9. September 1994. American
Institute of Aeronautics and Astronautics (AIAA). ga94aMcCulley.
[995] Masaharu Munetomo, Yoshiaki Takai, and Yoshiharu Sato. A genetic approach to dynamic load balancing
in a distributed computing system. In ICEC’94 [1770], pages 418–421. ga94aMunetomo.
[996] Tadahiko Murata and Hisao Ishibuchi. Performance evaluation of genetic algorithms for flowshop scheduling problems. In ICEC’94 [1770], pages 812–817. ga94aMurata.
[997] Carlos Alberto Gonzalez Pico and Roger L. Wainwright. Dynamic scheduling of computer tasks using
genetic algorithms. In ICEC’94 [1770], pages 829–833. ga94aPico.
[998] Nobuo Sannomiya, Hitoshi Iima, and N. Akatsuka. Genetic algorithm approach to a production ordering
problem in an assembly process with constant use of parts. International Journal of Systems Science,
25(9):1461–1472, September 1994. * CCA 76964/94 ga94aSannomiya.
[999] Alexandru Seibulescu. Instruction scheduling on multiprocessors using a genetic algorithm. In Koza [1757],
page ? †conf.prog ga94aSeibulescu.
[1000] Chang-Yun Shen, Yoh-Han Pao, and Percy P. C. Yip. Scheduling multiple job problems with guided
evolutionary simulated annealing approach. In ICEC’94 [1770], pages 702–706. ga94aShen.
[1001] E. Tanker and A. Z. Tanker. Application of a genetic algorithm to core reload pattern optimization. In ?,
editor, Proceedings of the International Conference on Reactor Physics and Reactor Computations, page ?,
Tel Aviv (Israel), 23.-26. January 1994. ? †[1031] ga94aTanker.
[1002] J. Tuoma, Nobuo Sannomiya, and S. Kawai. Genetic algorithm approach to an operation assignment
problem. Trans. Inst. Syst. Control Inf. Eng. (Japan), 7(10):443–445, October 1994. (in Japanese) * EEA
222/95 ga94aTuoma.
[1003] Al J. Underbrink, Jr. and George P. W. Williams, Jr. Genetic algorithms applied to assembly operations.
In Wray Buntine, Moffett Field, and Doug H. Fisher, editors, Knowledge-Based Artificial Intelligence
Systems in Aerospace and Industry, volume SPIE-2244, pages 32–42, Orlando, FL, 4.-6. April 1994. The
International Society for Optical Engineering. * A95-12929 P61331/94 ga94aUnderbrink.
[1004] Hans-Peter Wiendahl. Decentral production scheduling of assembly systems with genetic algorithm. CIRP
Ann., 43(1):389–395, ? 1994. * EI M163624/94 ga94aWiendahl.
[1005] Ted Wright. A genetic algorithm approach to scheduling resources for a space power system. PhD thesis,
Case Western Reserve University, 1994. * DAI Vol. 55 No. 4 ga94aWright.
[1006] R. J. Abbott, M. L. Campbell, and W. C. Krenz. Scheduling robotic actions by genetic algorithms. In ?,
editor, Proceedings of the 1st International Conference on Vision and Movement in Man and Machines in
Honor of Professor Lawrence Stark (STARKFEST 94), page ?, Berkeley, CA, 24.-26. June 1994. University
of Berkeley, Berkeley, CA. †P68650 ga94bAbbott.
[1007] Joseph P. Baumgartner and Diane J. Cook. A genetic algorithm for load balancing in parallel computers. In F. D. Anger, R. V. Rodriguez, and M. Ali, editors, Industrial and Engineering Applications of
Artificial Intelligence and Expert Systems (Proceedings of the 7th International Conference on Industrial
and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 94)), pages 619–628,
Austin, TX, May 31.- June 3. 1994. Gordon and Breach Science Publishers, Langhorne. †P64739/95
ga94bBaumgartner.
[1008] Markus Ettl and Markus Schwehm. A design methodology for Kanban-controlled production lines using
queuing networks and genetic algorithms. In ?, editor, Proceedings of the Tenth International Conference
on Systems Engineering (ICSE’94), pages 307–314, ?, ? 1994. Coventry University Press, Coventry (UK).
ga94bEttl.
[1009] Theron Randy Fennel, Al J. Underbrink, Jr., and George P. W. Williams, Jr. Scheduling with genetic
algorithms. In ?, editor, Proceedings of the Third International Conference on Artificial Intelligence,
Robotics, and Automation for Space, pages 435–438, ?, October 1994. JPL. †N95-23762 ga94bFennel.
[1010] V. Gorrini and Marco Dorigo. An application of evolutionary algorithms to the scheduling of robotic
operations. Technical Report IRIDIA/94-24, Universit´e Libre de Bruxelles, 1994. †Bersini ga94bGorrini.
[1011] Timothy T. Maifeld and Gerald B. Shebl´e. Evolution of a unit commitment schedule using a genetic algorithm. In ?, editor, Proceedings of the Twenty-Sixth Annual Nord American Power Symposium, volume 2,
pages 583–592, Manhattan, KS, 26.-27. September 1994. Kansas State University, Manhattan, KS. * EEA
52246/95 ga94bMaifeld.
Bibliography
99
[1012] Anthony Wren. Experiences with genetic algorithms for bus driver scheduling. In ?, editor, Proceedings of
the Adaptive Computing and Information Processing, volume 2, pages 373–390, London, UK, 25.-27. January 1994. Unicom Seminars 1994, Uxbridge, UK. * CCA27643/96 ga94bWren.
[1013] Mutsunori Yagiura and Toshihide Ibaraki. On genetic crossover operators for sequencing problems. Transactions of the Institute of Electrical Engineers of Japan C, 114-C(6):713–720, June 1994. (in Japanese) *
CCA 999/95 ga94bYagiura.
[1014] F. Seredynski. Dynamic mapping and load balancing with parallel genetic algorithms. In ICEC’94 [1770],
pages 834–839. ga94cSeredynski.
[1015] Mitsuo Gen, Yasuhiro Tsujimura, and Erika Kubota. Genetic algorithm for multiprocessor scheduling
problems. In Proceedings of the 10th Fuzzy System Symposium, pages 43–46, ?(Japan), ? 1994. ? (in
Japanese) †[211] ga94dGen.
[1016] Hisao Ishibuchi, Naohisa Yamamoto, Tadahiko Murata, and Hideo Tanaka. Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems. In ?, editor, ?, volume ?, pages 81–
100, Amsterdam (The Netherlands), 10. October 1994. Elsevier Science Publ. B. V., Amsterdam. †EI
M035388/95 ga94dIshibuchi.
[1017] Markus Schwehm and Thomas Walter. Mapping and scheduling by genetic algorithms. Interne Bericht
IMMD VII - 7/94, Universit¨
at Erlangen-N¨
urnberg, Institut f¨
ur Mathematische Maschinen und Datenverarbeitung, 1994. (also as [1018]) ga94dSchwehm.
[1018] Markus Schwehm and Thomas Walter. Mapping and scheduling by genetic algorithms. In B. Buchberger
and J. Volkert, editors, Parallel Processing: CONPAR’94–VAPP VI, Proceedings of the Third Joint Conference on Vector and Parallel Processing, Lecture Notes in Computer Science 854, pages 832–841, ?, ?
1994. Springer-Verlag, Berlin. ga94eSchwehm.
[1019] Mitsuo Gen, Yasuhiro Tsujimura, and Erika Kubota. Solving job-shop scheduling problems by genetic
algorithm. In Proceedings of the 1994 IEEE International Conference on Systems, Man, and Cybernetics,
volume 2, pages 1577–1582, San Antonio, TX, 2.-5. October 1994. IEEE, New York. * CCA 45425/95
ga94fGen.
[1020] Charles L. Karr and J. C. Phillips. Scheduling and resource allocation with genetic algorithms. In ?,
editor, Proceedings of the SME Annual Meeting, page ?, Albuquerque, NM, 14.-17. February 1994. Society
for Mining, Metallurgy, and Exploration, Inc., Littleton, CO. ga94lKarr.
[1021] R. J. Abbott, M. L. Campbell, and W. C. Krenz. A sustainable genetic algorithm for satellite resource
allocation. In ?, editor, The 1995 Proceedings of the 1995 Goddard Conference on Space Applications
of Artificial Intelligence and Emerging Information Technologies, pages 103–117, Goddard Space Flight
Center, May 1995. NASA. * N95-27383 ga95aAbbott.
[1022] Imtiaz Ahmad and Muhammad K. Dhodhi. Multiprocessor scheduling using a problem-space genetic
algorithm. In IEE/IEEE Sheffield ’95 [1767], pages 152–157. †conf.prog ga95aAhmad.
[1023] Robert W. Amphlett and David R. Bull. Multiprocessor scheduling for high quality digital audio. In
IEE Electronics Division Colloquium on Multiprocessor DSP, number 116, pages 2/1–2/8, London (UK),
31. May 1995. IEE, Stevenage (UK). * EI M176474/95 ga95aAmphlett.
[1024] Bryan Norman and James C. Bean. Operation scheduling for parallel machine tools. Technical Report 9529, University of Michigan, Department of Industrial and Operations Engineering, 1995. †Altavista/Bean
ga95aBNorman.
[1025] Flavio Baita, Francesco Mason, Carlo Poloni, and Walter Ukovich. Genetic algorithm with redundancies
for the vehicle scheduling problem. In Biethahn and Nissen [1754], pages 341–353. †Schwehm ga95aBaita.
[1026] M. J. Baxter, M. O. Tokhi, and Peter J. Fleming. Task-processor mapping for real-time parallel systems
using genetic algorithms with hardware-in-the-loop. In IEE/IEEE Sheffield ’95 [1767], pages 158–163.
†conf.prog ga95aBaxter.
[1027] S. F. Beckwith and K. P. Wong. A genetic algorithm approach for electric pump scheduling in water supply
systems. In ICEC’95 [1785], pages 21–26. †prog. ga95aBeckwith.
[1028] Christian Bierwirth, Herbert Kopfer, Dirk C. Mattfeld, and Ivo Rixen. Genetic algorithm based scheduling
in a dynamic manufacturing environment. In ICEC’95 [1785], pages 439–443. †prog. ga95aBierwirth.
[1029] Mark Clarkson. Moody’s evolving help desk. Byte, 20(2):76–78,80, February 1995. ga95aClarkson.
[1030] Daniel Costa. An evolutionary tabu search algorithm and the NHL scheduling problem. INFOR, 33(3):161–
178, August 1995. †CCA 77632/95 ga95aCosta.
100
Genetic algorithms in operations research
[1031] Michael D. DeChaine and Madeline Anne Feltus. Nuclear fuel. Nuclear Technology, 111(1):109–114, July
1995. ga95aDeChain.
[1032] S. J. Dickinson and A. Bradshaw. Genetic algorithm optimisation and scheduling for building heating
systems. In IEE/IEEE Sheffield ’95 [1767], pages 106–111. ga95aDickinson.
[1033] J. N. Didriksen. Genetic algorithms and production scheduling. In A. ˚
Amodt and J. Komorowski, editors,
SCAI’95 Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence, volume 28 of Frontiers
in Artificial Intelligence and Applications, pages 386–390, Trondheim (Norway), 29.-31. May 1995. IOS
Press, Amsterdam. †P66993/95 ga95aDidriksen.
[1034] Markus Ettl and Markus Schwehm. Determining the optimal network partition and Kanban allocation in
JIT production lines. In Biethahn and Nissen [1754], pages 139–152. ga95aEttl.
[1035] H. Fujimoto, C. Lian-yi, Y. Tanigawa, and K. Iwahashi. FMS scheduling by hybrid approaches using genetic
algorithm and simulation. In IEE/IEEE Sheffield ’95 [1767], pages 442–447. †conf.prog ga95aFujimoto.
[1036] Gyoung H. Kim and C. S. George Lee. Genetic reinforcement learning approach to the machine scheduling
problem. In Proceedings of the 1995 IEEE International Conference on Robotics and Automation, volume 1,
pages 196–201, Nagoya (Japan), 21.-27. May 1995. IEEE, New York. ga95aGHKim.
[1037] Belzyt Gonzalez, Michel Torres, and Jose A. Moreno. A hybrid genetic algorithm approach for the ’no-wait’
flowshop scheduling problem. In IEE/IEEE Sheffield ’95 [1767], pages 59–64. †conf.prog ga95aGonzalez.
[1038] G. W. Grewal, T. C. Wilson, and D. A. Stacey. An enhanced genetic formulation for scheduling, module
allocation, and binding in VLSI design. In Proceedings of the Artificial Neural Networks in Engineering
(ANNIE’95), volume 5, pages 381–386, St. Louis, MO, 12.-15. November 1995. ASME Press, New York,
NY. †EEA11077/97 ga95aGrewal.
[1039] Hyunchul Kim, Yasuhiro Hayashi, and Koichi Nara. The performance of hybridized algorithm of GA SA
and TS for thermal unit maintenance scheduling. In ICEC’95 [1785], pages 114–119. †prog. ga95aHKim.
[1040] Harutoshi Okai. Method for scheduling physical distribution in rolling mill, 1995. (JP patent no. 729012.
Issued November 7 1995) * fi.espacenet.com ga95aHOkai.
[1041] M. J. M. Heijligers and J. A. G. Jess. High-level synthesis scheduling and allocation using genetic algorithms based on constructive topological scheduling techniques. In ICEC’95 [1785], pages 56–61. †prog.
ga95aHeijligers.
[1042] Joanna J´
ozefowska, Rafal R´
oz˙ ycki, and J. W¸eglarz. A genetic algorithm to some discrete-continuous
scheduling problems. In Pearson et al. [1753], pages 273–276. ga95aJozefowska.
[1043] Akimoto Kamiya, Isao Ono, Masayuki Yamamura, and Shigenobu Kobayashi. Thermal power plant startup scheduling with evolutionary computation by using an enforcement operator. In IEEE-SMC’95 [1771],
pages 1372–1379. * EI M041241/96 ga95aKamiya.
[1044] Sanjay Kapoor. A variable complexity genetic algorithm for job allocation. In Koza [1796], page ? †Koza
ga95aKapoor.
[1045] Cees H. M. van Kemenade, C. F. W. Hendriks, and Joost N. Kok. Evolutionary computation in air
traffic control planning. In Eshelman [1765], page ? (//www.cwi.nl{/~{}}kemenade/Articles) †prog
ga95aKemenade.
[1046] M. K. Dhodhi, I. Ahmad, and K. A. Saleh. Task scheduling using an evolutionary technique. In Proceedings
of the Seventh IASTED/ISMM International Conference Parallel and Distributed Computing and Systems,
pages 21–23, Washington, CA (USA), 19.-21. October 1995. IASTED-ACTA Press, Anaheim, CA (USA).
†CCA22990/98 ga95aMKDhodhi.
[1047] G. McMahon and D. Hadinoto. Comparison of heuristic search algorithms for single machine scheduling
problems. In Yao [1755], pages 293–304. * CCA 77661/95 ga95aMcMahon.
[1048] W. Mergenthaler, W. Stadler, H. Wilbertz, and N. Zimmer. Optimizing automotive manufacturing sequences using simulated annealing and genetic algorithms. Control Engineering Practice, 3(4):569–573,
April 1995. * CCA 37458/95 ga95aMergenthaler.
[1049] Koji Morikawa, Takeshi Furuhashi, and Yoshiki Uchikawa. Cooperation and evolution of scheduling system
with genetic algorithms. In ICEC’95 [1785], pages 491–494. †prog. ga95aMorikawa.
[1050] S. O. Orero and M. R. Irving. Scheduling of generators with a hybrid genetic algorithm. In IEE/IEEE
Sheffield ’95 [1767], pages 200–206. ga95aOrero.
[1051] Chrisila C. Pettey, Thomas D. Wagner, and Lawrence W. Dowdy. Using GAs to characterize workloads.
In Eshelman [1765], page ? †prog ga95aPettey.
Bibliography
101
[1052] Luis Rabelo, Albert Jones, and Yuehwern Yih. Practical handbook of genetic algorithms. In Chambers
[1786], chapter 9. A hybrid approach using neural networks, simulation, genetic algorithms, and machine
learning for real-time sequencing and scheduling problems, pages 197–220. ga95aRabelo.
[1053] C. P. Ravikumar and A. K. Gupta. Genetic algorithm for mapping tasks onto a reconfigurable parallel processor. IEE Proceedings, Computers and Digital Techniques, 142(2):81–86, March 1995. * EI M112473/95
ga95aRavikumar.
[1054] Ivo Rixen, Christian Bierwirth, and Herbert Kopfer. A case study of operational just-in-time scheduling
using genetic algorithms. In Biethahn and Nissen [1754], pages 112–123. †Schwehm ga95aRixen.
[1055] V. Salim and X. Cai. Scheduling cargo trains using genetic algorithms. In ICEC’95 [1785], pages 224–227.
†prog. ga95aSalim.
[1056] Markus Schwehm. Optimierung der Partitionierung und Kanban-Zuordnung bei JIT-Fertigungsstraßen.
In Jochen Kuhl and Volker Nissen, editors, Evolution¨
are Algorithmen in Management-Anwendungen,
pages 11–20, G¨
ottingen (Germany), 23. February 1995. Georg-August-Universit¨
at G¨
ottingen. (in German) ga95aSchwehm.
[1057] Angus R. Simpson. New techniques for optimising the design and scheduling for irrigation systems. In
?, editor, ?, volume ?, page ?, Bundaberg, Queensland, Australia, 10. March 1995. ? †Lazauskas/bib
ga95aSimpson.
[1058] Dipti Srinivasan and G. B. Tettamanzi. An integrated framework for devising optimum generation schedules. In ICEC’95 [1785], pages 1–4. †prog. ga95aSrinivasan.
[1059] E. Stefanitsis, N. Christodoulou, and J. Psarras. Combination of genetic algorithms and clp in the vehiclefleet scheduling problem. In Pearson et al. [1753], pages 22–25. ga95aStefanitsis.
[1060] Roberto Tadei, C. A. Alfieri, P. Baracco, Federico Della Croce, F. Rizzante, and M. L. Sbodio. A genetic algorithm for the rostering problem (FARO tender). In ?, editor, Proceedings of the AIRO Annual
Conference, volume ?, page ?, Ancona (Italy), ? 1995. ? †[1164] ga95aTadei.
[1061] Julio Tanomaru. Staff scheduling by a genetic algorithm with heuristic operators. In ICEC’95 [1785], pages
456–461. †prog. ga95aTanomaru.
[1062] B. C. H. Turton and T. Arslan. A parallel genetic VLSI architecture for combinatorial real-time applications
- disc scheduling. In IEE/IEEE Sheffield ’95 [1767], pages 493–498. †conf.prog ga95aTurton.
[1063] Yukio Umetani. Method for scheduling instruction string, 1995. (JP patent no. 7110768. Issued April 25
1995) * fi.espacenet.com ga95aYUmetani.
[1064] Kelvin K. Yue and David J. Lilja. Practical handbook of genetic algorithms. In Chambers [1786], chapter
7. Parameter estimation for a generalized parallel loop scheduling algorithm, pages 155–171. ga95aYue.
[1065] Muhammad K. Dhodhi, Imtiaz Ahmad, and Ishfaq Ahmad. A multiprocessor scheduling scheme using
problem-space genetic algorithms. In ICEC’95 [1785], pages 214–219. †prog. ga95bDhodhi.
[1066] F. Li, R. Morgan, D. Williams, and Yong-Hua Song. Constrained economic dispatch scheduling in a real
public electricity supply system a genetic approach. In ?, editor, Proceedings of the 1995 30th Universities
Power Engineering Conference, volume 2, pages 439–442, London (UK), 5.-7. September 1995. University
of Greenwich. * EEA 111542/96 EI M019756/95 ga95bFLi.
[1067] J. Fasung, J. Hajduk, L. Benuskova, and V. Vojtek. Optimization of the total communication cost of mapping of processes onto processor by means of a genetic algorithm. In Proceedings of the 17th International
Conference on Information Technology Interfaces, pages 205–210, Pula, Croatia, 13.-16. June 1995. Univ.
Zagreb 1995, Zagred, Croatia. †CCA94357/95 ga95bFasung.
[1068] S. Fichera, V. Grasso, A. Lombardo, and E. Lovalvo. Genetic algorithms efficiency in flow-shop scheduling. In Proceedings of the 10th International Conference on the Applications of Artificial Intelligence in
Engineering, page ?, Udine, Italy, July 1995. Computational Mechanics Publications, Ltd., Southhampton,
UK. †P68088 ga95bFichera.
[1069] Bogdan Filipiˇc. An evolutionary approach to scheduling in a large-scale production system. Elektroteh.
Vestn. (Slovenia), 62(3-4):217–223, 1995. †CCA69647/95 ga95bFilipic.
[1070] Hideo Fujimoto, Yuao Tanigawa, Kazuhiko Yasuda, and Kazuhiko Iwahashi. Applications of genetic
algorithm and simulation to dispatching rule-based FMS scheduling. In Proceedings of the 1995 IEEE
International Conference on Robotics and Automation, volume 1, pages 190–195, Nagoya (Japan), 21.27. May 1995. IEEE, New York. ga95bFujimoto.
102
Genetic algorithms in operations research
[1071] J. C. Gilkinson, L. C. Rabelo, and B. O. Bush. A real-world scheduling problem using genetic algorithms.
Computers & Industrial Engineering, 29(?):177–181, 1995. †CCA86922/95 ga95bGilkinso.
[1072] Garrison W. Greenwood and Ajay Gupta. Scheduling replicated critical tasks in faulty networks using
evolutionary strategies. In ICEC’95 [1785], pages 152–156. †prog. ga95bGreenwood.
[1073] Y. Ikkai, M. Inoue, T. Ohkawa, and N. Komoda. A learning method of scheduling knowledge by genetic
algorithm. In Proceedings of the 1995 IEEE Symposium on Emerging Technologies and Factory Automation,
volume 1, pages 641–648, Paris, France, 10.-13. October 1995. IEEE Computer Society Press, Los Alamitos,
CA. †CCA27380/96 ga95bIkkai.
[1074] A. Ishikawa, M. Morikawa, M. Kishi, H. Kutsuyama, H. Kawata, and K. Tsukamoto. An application
of genetic algorithms to production scheduling considering the division of orders. Transactions of the
Institute of Electrical Engineers of Japan C, 115-C(11):1338–1344, 1995. (In Japanese) †CCA27354/96
ga95bIshikawa.
[1075] Werner Junginger. Course scheduling by genetic algorithms. In Biethahn and Nissen [1754], pages 357–368.
†Schwehm ga95bJunginger.
[1076] E. Mayrand, P. Lefrancois, O. Kettani, and M.-H. Jobin. A genetic search algorithm to optimize job
sequencing under a technological constraint in a rolling-mill facility. OR Spektrum, 17(2-3):183–191, 1995.
†CCA88357/95 ga95bMayrand.
[1077] Y. Mizukami, H. Matsushita, Y. Hanaki, N. Ohnishi, and N. Sugie. A GA-based planning of simultaneous
machining sequence for turning. Transactions of the Society of Instrument and Control Engineers (Japan),
31(5):591–597, 1995. †CCA62778/95 ga95bMizukami.
[1078] Kojima Morikawa, Takeshi Furuhashi, and Yoshiki Uchikawa. A cooperative scheduling method with
genetic algorithm for CIM. Transactions of the Society of Instrument and Control Engineers (Japan),
31(5):606–614, 1995. †CCA67796/95 ga95bMorikawa.
[1079] Masaharu Munetomo, Yoshiaki Takai, and Yoshiharu Sato. Stochastic genetic algorithm for dynamic load
balancing in distributed systems. In Proceedings of the 1995 IEEE International Conference on Systems,
Man and Cybernetics, volume 4, pages 3795–3799, Vancouver, BC (Canada), 22.-25. October 1995. IEEE,
Piscataway, NJ. †EI M035891/95 ga95bMunetomo.
[1080] Pai-Chou Wang and W. Korfhage. Process scheduling using genetic algorithms. In Proceedings of the
Seventh IEEE Symposium on Parallel and Distributed Processing, pages 638–641, San Antonio, TX, 25.28. October 1995. IEEE Computer Society Press, Los Alamitos , CA. †CCA5213/96 ga95bP-CWang.
[1081] Runwei Cheng, Mitsuo Gen, and Tatsumi Tozawa. Minmax earliness/tardiness scheduling in identical
parallel method. Computers & Industrial Engineering, 29(?):513–517, 1995. †CCA92829/95 ga95bRCheng.
[1082] S. Inoue and H. Siizuka. 1-machine scheduling problem by genetic algorithm. Res. Rep. Kogakuin Univ.
(Japan)Eng. Des. (USA), ?(78):207–210, 1995. †CCA44656/96 ga95bSInoue.
[1083] Simon J. T. Liang and M. Mannion. Scheduling of a flexible assembly system using genetic algorithms. In
Proceedings of the 11th International Conference on Computer-Aided Production Engineering, volume 1995,
page 321pp, London (England), 20.-21. September 1995. Mechanical Engineering Publications, Edmunds.
†P68153 ga95bSJTLiang.
[1084] Tadahiko Murata, Hisao Ishibuchi, and Hideo Tanaka. Flowshop scheduling by genetic algorithm and its
application to multi-objektive problems. Transactions of the Society of Instrument and Control Engineers
(Japan), 31(5):583–590, 1995. †CCA66281/95 ga95bTMurata.
[1085] Julio Tanomaru. Staff sceduling by a genetic algorithm with heuristic operators. In Proceedings of the 1995
IEEE International Conference on Systems, Man and Cybernetics, volume 3, pages 1951–1956, Vancouver,
BC (Canada), 22.-25. October 1995. IEEE, New York, NY. †CCA1884/96 ga95bTanomaru.
[1086] Frantisek Vavak, Terence C. Fogarty, and Ken Jukes. Application of the genetic algorithm for load balancing
in the process industry. In Oˇsmera [1797], pages 159–164. ga95bVavak.
[1087] B. W. Wah, A. Ieumwananonthachai, Lon-Chan Chu, and A. N. Aizawa. Genetics-based learning of new
heuristics: rational scheduling of experiments and generalization. IEEE Transactions of Knowlledge and
Data Engineering, 7(5):763–785, 1995. †CCA94535/95 ga95bWah.
[1088] R. J. Abbott, M. L. Campbell, and W. C. Krenz. A sustainable genetic algorithm for satellite resource
allocation. Telematics and Informatics, 12(3-4):141–159, 1995. †EEA88412/96 ga95cAbbott.
[1089] Imtiaz Ahmad and Muhammad K. Dhodhi. Task assignment using a problem-space genetic algorithm.
Concurrency: Practice and Experience, 7(5):411–428, August 1995. ga95cAhmad.
Bibliography
103
[1090] Runwei Cheng, Mitsuo Gen, and M. Sasaki. Film-copy deliverer problem using genetic algorithms. Computers & Industrial Engineering, 29(?):549–553, 1995. †CCA88634/95 ga95cRCheng.
[1091] Simon J. T. Liang and John M. Lewis. Sparse matrix representation for production scheduling using
genetic algorithms. In Proceedings of the 1995 ACM Symposium on Applied Computing, pages 313–317,
Nashville, TN, 26.-28. February 1995. ACM, New York, NY. †EI M195245/95 ga95cSJTLiang.
[1092] Julio Tanomaru. Genetic algorithm solution of a heterogeneous workforce scheduling problem. In Proceedings of the ISCA International Conference, Fourth Golden West Conference on Intelligent Systems, pages
1–5, San Francisco, CA, 12.-14. June 1995. Int. Soc. Comput. & Their Appl.-ISCA, Raleigh, NC (USA).
†CCA88300/95 ga95cTanomaru.
[1093] Imtiaz Ahmad, Muhammad K. Dhodhi, and Arif Gafoor. Task assignment in distributed computing
systems. In Proceedings of the 1995 IEEE 14th Annual International Phoenix Conference on Computers
and Communications, pages 49–53, Scottsdale, AZ, 28.-31. March 1995. IEEE, Piscataway, NJ. * EI
M142878 ga95eAhmad.
[1094] Kit Po Wong and Yin Wa Wong. Thermal generator scheduling using hybrid genetic/simulated-annealing
approach. IEE Proceedings C: Generation, Transmission and Distribution, 142(4):372–380, July 1995.
ga95eKPWong.
[1095] Yoshikazu Fukuyama and Hiroshi Endo. Method for determining introducing order of power source, 1996.
(JP patent no. 8314882. Issued November 29 1996) * fi.espacenet.com ga96YFukuyama.
[1096] Matthew Bartschi Wall. A Genetic Algorithm for Resource-Constrained Scheduling. PhD thesis, Massachusetts Institute of Technology, 1996. ga96a ⇒ http://en.wikipedia.org/wiki/Genetic_algorithm_
scheduling.
[1097] A. K. Gupta and G. W. Greenwood. Applications of evolutionary strategies to fine-grained task scheduling.
Parallel Processing Letters (Singapore), 6(4):551–561, 1996. †CCA39229/97 ga96aAKGupta.
[1098] A. Kamiya, H. Kimura, M. Yamamura, and S. Kobayashi. Power-plant start-up scheduling - a reinforcement
learning approach combined with evolutionary computation. Journal of Intelligent & Fuzzy Systems,
6(1):99–116, 1996. †P81724 ga96aAKamiya.
[1099] C. J. Aldridge, J. R. McDonald, and S. McKee. Review of generation scheduling using genetic algorithms.
In ?, editor, Proceedings of the 1996 31st Universities Power Engineering Conference, volume 1, pages
66–69, Iraklio (Greece), 18.-20. September 1996. Technological Educational Institute, Iraklio (Greece). *
EI M004272/97 ga96aAldridge.
[1100] Stephen S. Altus, Ilan M. Kroo, and Peter J. Gage. Genetic algorithm for scheduling and decomposition of
multidisciplinary design problems. Journal of Mechanical Design, Transactions of the ASME, 118(4):486–
489, 1996. ga96aAltus.
[1101] B. Lu, H. Kubo, and H. Sugimoto. Application of GA to scheduling problem using repetitive bit replacing
method (2-opt). In Proceedings of the International Conference on Advances in Production Management
Systems - APMS’96, pages 537–542, Kyoto (Japan), 4.-6. November 1996. Kyota Univ. 1996 (Kyota,
Japan). †CCA35003/97 ga96aBLu.
[1102] F. F. Boctor. Resource-constrained project scheduling by simulated annealing. Int. J. Prod. Res. (UK),
34(8):2335–2351, 1996. †EI M149635/96 ga96aBoctor.
[1103] Chuen-Lung Chen, Venkata Ranga Neppalli, and Nasser Aljaber. Genetic algorithms applied to the
continuous-flow shop problem. Computers & Industrial Engineering, 30(4):919–930, ? 1996. (Proceedings
of the 16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar.
1994) †P69502 ga96aCLChen.
[1104] R. C. Correa, A. Ferreira, and P. Rebreyend. Integrating list heuristics into genetic algorithms for multiprocessor scheduling. In Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing,
volume ?, pages 462–469, New Orleans, LA, 23.-26. October 1996. IEEE, Comput. Soc. Press, Los Alamitos,
CA. †CCA12531/97 ga96aCorrea.
[1105] Lamia Djerid and Marie-Claude Portmann. Genetic algorithm operators restricted to precedent constraint
sets: genetic algorithm designs with or without branch and bound approah for solving sceduling problems
with disjunctive constraints. In Proceedings of the 1996 IEEE International Conference on Systems, Man
and Cybernetics, volume 4, pages 2922–2927, Beijing, China, 14.-17. October 1996. IEEE, Piscataway, NJ.
†EI M036397/97 ga96aDjerid.
[1106] Klaudia Dussa-Zieger. Task scheduling on configurable parallel systems by genetic algorithm. In Proceedings of the International Conference on Telecommunication Distribution Parallelism (TDP96), pages
485–494, ?, ? 1996. ? †[1277] ga96aDussa-Zieger.
104
Genetic algorithms in operations research
[1107] A. Gupta, P. D. Jog, and S. T. Webster. Using genetic algorithms for scheduling with multiple families and
setup times. In D. L. Hudson M. E. Cohen, editor, Proceedings of the ISCA 11th International Conference
on Computers and Their Applications, page 298pp, San Francisco, CA, 7.-9. March 1996. International
Society Computers & Their Application (Isca), Raleight. †P73329 ga96aGupta.
[1108] Claus Hillermeier and Joachim Keppler. An application of genetic algorithms and neural networks to
scheduling power generating systems. In Voigt et al. [1768], pages 811–818. ga96aHillermeier.
[1109] Markus H¨
ohfeld. Industrial applications of evolutionary algorithms at Siemens AG. In Alander [1772],
pages 183–194. (ftp://ftp.uwasa.fics/2NWGA/Hoehfeld.ps.Z) ga96aHohfeld.
[1110] Y. Ikkai, M. Inoue, T. Ohkawa, and N. Komoda. A learning method of scheduling knowledge by genetic
algorithm. Transactions of the Institute of Electrical Engineera of Japan C, 116-C(5):577–583, 1996. (In
Japanese) †CCA15442/97 ga96aIkkai.
[1111] Jae-Kwan Lee and Yeong-Dae Kim. Search heuristics for resource constrained project scheduling. J. Oper.
Res. Soc., 47(5):678–689, 1996. †EI M099450/96 ga96aJ-KLee.
[1112] J. O. Yang, Y. F. Li, and D. Y. Liu. A genetic algorithms in determining the shortest time of dai plan.
In Z. K. Lin and J. P. Barthes, editors, Proceedings of the International Workshop on CSCW in Design,
page ?, Beijing, Peoples R , China, 8.-11. May 1996. Int. Academic Publ, Beijing. †P68053 ga96aJOYang.
[1113] N. Jawahar, P. Aravindan, and S. G. Ponnambalam. Genetic algorithm for FMS scheduling. In Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing, volume 1, pages
478–483, Aachen (Germany), 2.-5. September 1996. Verlag Mainz, Aachen (Germany). †CCA43794/98
ga96aJawahar.
[1114] K. A. Osman and A. M. Higginson. Efficient power source scheduling using genetic algorithms - a feasibility
study. In B. Katalinic, editor, Proceedings of 7th International DAAAM Symposium, pages 313–314,
Vienna, Austria, 17.-19. October 1996. DAAAM. ga96aKAOsman.
[1115] K. J. Shaw and P. J. Fleming. Initial study of practical multi-objective production scheduling using genetic
algorithms. In Proceedings of the 1996 UKACC International Conference on Control, pages ?–484, Exeter
(UK), 2.-5. September 1996. IEE, Stevenage (UK). †EI M012157/97 ga96aKJShaw.
[1116] Kit Po Wong and Suzannah Yin Wa Wong. Combined genetic algorithm/simulated annealing/fuzzy set
approach to short-term generation scheduling with take-or-pay fuel contract. IEEE Transactions on Power
Systems, 11(1):128–135, February 1996. (1995 IEEE Power Industry Computer Application Conference
(PICA 95)) ga96aKPWong.
[1117] K. Terano, Y. Yao, K. Okamoto, Y. Hashimoto, I. Nishikawa, T. Watanabe, and H. Tokumaru. Application
of simulated annealing method and genetic algorithm to scheduling problems in plastic injection molding.
In ?, editor, Proceedings of the Japan-USA Sy,posium on Flexible Automation, volume 2, pages 1225–1228,
Boston, MA, 7.-10. July 1996. ASME, New York, NY. †CCA97957/97 ga96aKTerano.
[1118] Akimoto Kamiya, Masayuki Yamamura, and Shigenobu Kobayashi. Optimal power plant start-up scheduling: a reinforcement learning approach combined with evolutionary computation. In Proceedings of the
4th International Conference on Soft Computing, volume 2, pages 519–524, Fukuoka, Japan, 30. Sep - 5.
Oct 1996. World Scientific, Singapore. †CCA59909/97 ga96aKamiya.
[1119] S. Katoh, Mutsunori Yagiura, and Toshihide Ibaraki. Application of genetic algorithms to the single machine scheduling problem under changing environment. In Proceedings of the International Conference on
Advances in Production Management Systems - APMS’96, pages 543–546, Kyoto (Japan), 4.-6. November
1996. Kyoto Univ. (Kyoto, Japan). †CCA35358/97 ga96aKatoh.
[1120] Loi Lei Lai, J. T. Ma, F. Ndeh-Che, Kit Po Wong, and Suzannah Yin Wa Wong. Discussion [of [1798]].
IEEE Transactions on Power Systems, 11(1):136, February 1996. ga96aLLLai.
[1121] M. J. Lipton and H. P. Rosenof. Genetic algorithms solve batch scheduling problems, maintain flexibility.
I & CS (USA), 69(5):43–47, 1996. †CCA75048/96 ga96aLipton.
[1122] S. J. Louis and Z. J. Xu. Genetic algorithms for open shop sceduling and re-scheduling. In M. E. Cohen
and D. L.Hudson, editors, Proceedings of the ISCA 11th International Conference on Computers and
Their Applicatons, page ?, San Francisco, CA, 7.-9. March 1996. International Society Computers & Their
Applications (Isca), Raleigh. †P73329 ga96aLouis.
[1123] Mitsuhiro Kitagawa. Raw material yard operation plan preparing method, 1996. (JP patent no. 8040560.
Issued February 13 1996) * fi.espacenet.com ga96aMKitagawa.
[1124] Malcolm McIlhagga, Phil Husbands, and Robert Ives. A comparison of optimization techniques for integrated manufacturing planning and scheduling. In Voigt et al. [1768], pages 604–613. ga96aMcIlhagga.
Bibliography
105
[1125] Norhashimah Morad and A. M. S. Zalzala. Formulations for cellular manufacturing and batch scheduling using genetic algorithms. In Proceedings of the 1996 UKACC International Conference on Control,
volume ?, pages 473–478, Exeter (UK), 2.-5. September 1996. IEE, Stevenage (UK). †EI M008272/97
ga96aMorad.
[1126] O. C. Lopez, R. M. Barcia, O. Eyada, and F. O. Gauthier. An evolutionary algorithm for resourceconstrained project scheduling and multiple execution modes. In Proceedings of the Advances in Artificial
Intelligence 13th Brazilian Symposium on Artificial Intelligence, SBIA96, pages 101–110, Curitiba, Brazil,
23.-25. October 1996. Springer-Verlag, Berlin (Germany). †CCA19667/97 ga96aOCLopez.
[1127] Pai-Chuan Yang, Hong-Tzer Yang, and Ching-Lien Huang. Scheduling short-term hydrothermal generation using evolutionary programming techniques. IEE Proceedings C: Generation, Transmission and
Distribution, 143(4):371–376, July 1996. ga96aP-CYang.
[1128] Po-Hung Chen and Hong-Chan Chang. Genetic aided scheduling of hydraulically coupled plants in hydrothermal coordination. IEEE Transactions on Power Systems, 11(2):975–981, May 1996. ga96aP-HChen.
[1129] P. Koch, N. Larsen, T. Bauer, and O. Ejlersen. GENETICAS: a multi-DSP scheduling technique based on
genetic algorithms. In Proceedings of the Conference Record of Thirtieth Asilomar Conference on Signals,
Systems and Computers, volume 2, pages 1391–1395, Pacific Grove, CA (USA), 3.-6. November 1996. IEEE
Computer Society Press, Los Alamitos, CA. †CCA95279/97 ga96aPKoch.
[1130] J. Pet-Edwards and M. Mollaghasemi. A simulation and genetic algorithm approach to stochastic research
constrained project scheduling. In Proceedings of the Conference Record, volume ?, pages 333–338, Orlando,
FL, 25.-27. June 1996. IEEE, New York, NY. †CCA91994/96 ga96aPet-Edwards.
[1131] Marie-Claude Portmann. Genetic algorithms and scheduling: a state of the art and some propositions.
In Proceedings of the Workshop on Production Planning and Control, pages i–xxiv, Mons (Belgium), 9.11. September 1996. FUCaM, Mons (Belgium). ga96aPortman.
[1132] Runwei Cheng and Mitsuo Gen. Parallel machine scheduling problems using mimetic algorithms. In
Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics, volume 4, pages
2665–2670, Beijing, China, 14.-17. October 1996. IEEE, Piscataway, NJ. †EI M031191/97 ga96aRCheng.
[1133] Rema Padman and Stephen F. Roehrig. A genetic programming approach for heuristic selection in
constrained project scheduling. In Interfaces in Computer Science and Operations Research: Advances
in Metaheuristics, Optimization, and Stochastic Modeling Technologies, pages 405–422, 1996. †P75661
ga96aRPadman.
[1134] A. Roach and R. Nagi. Selection of features for signature verification using the genetic algorithm. Computers & Industrial Engineering, 30(4):1047–1060, ? 1996. (Proceedings of the 16th Annual Conference on
Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar. 1994) †P69502 ga96aRoach.
[1135] S. Inoue and H. Shiizuka. A solution of scheduling problem by genetic algorithm. Res. Rep. Kogakuin
Univ. (Japan), ?(80):119–123, 1996. (In Japanese) †CCA1398/97 ga96aSInoue.
[1136] Soraya Rana, A. E. Howe, L. Darrell Whitley, and Keith E. Mathias. Comparing heuristic, and local
search approaches to scheduling. In Proceedings of the Third International Conference on Artificial Intelligence Planning Systems, pages 174–181, Edinburg, UK, 29.-31. May 1996. AAAI Press, Menlo Park, CA.
†CCA58329/99 ga96aSRna.
[1137] Masatoshi Sakawa, Kosuke Kato, and T. Mori. Flexible scheduling in a machining center through genetic
algorithms. Computers & Industrial Engineering, 30(4):931–940, ? 1996. (Proceedings of the 16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar. 1994) †P69502
ga96aSakawa.
[1138] Nobuo Sannomiya and Hitoshi Iima. Genetic algorithm approach to a modified flowshop scheduling problem. In ?, editor, Proceedings of the Japan-USA Symposium on Flexible Automation, volume 2, pages
1229–1234, Boston, MA, 7.-10. July 1996. ASME, New York, NY. †CCA97958/97 ga96aSannomiya.
[1139] K. J. Shaw and P. J. Fleming. Initial study of multi-objective genetic algorithms for scheduling the
production of chilled ready meals. In Oˇsmera [1787], pages 143–148. ga96aShaw.
[1140] A. Shinagawa and H. Okada. Practical vehicle scheduling with a high-speed hybrid GA. Fujitsu Sci. Tech.
J. (Japan), 32(2):287–294, 1996. †CCA31614/97 ga96aShinagawa.
[1141] R. Sikora. A genetic algorithm for integrating lot-sizing and sequencing in scheduling a capacitated flow line.
Computers & Industrial Engineering, 30(4):969–982, ? 1996. (Proceedings of the 16th Annual Conference
on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar. 1994) †P69502 ga96aSikora.
106
Genetic algorithms in operations research
[1142] B. Skolud. Genetic algorithms in scheduling. In B. Katalinic, editor, Proceedings of the 7th International
DAAAM Symposium, pages 413–414, Vienna, Austria, 17.-19. October 1996. ga96aSkolud.
[1143] Jagabandhu Sridhar and Chandrasekharan Rajendran. Scheduling in flowshop and cellular manufacturing
systems with multiple objectives - a genetic algorithmic approach. Prod. Plann Control, 7(4):374–382,
1996. †EI M111194/96 ga96aSridhar.
[1144] Kerry Swinehart, Mahmoud Yasin, and Eduardo Guimaraes. Applying an analytical approach to shopfloor scheduling: A case study. Int. J. Mater. Prod. Technol., 11(1-2):98–107, 1996. †EI M132810/96
ga96aSwinehar.
[1145] Tadahiko Murata, Hisao Ishibuchi, and H. Tanaka. Multiobjective genetic algorithm and its applications
to flowshop scheduling. Computers & Industrial Engineering, 30(4):957–968, ? 1996. (Proceedings of the
16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar. 1994)
†P69502 ga96aTMurata.
[1146] Julio Tanomaru. Solution of a difficult workforce scheduling problem by a genetic algorithm. Transactions of the Information Processing Society of Japan, 37(8):1553–1564, 1996. In Japanese †CCA6363/97
ga96aTanomaru.
[1147] A. K. Tripathi, D. P. Vidyarthi, and A. N. Mantri. A genetic task allocation algorithm for distributed
computing systems incorporating problem specific knowledge. Int. J. High Speed Comput. (Singapore),
8(4):363–370, 1996. †CCA85561/97 ga96aTripathi.
[1148] Y. Tsujimura and M. Gen. Genetic algorithms for solving multiprocessor scheduling problems. In ?, editor,
Proceedings of the First Asia-Pacific Conference Simulated Evolution and Learning, pages 106–115, Taejon
(Korea), 9.-12. November 1996. Springer-Verlag, Berlin (Germany). †CCA84214/97 ga96aTsujimura.
[1149] William J. Wolfe, David Wood, and Steve Sorensen. Scheduling algorithms. In Bartholomew O. Nnaji,
editor, Advanced Sensor and Control-System Interface, volume SPIE-2911, pages 129–140, ?, December
1996. The International Society for Optical Engineering. * www/SPIE Web ga96aWJWolfe.
[1150] W. Liu, Masahiro Murakawa, and T. Higuchi. ATM cell scheduling by function level evolvable hardware. In
?, editor, Proceedings of the First International Conference Evolvable Systems: From Biology to Hardware,
pages 180–192, Tsukuba, Japan, 7.-8. October 1996. Springer-Verlag, Berlin (Germany). †CCA73662/97
ga96aWLiu.
[1151] Gerald Weigert and Ralf Schulze. Genetic algorithms schedule todays manufacturing process. In Oˇsmera
[1787], pages 192–196. ga96aWeigert.
[1152] R. J. Abbott, M. L. Campbell, and W. C. Krenz. Scheduling robotic actions by genetic algorithms.
Teleoperators and virtual environments, 5(2):191–204, 1996. †A96-33987 ga96bAbbott.
[1153] Imtiaz Ahmad and Muhammad K. Dhodhi. Multiprocessor scheduling in a genetic paradigm. Parallel
Computing, 22(3):395–406, March 1996. ga96bAhmad.
[1154] Robert W. Amphlett and David R. Bull. Genetic algorithm based DSP multiprocessor scheduling. In
Proceedings of the 1996 IEEE International Symposium on Circuits and Systems, volume 2, pages 253–
256, Atlanta, GA, 12.-15. May 1996. IEEE, Piscataway, NJ. * EI M159227/96 ga96bAmphlett.
[1155] Nirwan Ansari, A. Arulambalam, and S. Balasekar. Traffic management of a satellite communication
network using stochastic optimization. IEEE Transactions on Neural Networks, 7(3):732–744, 1996.
†CCA54328/96 ga96bAnsari.
[1156] Milton L. Cone and Stan Musick. Scheduling for sensor management using genetic search. In Proceedings
of the IEEE 1996 National Aerospace and Electronics Conference, volume 1, pages 150–156, Dayton, KY
(USA), 20.-23. May 1996. IEEE, Piscataway, NJ. †EI M154307/96 ga96bCone.
[1157] Masashi Furukawa, Michiko Watanabe, Yuya Tamayama, and Yukinori Kakazu. Multi-AGV scheduling
for FMS with one-way driving lane (solving a scheduling problem by use of GA). Nippon Kikai Gakkai
Ronbunshu C Hen, 62(595):1217–1222, 1996. †EI M108731/96 ga96bFurukawa.
[1158] G. H. Kim and C. S. G. Lee. Genetic reinforcement learning for scheduling heterogeneous machines. In
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, volume 3, pages
2798–2803, Minneapolis, MN, 22.-28. April 1996. IEEE, New York, NY. †CCA70311/96 ga96bGHKim.
[1159] V. Gorrini and Marco Dorigo. An application of evolutionary algorithms to the scheduling of robotic
operations. In Proceedings of the European Conference, Artificial Evolution, pages 345–354, Brest (France),
4.-6. September 1996. Springer-Verlag, Berlin (Germany). †53997/96 ga96bGorrini.
[1160] Alay Gupta and Garrison W. Greenwood. Static allocation using µ, λ) evolutionary strategies. Information
Sciences, 94(1-4):141–150, 1996. †Altavista/Greenwood ga96bGreenwood.
Bibliography
107
[1161] H. Tamaki, T. Mukai, K. Kawakami, and M. Araki. Genetic algorithm approach to multi-objective scheduling problem in plastics forming plant. In Proceedings of the International Conference on Advances in
Production Management Systems - APMS’96, pages 553–556, Kyoto (Japan), 4.-6. November 1996. Kyota
Univ. (Kyota, Japan). †CCA35359/97 ga96bHTamaki.
[1162] M. Hulsemann, H. Muller, and H. Wetzlinger. Economic short term scheduling for a run-of-river-plant
chain by combined LP and genetic optimization. In Proceedings of the Fourth International Conference
on Power System Control and Management, pages 42–46, London, UK, 16.-18. April 1996. IEE, London,
UK. †EEA 59549/96 ga96bHulseman.
[1163] Hisao Ishibuchi, Tadahiko Murata, and Kyu Hung Lee. Formulation of fuzzy flowshop scheduling problems
with fuzzy processing time. In Proceedings of the 1996 5th IEEE International Conference on Fuzzy
Systems, volume 1, pages 199–205, New Orleans, LA, 8.-11. September 1996. IEEE, Piscataway, NJ. †EI
M005585/97 ga96bIshibuchi.
[1164] Angelo Monfroglio. Hybrid genetic algorithms for a rostering problem. Software - Practice and Experience,
26(7):851–862, July 1996. ga96bMonfroglio.
[1165] Robert Morris and Behrouz Nowrouzian. Novel technique for pipelined scheduling and allocation of dataflow graphs based on genetic algorithms. In Proceedings of the 1996 Canadian Conference on Electrical and
Computer Engineering, volume 1, pages 429–432, Calgary, Canada, 26.-29. May 1996. IEEE, Piscataway,
NJ. * EI M159151/96 ga96bMorris.
[1166] S. O. Orero and M. R. Irving. Genetic algorithm for generator scheduling in power systems. Int. J. Electr.
Power Energy Syst., 18(1):19–26, 1996. †EI M034168/96 ga96bOrero.
[1167] L. Rabelo. Development of a predictive-reactive scheduler using genetic algorithms and simulation-based
scheduling software (for “generic” read “genetic”). In Proceedings of the Advanced Manufacturing Processec
Systems, and Technologies (AMPST 96), pages 589–598, Bradford, UK, 26.-27. March 1996. Mech. Eng.
Publications, Bury St. Edmunds, UK. †CCA 76655/96 ga96bRabelo.
[1168] S. S. Lam, X. Cai, and C. Y. Lee. A genetic algorithm for scheduling multiprocessor tasks without
prespecified processor allocations. In ?, editor, Proceedings of the Fourth European Congress on Intelligent
Techniques and Soft Computing, volume 1, pages 448–451, Aachen (Germany), 2.-5. September 1996.
Verlag Mainz, Aachen (Germany). †CCA37338/98 ga96bSSLam.
[1169] D. Srinivasan and Andrea Tettamanzi. Heuristics-guided evolutionary approach to multiobjective generation scheduling. IEE Proceedings Generation, Transmission and Distribution, 143(6):553–559, 1996.
ga96bSrinivasan.
[1170] Tadahiko Murata, Hisao Ishibuchi, and H. Tanaka. Genetic algorithm for flowshop scheduling problems.
Computers & Industrial Engineering, 30(4):1061–, ? 1996. (Proceedings of the 16th Annual Conference
on Computers and Industrial Engineering, Ashikaga (Japan), 7.-9. Mar. 1994) †P69502 ga96bTMurata.
[1171] Tadahiko Murata and Hisao Ishibuchi. Performance evaluation of genetic operation for flowshop scheduling.
Transactions of the Institute of System, Control, and Information Engineers (Japan), 9(10):482–484, 1996.
In Japanese †CCA19708/97 ga96bTadahikoMurata.
[1172] H. Tamaki, M. Ochi, and M. Araki. Application of genetics-based machine learning to production scheduling. In ?, editor, Proceedings of the Japan-USA Symposium on Flexible Automation, volume 2, pages
1221–1224, Boston, MA, 7.-10. July 1996. ASME, New York, NY. †CCA97956/97 ga96cHTamaki.
[1173] Mitsuo Gen and Runwei Cheng. A hybrid genetic search for machine scheduling problems. In Proceedings
of the Fourth European Congress on Intelligent techniques and Soft Computing, volume 1, pages 373–377,
Aachen (Germany), 2.-5. September 1996. Verlag Mainz, Aachen (Germany). †CCA43793/99 ga96cMGen.
[1174] Franciszek Seredy´
nski. Coevolutionary multi-agent systems: the application to mapping and scheduling
problems. In Proceedings of the IEEE International Conference on Industrial Technology, volume ?, pages
431–435, Shanghai, China, 2.-6. December 1996. IEEE, New York, NY. †CCA64683/97 ga96cSeredynski.
[1175] Tadahiko Murata, Hisao Ishibuchi, and Kyu Hung Lee. Application of two-objective genetic algorithm
to flowshop scheduling problems with interval processing time. In Proceedings of the Fourth European
Congress on Intelligent Techniques and Soft Computing, volume 1, pages 443–447, Aachen (Germany),
2.-5. September 1996. Verlag Mainz, Aachen (Germany). †CCA35236/98 ga96cTMurata.
[1176] B. C. H. Turton and T. Arslan. A parallel genetic VLSI architecture for combinatorial real-time applications
- disc scheduling. In ?, editor, Proceedings of the Third Online Workshop on Soft Computing, page ?, Nagoya
(Japan), August 1996. ? ga96cTurton.
108
Genetic algorithms in operations research
[1177] Joachim K. Axmann and S. Kruger. A load manegement system for a parallel optimization code based
on evolutionary algorithms in use with heterogenous workstation clusters. In Workstations and their
applications - SIWORK96, page ?, 1996. † ga96dJKAxmann.
[1178] M. F. Sebaaly and H. Fujimoto. Automatic assembly planning based on genetic algorithms. In Proceedings
of the 13th World Congress, International Federation of Automatic Control, volume B, pages 43–48, San
Francisco, CA, 30. June-5. July 1996 1997. Pergamon, Oxford. †CCA 42173/99 ga96dSebaaly.
[1179] A. E. Bud and A. E. Nicholson. Scheduling trains with genetic algorithms. In Proceedings of the 1997
International Conference on Neural Information Processing and Intelligent Information Systems, volume 2, pages 1017–1020, Dunedin (New Zealand), 24.-28. November 1997. Springer-Verlag, Singapore.
†CCA67161/98 ga97aAEBud.
[1180] A. K. Jain and H. A. Elmaraghy. Single process plan scheduling with genetic algorithms. Prod. Plan.
Control (UK), 8(4):363–376, 1997. †CCA50916/97 ga97aAKJain.
[1181] A. M. Erkmen, M. Erbudak, O. Anlagan, and O. Unver. Genetically tuned fuzzy scheduling for flexible manufacturing systems. In Proceedings of the 1997 IEEE International Conference on Robotics and
Automation, volume 2, pages 951–956, Albuquerque, NM, 20.-25. April 1997. IEEE, New York, NY.
†CCA80112/97 ga97aAMErkmen.
[1182] Akifumi Nakajima, Iori Hashimoto, Shinji Hasebe, and Satoshi Taniguchi. Scheduling method, 1997. (JP
patent no. 9069050. Issued March 11 1997) * fi.espacenet.com ga97aANakajima.
[1183] A. Y. Zomaya, C. Ward, and B. Macey. An evolutionary approach for scheduling in parallel processor
systems. In Proceedings of the Third International Symposium on Parallel Architectures, pages 369–375,
Taipei, Taiwan, 18.-20. December 1997. IEEE Computer Society Press, Los Alamitos , CA. †CCA22924/98
ga97aAYZomaya.
[1184] H. H. Adelsberger, M. Neubauer, and J. Pawlowsky. Genetic algorithms for scheduling: an in-depth
analysis and comparison with simulated annealing. In Proceedings of the First International Conference
on Operations and Quantitative Management, volume 2, pages 514–521, Jaipur, India, 5.-8. January 1997.
Univ. Baltimore (Baltimore, MD, USA). †CCA75779/98 ga97aAdelsber.
[1185] C. H. Dagli and K. Schierholt. Evaluating the performance of the genetic neuro scheduler using constant
as well as changing crossover and mutation rates. Computers & Industrial Engineering, 33(1-2):253–256,
1997. †CCA26698/98 ga97aCHDagli.
[1186] C. Lowe and J. D. Tedford. Production scheduling utilising fuzzy logic systems and genetic algorithms.
In Proceedings of the International Symposium on Manufacturing Systems, pages 120–126, Auckland,
New Zealand, 18.-21. November 1997. ICSC Academic Press, Millet, Alta (Canada). †CCA69437/99
ga97aCLowe.
[1187] C. Reuter, M. Schwiegershausen, and P. Pirsch. Heterogeneous multiprocessor scheduling and allocation
using evolutionary algorithms. In Proceedings of the IEE International Conference on Applications-Spacific
Systems, Architectures and Processors, pages 294–303, Zurich, Switzerland, 14.-16. July 1997. IEEE Computer Society Press, Los Alamitos , CA. †CCA85593/97 ga97aCReuter.
[1188] Brian J. Carnahan and Mark S. Redfern. Automatic planning of job rotation schedules. In Proceedings
of the 1997 6th Annual Industrial Engineering Research Conference, pages 263–268, Miami Beach, FL,
17.-18. May 1997. IIE, Norcross, GA. †EI M019880/98 ga97aCarnahan.
[1189] C. Charalambous and K. S. Hindi. Applying GAs to complex problems: the case of scheduling multistage intermittent manufacturing systems. In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 467–471, Glasgow, UK,
2.-4. September 1997. IEE, London, UK. †CCA1545/98 ga97aCharalam.
[1190] K. Chudzik and A. Janiak. Single machine scheduling with job ready and setup times - genetic approach.
In Proceedings of the Fourth International Symposium on Methods and Models in Automation and Robotics,
volume 3, pages 1071–1075, Miewdzyzdroje (Poland), 26.-29. August 1997. Wydawnictwo Uczelniane Politech. Szczecinskiej, Szczecin (Poland). †CCA10468/98 ga97aChudzik.
[1191] D. Benic and T. Grladinovic. The scheduling with computational intelligence. In B. Katalinic, editor, Proceedings of the 8th International DAAAM Symposium, pages 29–30, Dubrovnik, Croatia, 23.-25. October
1997. DAAAM International, Vienna, TU Wien. ga97aDBenic.
[1192] D. S. Mullen and R. M. Butler. Genetic algorithms in optimization of adjacency constrained timber harvest
scheduling problems. In Proceedings of the Second Annual Conference, page 379, Stanford, CA, 13.-16. July
1997. Morgan Kaufmann Publishers, San Francisco, CA (USA). †CCA72454/98 ga97aDSMullen.
Bibliography
109
[1193] P. R. Drake and I. A. Choudhry. From apes to schedules [genetic algorithms]. Manufacturing Engineer,
76(1):43–45, 1997. ga97aDrake.
[1194] K. Dussa-Zieger and M. Schwehm. Configuration, mapping and sequencing by genetic algorithms. In
Proceedings of the First international Workshop on Approximate Reasoning in Scheduling, pages 11–17,
Zurich, Switzerland, 11. February 1997. ICSC Academic Press, Zurich, Switzerland. †CCA58013/97
ga97aDussa-Zieger.
[1195] Franciszek Seredy´
nski. Task scheduling with use of classifier systems. In Proceedings of the Evolutionary Computing, pages 287–306, Manchester (UK), 7.-8. April 1997. Springer-Verlag, Berlin (Germany).
†CCA12408/98 ga97aFSeredynski.
[1196] Yutaka Fujihara and Hirokazu Osaki. Facility layout linked with scheduling problem by genetic algorithm
and tabu search. In Proceedings of the 14th International Conference on Production Research, volume 2,
pages 1650–1653, Osaka, Japan, 4.-8. August 1997. Osaka Institute of Technology & Setsunan University.
ga97aFujihara.
[1197] Hitoshi Iima and Nobuo Sannomiya. A method for constructing genetic algorithm for a re-scheduling
problem in an open-shop process. Trans. Inst. Syst. Control Inf. Eng. (Japan), 10(7):361–368, 1997. (In
Japanese) †CCA90698/97 ga97aHIima.
[1198] H. Zhou and W. G. Fang. A kind of genetic algorithm for flow-shop scheduling. In Proceedings of the
1997 International Conference on Management Science & Engineering, pages 177–181, Nanjing, Peoples
R China, 3.-6. November 1997. Harbin Institute Technology Publishers, Harbin. †P78635 ga97aHZhou.
[1199] Heng Cao, Haifeng Xi, Yupin Luo, Suxing Yang, and Yi Peng. GA with hierarchical evaluation: a
framework for solving complex machine scheduling problems in manufacturing. In Proceedings of the
Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, volume ?, pages 326–331, Glasgow, UK, 2.-4. September 1997. IEE, London (UK). †CCA1540/98
ga97aHengCao.
[1200] A. Higgins, Erhan Kozan, and L. Ferreira. Heuristic techniques for single line train scheduling. J. Heuristics,
3(1):43–62, 1997. †EI M175817/97 ga97aHiggins.
[1201] In Lee, Riyaz Sikora, and Michael J. Shaw. A genetic algorithm-based approach to flexible flow-line
scheduling with variable lot sizes. IEEE Transactions on Systems, Man, and Cybernetics B, Cybernetics,
27(1):36–54, 1997. ga97aILee.
[1202] T. Ikeuchi, Y. Ikkai, D. Araki, T. Ohkawa, and N. Komoda. Project scheduling using genetic algorithm
with adaptable changing genetic operators. Transactions of the Institute of Electrical Engineers of Japan
C), 117-C(6):793–798, 1997. In Japanese †CCA71440/97 ga97aIkeuchi.
[1203] Jiˇr´ı Dvoˇra
´k. Production scheduling in single-product system with network structure and periodical processing. In Oˇsmera [1799], pages 189–194. ga97aJDvorak.
[1204] J. E. Bogess and A. Mukheeth. Evolving engineering mission schedules: a machine-learning approach to
scheduling. In Proceedings of the IEEE 1997 National Aerospace and Electronics Conference, volume 2,
pages 749–756, Dayton, OH, 14.-17. July 1997. IEEE, New York, NY. †CCA15315/98 ga97aJEBogess.
[1205] J. Schultz and P. Mertens. A comparison between an expert system, a genetic algorithm and priority
rules for production scheduling. In Proceedings of the First International Conference on Operations and
Quantitative Management, volume 2, pages 506–513, Jaipur, India, 5.-8. January 1997. Univ. Baltimore
(Baltimore, MD, USA). †CCA81485/98 ga97aJSchultz.
[1206] Janne Suotula. A study on the use of genetic algorithms in project time sheduling [tutkimus geneettisten
algoritmien kytst projektin aikataulutuksessa]. Master’s thesis, Helsinki University of Technology, 1997.
†www /TKK ga97aJanneSuotula.
[1207] Jong Beom Lee. Optimal short-term operation scheduling using genetic algorithm on multicogeneration
system connected with various auxiliary equipments. Trans. Korean Inst. Electr. Eng. (South Korea),
46(11):1582–1588, 1997. In Korean †EEA42684/98 ga97aJongBLee.
[1208] Joon-Mook Lim. A genetic algorithm for a single hoist scheduling in the printed-circuit-board electroplating
line. Comput. Ind. Eng. (UK), 33(3-4):789–792, 1997. ga97aJoon-Lim.
[1209] K. J. Shaw and P. J. Fleming. Including real-life problem preferences in genetic algorithms to improve
optimisation of production schedules. In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 239–244, Glasgow, UK,
2.-4. September 1997. IEE, London, UK. †CCA1539/98 ga97aKJShaw.
110
Genetic algorithms in operations research
[1210] Akimoto Kamiya, Isao Ono, Masayuki Yamamura, and Shigenobu Kobayashi. Thermal power plant startup scheduling with evolutionary computation by using an enforcement operator and tabu strategy. J. Jpn.
Soc. Artif. Intell. (Japan), 12(1):100–110, 1997. In Japanese †CCA42638/97 ga97aKamiya.
[1211] Kh. Z. Hoque, T. F. Fwa, and W. T. Chan. Application of genetic algorithms for pavement maintenance
programming. J. Inst. Eng. Singap. (Singapore), 37(5):7–12, 1997. †CCA32965/98 ga97aKhZHoque.
[1212] Kiyoharu Tagawa, Tuyoshi Fukui, and Hiromasa Haneda. Application of genetic algorithm to scheduling
problem of robot control computation. In Proceedings of the 23rd International Conference on Industrial
Electronics, Control, and Instrumentation, volume 3, pages 1057–1062, New Orleans, LA, 10.-14. November
1997. IEEE. ga97aKiyoharuTagawa.
[1213] L. He and N. Mort. Genetic algorithms for scheduling optimization on a multi-product batch processing
machine. In Proceedings of the Intelligent Manufacturing Systems, pages 115–120, Seoul (South Korea),
21.-23. July 1997. Elsevier, Kidlington (UK). †CCA66094/99 ga97aLHe.
[1214] Lee Wang, Howard Jay Siegel, Vwani P. Roychowdhury, and Anthony A. Maciejewski. Task matching and
scheduling in heterogeneous computing environments using a genetic-algorithm-based approach. Journal
of Parallel and Distributed Computing, 47(1):8–22, 25. November 1997. ga97aLeeWang.
[1215] Linhu Zhao, Yasuhiro Tsujimura, and Mitsuo Gen. A hybrid genetic algorithm for the group scheduling
problem in a flow-line manufacturing cell. In Proceedings of the 14th International Conference on Production Research, volume 2, pages 1734–1737, Osaka, Japan, 4.-8. August 1997. Osaka Institute of Technology
& Setsunan University. ga97aLinhuZhao.
´
[1216] Michiel C. van Wezel, Agoston
E. Eiben, C. M. H. van Kemenade, Joost N. Kok, W. Kosters, and I. G.
Sprinkhuizen-Kuyper. Natural solutions to practical problems: an overview of marketing, scheduling
and information filtering problems solved by neural and evolutionary techniques. In Proceedings of the
Neural Networks: Best Practice in Europe, pages 202–205, Amsterdam, Netherlands, 22. May 1997. World
Scientific, Singapore. †CCA60786/99 ga97aMCWezel.
[1217] M. H. Lim, T. H. Cheng, A. Balaram, and S. Krishnan. A genetic algorithm framework for traffic scheduling
in ATM networks. In Proceedings of the 1997 International Conference on Neural Information Processing
and Intelligent Information Systems, volume 1, pages 460–463, Dunedin (New Zealand), 24.-28. November
1997. Springer Verlag, Singapore. †CCA77676/98 ga97aMHLim.
[1218] Masayuki Mori and Ching-Chih Tseng. A genetic algorithm for multi-mode resource constrained project
scheduling problem. Eur. J. Oper. Res. (Netherlands), 100(1):134–141, 1997. †CCA62384/97 ga97aMMori.
[1219] M. S. Jones, G. P. McKeown, and Vic J. Rayward-Smith. Solving permutation and scheduling problems using modern heuristic techniques. In Proceedings of the Modern Heuristics for Decision Support,
pages 123–158, London (UK), 18.-19. March 1997. UNICOM Seminars, Uxbridge (UK). †CCA86331/99
ga97aMSJones.
[1220] M. McIlhagga. Solving generic scheduling problems with a distributed genetic algorithm. In Proceedings of
the Evolutionary Computing on AISB Internatioal Workshop, pages 199–212, Manchester, UK, 7.-8. April
1997. Springer-Verlag, Berlin (Germany). †CCA10394/98 ga97aMcIlhagga.
[1221] Min Qiu. Prioritising and scheduling road projects by genetic algorithm. Mathematics and Computers in
Simulation, 43(3-6):569–574, 1997. †CCA71583/97 ga97aMinQiu.
[1222] David S. Mullen and Ralph M. Butler. Genetic algorithms in optimization of adjacency constrained
timber harvest scheduling problems. In John R. Koza, Kalyanmoy Deb, Marco Dorico, David B. Fogel,
Max Garson, Hitoshi Iba, and Rick L. Riolo, editors, Genetic Programming 1997: Proceedings of the
Second Annual Conference, page ?, Stanford, CA, 13.-16. July 1997. Morgan Kaufmann, San Francisco,
CA. †conf.prog ga97aMullen.
[1223] N. Jenkins and T. Gedeon. Genetic algorithms applied to university exam scheduling. In Proceedings of
the 1997 International Conference on Neural Information Processing and Intelligent Information Systems,
volume 2, pages 1034–1037, Dunedin (New Zealand), 24.-28. November 1997. Springer-Verlag, Singapore.
†CCA72110/98 ga97aNJenkins.
[1224] Naoyuki Kubota, Takemasa Arakawa, Toshio Fukuda, and Koji Shimojima. Fuzzy manufacturing scheduling by virus-evolutionary genetic algorithm in self-organizing manufacturing system. In Proceedings of the
Sixth IEEE International Conference on Fuzzy Systems, volume 3, pages 1283–1288, Barcelona, Spain,
1.-5. July 1997. IEEE, New York, NY. †CCA80164/97 ga97aNKubota.
[1225] N. Ono and T. Tsugawa. A genetic algorithm for the generic crew scheduling problem. In George D. Smith
and Nigel C. Steele, editors, Proceedings of the International Conference on Artificial Neural Networks and
Genetic Algorithms, pages 270–274, Norwich, UK, 2.-4. April 1997. Springer-Verlag, Berlin. ga97aNOno.
Bibliography
111
[1226] Pham Hong Hanh. Intelligent scheduler with fuzzy techniques and evolutionary management in heterogeneous computing systems. In Proceedings of the 1997 IEEE International Conference on Intelligent
Processing Systems, volume 1, pages 122–127, Beijing (China), 28.-31. October 1997. IEEE, New York,
NY. †CCA54767/98 ga97aPhamHanh.
[1227] R. N. Bailey, K. M. Garner, and M. F. Hobbs. Using simulated annealing and genetic algorithms to
solve staff scheduling problems. Asia-Pac. J. Oper. Res. (Singapore), 14(2):27–43, 1997. †CCA58634/98
ga97aRNBailey.
[1228] Rema Padman and Stephen F. Roehrig. A genetic programming approach for heuristic selection in constrained project scheduling. In Richard S. Barr, Richard V. Helgason, and Jeffery L. Kennington, editors,
Advances in Metaheuristics, Optimization, and Stochastic Modeling Techniques, Proceedings of the 5th
INFORMS Computer Science Technical Section (CSTS) Conference on Computer Science and Operations
Research: Recent Advances in the Interface, volume 7 of Operations Research/Computer Science Interfaces,
pages 405–421, Dallas, TX, 8.-10. January 1996 1997. Kluwer Academic Publishers, Boston, MA. †MR
2001d:90008 ga97aRPadman.
[1229] Runwei Cheng and Mitsuo Gen. Parallel machine scheduling problems using memetic algorithms. Computers & Industrial Engineering, 33(3-4):761–764, 1997. †CCA26683/98 ga97aRunCheng.
[1230] Martin R¨
uttgers. Differential evolution: A method for optimization of real scheduling problems. Technical
Report TR-97-013, International Computer Science Institute, Berkeley, CA, 1997. (www.icsi.berkeley.
edu/techreports/1997.html) ga97aRuttgers.
[1231] Sung-Ho Woo, Sung-Bong Yang, Shin-Dug Kim, and Tack-Don Han. Task scheduling in distributed
computing systems with a genetic algorithm. In Proceedings of the High Performance Computing on the
Information Superhighway HPC Asia ’97, pages 301–305, Seoul (South Korea), 28. April - 2. May 1997.
IEEE Computer Society Press, Los Alamitos , CA. †CCA47954/97 ga97aS-HWoo.
[1232] Shozo Shiozawa, Haruki Inoue, Kenichi Nakamura, Hideo Yoshida, Mayumi Mizttani, Takeshi Jinguji,
Masakazu Yahiro, and Takayoshi Yokota. Method and system for parking lot guidance, 1997. (JP patent
no. 9212557. Issued August 15 1997) * fi.espacenet.com ga97aSShiozawa.
[1233] F. E. Sandnes and G. M. Megson. Improved static multiprocessor scheduling using cyclic task graphs:
a genetic approach. In Proceedings of the Parallel Computing: Fundamentals, Applications and New
Directions, volume 12, pages 703–710, Bonn, Germany, 19.-22. September 1997. Elsevier, Amsterdam
(Netherlands). †CCA89732/98 ga97aSandnes.
[1234] Nobuo Sannomiya, Hitoshi Iima, and M. Wakasugi. Application of genetic algorithm to process scheduling problems with inconsistent constraints. In B. Katalinic, editor, Proceedings of the 8th International
DAAAM Symposium, pages 299–300, Dubrovnik, Croatia, 23.-25. October 1997. DAAAM International,
Vienna, TU Wien. ga97aSannomiya.
[1235] A. Schoneveld, J. F. de Ronde, and P. M. A. Sloot. Task allocation by parallel evolutionary computing.
Journal of Parallel and Distributed Computing, 47(1):91–97, 25. November 1997. ga97aSchoneveld.
ˇ
[1236] Miloˇs Seda.
A comparison of exact methods and genetic algorithm approach to resource constrained
scheduling. In Alander [1760], pages 97–108. (ftp://ftp.uwasa.fics/3NWGA/Seda.ps.Z) ga97aSeda.
[1237] T. Ikeuchi, Y. Ikkai, D. Araki, T. Ohkawa, and N. Komoda. Genetic algorithm with adaptable changing
genetic operators and its application to project scheduling. In Proceedings of the Artificial Intelligence in
Real-Time Control, pages 53–58, Kuala Lumpur, Malaysia, 22.-25. September 1997. Pergamon Press Ltd.,
Oxford. †P82895 ga97aTIkeuchi.
[1238] T. Tsuchiya, T. Osada, and T. Kikuno. A new heuristic algorithm based on GA:s for multiprocessor
scheduling with task duplication. In Proceedings of the 1997 3rd International Conference on Algorithms
and Architectures for Parallel Processing, pages 295–308, Melbourne, Vic. (Australia), 10.-12. December
1997. World Scientific, Singapore. †CCA30915/98 ga97aTTsuchiya.
[1239] T. Wal and R. Knosala. Production scheduling with genetic algorithms. Pr. Nauk. Inst. Technol. Masz.
Autom. Politech. Wroc. Ser., Konf. (Poland), (29):219–222, 1997. In Polish †CCA43871/98 ga97aTWal.
[1240] Tadahiko Murata and Hisao Ishibuchi. Performance of multi-objective genetic algorithms for flowshop
scheduling problems. In Proceedings of the 14th International Conference on Production Research, volume 1, pages 498–501, Osaka, Japan, 4.-8. August 1997. Osaka Institute of Technology & Setsunan University. ga97aTaMurata.
[1241] V. Salim and Xiaoqiang Cai. A genetic algorithm for railway scheduling with environmental considerations.
Environ. Model. Softw. (UK), 12(4):301–309, 1997. †CCA74005/98 ga97aVSalim.
112
Genetic algorithms in operations research
[1242] William J. Wolfe and Stephen E. Sorensen. Comparison of three scheduling algorithms. In B. Gopalakrishnan, San Murugesan, Odo Struger, and Gerfried Zeichen, editors, Architectures, Networks, and Intelligent
Systems for Manufacturing Integration, volume SPIE-3203, pages 172–181, ?, December 1997. The International Society for Optical Engineering. * www/SPIE Web ga97aWJWolfe.
[1243] M. Wakasugi, Hitoshi Iima, Nobuo Sannomiya, E. Kako, and Y. Kobayashi. Encoding methods of genetic algorithm for an optimal production ordering problem in an acid rinsing process of steelmaking
plant. Trans. Inst. Syst. Control Inf. Eng. (Japan), 10(4):173–181, 1997. In Japanese †CCA62591/97
ga97aWakasugi.
[1244] Wei Lin, R. N. Bernard, G. M. Janes, and K. W. Farrell. Automated television scheduling via evolving
agents. In Proceedings of IEEE International Conference on Evolutionary Computation, pages 691–696,
Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA52164/97 ga97aWeiLin.
[1245] Xianyi Zeng and M. Happiette. Decomposing a jobshop into flowshop structures using genetic algorithms.
In Proceedings of the 4th Intelligent Manufacturing Systems, pages 171–176, Seoul (South Korea), 21.23. July 1997. Elsevier, Kidlington (UK). †CCA61428/99 ga97aXianZeng.
[1246] Yu-Kwong Kwok and Ishfaq Ahmad. Efficient scheduling of arbitrary task graphs to multiprocessors using
a parallel genetic algorithm. Journal of Parallel and Distributed Computing, 47(1):39–57, 25. November
1997. ga97aYu-KwongKwok.
[1247] Yung-Feng Chiu and Li-Chen Fu. A GA embedded dynamic search algorithm over a Petri net model for an
FMS scheduling. In Proceedings of the 1997 IEEE International Conference on Robotics and Automation,
volume 1, pages 513–518, Albuquerque, NM, 20.-25. April 1997. IEEE, New York, NY. †CCA80081/97
ga97aYung-FengChiu.
[1248] Zhou Hong and Cai Miaofeng. Kind of genetic algorithm for solving flow shop sequencing problems. J. Beijing Univ. Aeronaut. Astronaut. (China), 23(4):440–445, 1997. (In Chinese) †CCA1512/98
ga97aZhouHong.
[1249] A. Janiak and Marie-Claude Portmann. Genetic algorithms for some single machine sequencing with
transferable resource. In Proceedings of the First International Conference on Operations and Quantitative
Management, volume 2, pages 522–529, Jaibur, India, 5.-8. January 1997. Univ. Baltimore, Baltimore, MD
(USA). †CCA75973/98 ga97bAJaniak.
[1250] A. Tuson, R. Wheeler, and P. Ross. Emergence resource redistribution in the developing world: towards
a practical evolutionary/meta-heuristic scheduling system. In Proceedings of the Second International
Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 245–250,
Glasgow (UK), 2.-4. September 1997. IEE, London (UK). †CCA1692/98 ga97bATuson.
[1251] Dragan A. Savic, Godfrey A. Walters, and M. Schwab. Multi-objective genetic algorithms for pump
scheduling in water supply. In Proceedings of the Evolutionary Computing, pages 227–235, Manchester
(UK), 7.-8. April 1997. Springer-Verlag, Berlin (Germany). †CCA10299/98 ga97bDASavic.
[1252] Fang Jian and Xi Yugeng. The genetic algorithms-based rolling horizon scheduling strategy. Control
Theory Appl. (China), 14(4):589–594, 1997. In Chinese †CCA35167/98 ga97bFangJian.
[1253] G. W. Grewal and T. C. Wilson. Enhanced genetic solution for scheduling, module allocation, and binding
in VLSI design. In Proceedings of the 1997 10th international Conference on VLSI Design, pages 51–56,
Hyderabad, India, 4.-7. January 1997. IEEE, Los Alamitos, CA. †EI M092133/97 ga97bGrewal.
[1254] Joachim K. Axmann, H.-W. Bolloni, H. Finnemann, A. VandeVelde, H.-D. Berger, and H.-U. Maar. Results
of the PRIMO System on the basis of evolutionary algorithms with heuristics for nuclear management
optimizations. Kerntechnik, 62(1), 1997. † ga97bJKAxmann.
[1255] N. Jawahar, P. Aravindan, S. G. Ponnambalam, and V. Anandaraj. A genetic algorithm based knowledge
acquisition system for scheduling FMS. In Proceedings of the First International Conference on Operations
and Quantitative Management, volume 2, pages 403–410, Jaipur, India, 5.-8. January 1997. Univ. Baltimore
(Baltimore, MD, USA). †CCA81481/98 ga97bJawahar.
[1256] K. J. Shaw and P. J. Fleming. Use of rules and preferences for schedule in genetic algorithms for production
scheduling. In Proceedings of the Evolutionary Computing, pages 237–250, Manchester (UK), 7.-8. April
1997. Springer-Verlag, Berlin (Germany). †CCA10396/98 ga97bKJShaw.
[1257] Kit Po Wong and Suzannah Yin Wa Wong. Hybrid genetic/simulated annealing approach to short-term
multiple-fuel-constrained generation scheduling. IEEE Transactions on Power Systems, 12(2):776–784,
May 1997. (Proceedings of the IEEE/PES Summer Meeting, July 28 - August 1, 1996 Denver, CO)
ga97bKPWong.
Bibliography
113
[1258] Naoyuki Kubota, Toshio Fukuda, and Susumu Shibata. Intelligent manufacturing system by the evolutionary computation - scheduling and planning of the flexible transportation. In Proceedings of the
23rd International Conference on Industrial Electronics, Control, and Instrumentation, volume 3, pages
1136–1141, New Orleans, LA, 10.-14. November 1997. IEEE. ga97bNaKubota.
[1259] Franciszek Seredy´
nski. Competitive coevolutionary multi-agent systems: The application to mapping and
scheduling problems. Journal of Parallel and Distributed Computing, 47(1):39–57, 25. November 1997.
ga97bSeredynski.
[1260] T. L. Lau and Edward P. K. Tsang. Solving the processor configuration problem with a mutation-based
genetic algorithm. International Journal on Artificial Intelligence Tools (IJAIT), 6(4):657–585, December
1997. †[1800] ga97bTLLau.
[1261] K. Tagawa, T. Fukui, and H. Haneda. Application of genetic algorithm to scheduling problem of robot
control computation. Transactions of the Insttute of System, Control, and Information Engineers (Japan),
10(6):321–330, 1997. In Japanese †CCA72741/97 ga97bTagawa.
[1262] Nicole G¨
ockel and Rolf Drechsler. Influencing parameters of evolutionary algorithms for sequencing
problems. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation, pages
575–580, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †EEA52979/97 ga97cGockel ⇒
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=592376.
[1263] T. Yamada and C. R. Reeves. Permutation flowshop scheduling by genetic local search. In Proceedings
of the Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and
Applications, pages 232–238, Glasgow (UK), 2.-4. September 1997. IEE, London (UK). †CCA1538/98
ga97cTYamada.
[1264] L. L. Lai, J. T. Ma, and J. B. Lee. Application of genetic algorithms to multitime interval scheduling
for daily operation of a cogeneration systems by using object-oriented techniques and improved genetic
algorithms. In Proceedings of the Fourth International Conference on Advances in Power System Control,
Operation & Management, volume 1-2, pages 327–331, Wanchai, Hong Kong, 11.-14. November 1997. Inst.
Electr. Eng., Stevenage Herts. †P82885 ga97eLLLai.
[1265] Hisao Ishibuchi, Tadahiko Murata, and S. Tomioka. Flowshop scheduling by genetic local search. Trans.
Inst. Syst. Control Inf. Eng. (Japan), 10(10):563–565, 1997. In Japanese †CCA1524/98 ga97gIshibuchi.
[1266] A. A. F. Carneiro, P. T. Leite, and A. C. P. Carvalho. A genetic algorithm approach to optimize the
operation planning of hydrothermal system scheduling. In Proceedings of the VTH Brazilian Symposium
on Neural Networks, page 253, Belo Horizont, Brazil, 9.-11. December 1998. IEEE Computer Society Press,
Los Alamitos , CA. †P83276 ga98aAAFCarneiro.
[1267] Akimoto Kamiya, Hajime Kimura, Masayuki Yamamura, and Shigenobu Kobayashi. Power plant startup scheduling: a reinforcement learning approach combined with evolutionary computation. Journal of
Intelligent and Fuzzy Systems, 6(1):99–115, ? 1998. * http://iospress.metapress.com ga98aAKamiya.
[1268] Catherine Azzaro-Pantel, Leonardo Bernal-Haro, Philippe Baudet, Serge Domenech, and Luc Pibouleau.
A two-stage methodology for short-term batch plant scheduling: discrete-event simulation and genetic
algorithm. Computers in Chemical Engineering, 22(10):1461–1481, ? 1998.
* ChA 247113y/98
ga98aAzzaro-Pantel.
[1269] B. Hochst. Design of a method for scheduling in process industry. In Proceedings of the Fourth European
Congress on Intelligent Techniques and Soft Computing, volume 3, pages 1951–1955, Aachen (Germany),
2.-5. September 1998. Verlag Mainz, Aachen (Germany). †CCA43795/98 ga98aBHochst.
[1270] B. Nath, S. Lim, and B. Bignall. A genetic algorithm for scheduling independent jobs on uniform machines
with multiple objectives. In Proceedings of the International Conference on Computational Intelligence and
Multimedia Applications 1998, pages 67–74, Gippsland (Australia), 9.-11. February 1998. World Scientific,
Singapore. †CCA57477/99 ga98aBNath.
[1271] U. Boryczka and M. Boryczka. Generative policies in ant systems for scheduling. In Proceedings of the
6th European Congress on Intelligent Techniques and Soft Computing, volume 1, pages 382–386, Aachen
(Germany), 7.-10. September 1998. Verlag Mainz, Aachen (Germany). †CCA69447/99 ga98aBoryczka.
[1272] P. Chakroborty, K. Deb, and B. Srinivas. Network-wide optimal scheduling of transit systems using
genetic algorithms. Comput-Aided Civ. Infrastruct. Eng. (USA), 13(5):363–376, 1998. †CCA76012/98
ga98aChakrobo.
[1273] Chiung Moon, Yin-Zhen Li, and Mitsuo Gen. Evolutionary algorithm for flexible process sequencing
with multiple objectives. In Proceedings of the 1998 IEEE International Conference on Evolutionary
Computation, pages 27–32, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY. †CCA81470/98
ga98aChiungMoon.
114
Genetic algorithms in operations research
[1274] Vctor B. Ciesielski and P. Scerri. Real time genetic scheduling of aircraft landing times. In Proceedings
of the IEEE International Conference on Evolutionary Computation, pages 360–364, Anchorage, AK, 4.9. May 1998. IEEE, New York, NY. †CCA83209/98 ga98aCiesiels.
[1275] Daniel C. Gabriner, Stephen D. Milligan, Joseph J. Destefano, and David J. Montana. System and
method for genetic algorithm scheduling systems, 1998. (U. S. patent no. 5,848,403. Issued December
1998; http://appft1.uspto.gov/netahtml/PTO/search-adv.html) ga98aDCGabriner.
[1276] W. B. F. Deschaetzen, Dragan A. Savic, and Godfrey A. Walters. A genetic algorithm approach to pump
scheduling in water-supply systems. In Hydroinformatics’98, volume 1,2, pages 897–900, 1998. †P82170
ga98aDeschaet.
[1277] Klaudia Dussa-Zieger and Markus Schwehm. Scheduling of parallel programs on configurable multiprocessors by genetic algorithms. International Journal of Approximate Reasoning, 19(?):23–38, ? 1998.
ga98aDussa-Zieger.
[1278] E. Hart, P. Ross, and J. Nelson. Producing robust schedules via an artificial immune system. In Proceedings
of the 1998 IEEE International Conference on Evolutionary Computation, pages 464–469, Anchorage, AK
(USA), 4.-9. May 1998. IEEE, New York, NY. †CCA81458/98 ga98aEHart.
[1279] Esa Koskim¨
aki.
Applying soft computing in manufacturing [pehmolaskennan soveltaminen
tehdasymp¨
arist¨
oss¨
a]. Licentiate thesis, Helsinki University of Technology, 1998.
†www /TKK
ga98aEsaKoskimaki.
[1280] E. Figielska. Integration of a modified genetic algorithm with mathematical programming for solving
a scheduling problem. In Proceedings of the Fifth International Symposium on Methods and Models in
Automation and Robotics, volume 3, pages 1035–1040, Miedzyzdroje (Poland), 25.-29. August 1998. Tech.
Univ. Szczecin, Szczecin (Poland). †CCA61435/99 ga98aFigielsk.
[1281] Gyoung Hwan Kim and C. S. George Lee. Genetic reinforcement learning approach to the heterogeneous
machine scheduling problem. IEEE Transactions on Robotics and Automation, 14(6):879–893, December
1998. ga98aGyoungHwanKim.
[1282] H.-C. Chang and P.-H. Chen. Hydrothermal generation scheduling package: a genetic based approach.
IEE Proceedings - Generation, Transmission and Distribution, 145(4):451–457, 1998. †CCA73336/98
ga98aH-CChang.
[1283] H.-S. Kim. Genetic algorithms for task scheduling in distributed heterogeneous supercomputing systems.
In Proceedings of the International Conference on Computational Intelligence and Multimedia Applications,
pages 543–548, Gippsland (Australia), 9.-11. February 1998. World Scientific, Singapore. †CCA55676/99
ga98aH-SKim.
[1284] Hsiao Ishibuchi and Tadahiko Murata. A multi-objective genetic local search algorithm and its application
to flowshop scheduling. IEEE Transactions on Systems, Man, and Cybernetics, 28(3):392–403, August
1998. ga98aHIshibuchi.
[1285] H. Murao and S. Kitamura. Online scheduling of a multi-robot system by using genetic algorithms. In
Proceedings of the IEEE International Symposium on Industrial Electronics, volume 2, pages 709–713,
Pretoria, South Africa, 7.-10. July 1998. IEEE, New York, NY. †CCA77813/98 ga98aHMurao.
[1286] H. Tamaki, M. Ochi, and M. Araki. Genetics-based machine learning approach to production scheduling-a
case of in-tree type precedence relation. In Proceedings of the IEEE International Symposium om Industrial
Electronics, volume 2, pages 714–719, Pretoria, South Africa, 7.-10- July 1998. IEEE, New York, NY.
†CCA77286/98 ga98aHTamaki.
[1287] I. K. Yu, C. S. V. Chou, and Yong-Hua Song. Application of the ant colony search algorithm to short-term
generation scheduling problem of thermal units. In Proceedings of the 1998 International Conference on
Power System Technology, volume 1-2, pages 552–556, Beijing (China), 18.-21. August 1998. IEEE, New
York, NY. †P82998 ga98aIKYu.
[1288] J. G. Qi, G. R. Burns, and D. K. Harrison. An intelligent production planning and scheduling using genetic
algorithm. In Proceedings of the Advances in Manufacturing Technology XII, pages 271–276, Derby (UK),
7.-9. September 1998. Professional Engineering Publishing Ltd, Bury st Edmunds. †P82178 ga98aJGQi.
[1289] Jae Hak Jung, Chang Hyung Lee, and In-Beum Lee. A genetic algorithm for scheduling of multiproduct
batch processes. Comput. Chem. Eng., 22(11):1725–1730, ? 1998. * ChA 332816z/98 ga98aJaeHakJung.
[1290] K. Yoshimura and R. Nakano. Genetic algorithm for information operator scheduling. In Proceedings of
the 1998 IEEE International Conference on Evolutionary Computation, pages 277–282, Anchorage, AK,
4.-9. May 1998. IEEE, New York, NY. †CCA81529/98 ga98aKYoshimur.
Bibliography
115
[1291] L. Yao and K. C. Hsieh. Scheduling of direct load control by a recursive genetic algorithm. In Proceedings of
the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 2460–2465, San Diego,
CA, 11.-14. October 1998. IEEE New York, NY. †P82602 ga98aLYao.
[1292] Liu Min, Wu Cheng, and Jiang Xinsong. Genetic algorithm method for minimizing the number of tardy
jobs in identical parallel machine scheduling problem. Chin. J. Electron. (Hong Kong), 7(2):188–192, 1998.
†CCA51674/98 ga98aLiuMin.
[1293] Mois`es Graells, Espen Løberg, Antonio Delgado, Enrique Font, and Luis Puigjaner. Batch production
scheduling with flexible recipes: the single product case. In Joseph F. Pekny and Gary E. Blau, editors,
Foundations of Computer-Aided Process Operations, Proceedings of the 3rd International Conference, volume 94 of AIChE Symposium Series No. 320, pages 286–290, Snowbird, UT, 5.-10. July 1998. American
Institute of Chemical Engineers. ga98aMGraells.
[1294] M. P. Fanti, B. Maione, D. Naso, and B. Turchiano. Genetic multi-criteria approach to flexible line
scheduling. International Journal of Approximative Reasoning, 19(1-2):5–21, 1998.
†CCA81472/98
ga98aMPFanti.
ˇ
[1295] Miloˇs Seda
and Jiˇr´ı Dvoˇra
´k. An application of heuristic techniques to permutation flow shop scheduling
problem. In Oˇsmera [1788], pages 132–139. ga98aMilosSeda.
[1296] Y. Monnier, J.-P. Beauvais, and A.-M. Deplanche. A genetic algorithm for scheduling tasks in a realtime distributed system. In Proceedings of the 24th EUROMICRO Conference, volume 2, pages 708–714,
Vaster˚
as, Sweden, 25.-27. August 1998. IEEE Computer Society Press, Los Alamitos , CA. †CCA89718/98
ga98aMonnier.
[1297] D. Montana, G. Bidwell, and S. Moore. Using genetic algorithms for complex, real-time scheduling applications. In Proceedings of the IEEE Network Operations and Management Symposium, volume 1, pages
245–248, New Orleans, LA, 15.-20. February 1998. IEEE, New York, NY. †CCA25812/98 ga98aMontana.
[1298] N. Jawahar, P. Aravindan, and S. G. Ponnambalam. A genetic algorithm for scheduling flexible manufacturing systems. Advanced Manufacturing Technology, 14(8):588–607, 1998. ga98aNJawahar.
[1299] O. Z. Maimon and D. Braha. A genetic algorithm approach to scheduling PCBs on a single machine.
International Journal of Production Research, 36(3):761–784, 1998. ga98aOZMaimon.
[1300] Runwei Cheng and Mitsuo Gen. An evolution program for the resource-constrained project scheduling
problem. Int. J. Comput. Integr. Manuf. (UK), 11(3):274–287, 1998. †CCA43613/98 ga98aRCheng.
[1301] R. Mikut and F. Hendrich. Production scheduling in ring rolling mills using knowledge-based and genetic
approaches. Automatisierungstechnik, 46(1):15–21, 1998. In German †CCA23701/98 ga98aRMikut.
[1302] S¨
onke Hartmann. A competitive genetic algorithm for resource-constrained project scheduling. Naval
Research Logistics, 45(7):733–750, October 1998. ga98aSHartmann.
[1303] S. O. Orero and M. R. Irving. A genetic algorithm modelling framework and solution technique for short
term optimal hydrothermal scheduling. IEEE Transactions on Power Systems, 13(2):501–518, May 1998.
ga98aSOOrero.
[1304] P. J. Shiroma and G. Niemeyer. Production scheduling in the textile-industry - a practical approach
using evolutionary algorithms with domain-dependent information. In Proceedings of the 24th Annual
Conference of the IEEE Industrial Electronics Society, volume 1-4, pages 269–273, Aachen (Germany), 31.
aug- 4. sep ? 1998. IEEE, New York, NY. †P82605 ga98aShiroma.
´ ecicka and Franciszek Seredy´
[1305] Anna Swi¸
nski. Multiprocessor scheduling with cellular automata. In Oˇsmera
[1788], pages 214–219. ga98aSwiecick.
[1306] T. Elrad and J. Lin. Evolving processes and evolution schedulers for concurrent scheduling controls and
parallel evolutionary computation. In Proceedings of the 10 IPPS/SPDP’98 Workshop Held in Conjunction
with the 12th International Parallel Processing, pages 270–278, Orlando, FL, 30. mar- 3. april ? 1998.
Springer-Verlag, Berlin (Germany). †CCA78395/98 ga98aTElrad.
[1307] Tatsuya Konishi and Kazue Shimada. Work stop schedule adjusting/assisting system for power system,
1998. (JP patent no. 10201098. Issued July 31 1998) * fi.espacenet.com ga98aTKonishi.
[1308] Tatsuhiro Sato, Toshihiro Eguchi, and Tomohiro Murata. Scheduling method and device, 1998. (JP patent
no. 10393784. Issued November 4 1998) * fi.espacenet.com ga98aTatsuhiroSato.
[1309] Thomas Lohl, Christian Schulz, and Sebastian Engell. Sequencing of batch operations for a highly coupled production process: genetic algorithms versus mathematical programming. Computers in Chemical
Engineering, ?(?):S579–585, 1998. †ChA128:284142 ga98aThomasLohl.
116
Genetic algorithms in operations research
[1310] T. Tsuchiya, T. Osada, and T. Kikuno. Genetics-based multiprocessor scheduling using task duplication.
Microprocess. Microsyst. (UK), 22(3-4):197–207, 1998. †CCA89750/98 ga98aTsuchiya.
[1311] V. Vaidehi and C. N. Krishnan. Scheduling the parallel Kalman algorithm onto multiprocessor systems a genetic approach. Control Engineering Practice, 6(2):209–218, 1998. †CCA61966/98 ga98aVaidehi.
[1312] S. Webster, P. D. Jog, and A. Gupta. A genetic algorithm for scheduling job families on a single machine with arbitrary earliness penalties and an unrestricted common due date. International Journal of
Production Research, 36(9):2543–2551, 1998. ga98aWebster.
[1313] Yung-Yi Chung, Li-Chen Fu, and Ming-Wei Lin. Petri net based modeling and GA based scheduling for
a flexible manufacturing system. In Proceedings of the 37th IEEE Conference on Decision and Control,
volume 4, pages 4346–4347, Tampa, FL, 16.-18. December 1998. IEEE, Piscataway, NJ. †CCA69429/99
ga98aYunChung.
[1314] A. A. F. Carneiro, P. T. Leite, D. Silva, and A. C. P. Carvalho. Genetic algorithms applied to hydrothermal
system scheduling. In Proceedings of the 1998 International Conference on Power System Technology, pages
547–551, Beijing (China), 18.-21. August 1998. IEEE, New York, NY. †P82998 ga98bAAFCarneiro.
[1315] Alioune Ngom. Genetic algorithm for the jump number scheduling problem. Order, 15(1):59–73, ? 1998.
†www /MathRev2001a:06006 ga98bANgom.
[1316] K. Dussa-Zieger and M. Schwehm. Scheduling of parallel programs on configurable multiprocessors by
genetic algorithm. Solid-State Electronics, 42(7-8):23–38, 1998. †P81288 ga98bDussa-Zieger.
[1317] E. Hart, P. Ross, and J. Nelson. Solving a real-world problem using an evolving heuristically driven
schedule builder. Evolutionary Computation, 6(1):61–80, 1998. †CCA83976/99 ga98bEHart.
[1318] E. Torbey and J. Knight. Performing scheduling and storage-optimization simultaneously using genetic
algorithms. In Proceedings of the 1998 Midwest Symposium on Circuits and Systems, pages 284–287,
Notre Dame, NI (USA), 9.-12. August 1998. IEEE Computer Society Press, Los Alamitos , CA. †P84301
ga98bETorbey.
[1319] N. Jawahar, P. Aravindan, S. G. Ponnambalam, and Aravind A. Karthikeyan. A genetic algorithm-based
scheduler for setup-constrained FMC. Comput. Ind. (Netherlands), 35(3):291–310, 1998. †CCA73886/98
ga98bNJawahar.
[1320] Y. Li and K. F. Man. Scheduling and planning problem in manufacturing systems with multiobjective
genetic algorithm. In Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society,
volume 1-4, pages 274–279, Aachen (Germany), 31. aug-4. sep ? 1998. IEEE, New York, NY. †P82605
ga98bYLi.
[1321] K. Deb and P. Chakroborty. Time scheduling of transit systems with transfer considerations using genetic
algorithms. Evolutionary Computing, 6(1):1–24, 1998. †CCA84041/99 ga98cKDeb.
[1322] A. L. Patton, Erik D. Goodman, and William F. Punch, III. Scheduling variance loss population level
annealing for evolutionary computation. In Proceedings of the 1999 Congress on Evolutionary ComputationCEC99, volume 1, pages 760–767, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77238/99
ga99aALPatton.
[1323] A. Shaout and P. Mcauliffe. Automatic tuning of a fuzzy batch job scheduler using a genetic algorithm.
In Proceedings of the 18th International Conference of the North American Fuzzy Information Processing
Society, pages 144–148, New York, NY, 10.-12. June 1999. IEEE, New York, NY. †P85421 ga99aAShaout.
[1324] A. Y. Zomaya, C. Ward, and B. Macey. Genetic scheduling for parallel processor systems: comparative studies and performance issues. IEEE Trans. Parallel Distrib. Syst. (USA), 10(8):795–812, 1999.
†CCA91634/99 ga99aAYZomaya.
[1325] N. Alberti and G. Perrone. Multipass machining optimization by using fuzzy possibilistic programming and genetic algorithms. Proc. Inst. Mech. Eng. B, J. Eng. Manuf. (UK), 213(B3):261–273, 1999.
†CCA95039/99 ga99aAlberti.
[1326] B. Norman and James C. Bean. A genetic algorithm methodology for complex scheduling problems. Naval
Research Logistics, 46(?):199–211, ? 1999. †Altavista/Bean ga99aBNorman.
[1327] Baolin Wu and Xinghuo Yu. Evolutionary design of fuzzy gain scheduling controllers. In Proceedings of
the 1999 Congress on Evolutionary Computation, volume 3, pages 2139–2144, Washington, DC, 6.-9. July
1999. IEEE, Piscataway, NJ. †CCA78942/99 ga99aBaolinWu.
[1328] Christian Bierwirth. Adaptive Search and the Management of Logistics Systems Based Models for Learning
Agents. Kluwer Academic Publishers, Boston, 1999. †GA digest V. 13 N. 27 ga99aBierwirth.
Bibliography
117
[1329] Christian Bierwirth and Dirk C. Mattfeld. Production scheduling and rescheduling with genetic algorithms.
Evolutionary Computing, 7(1):1–17, 1999. †CCA76474/99 ga99aCBierwirt.
[1330] Colin D. Green. Practical handbook of genetic algorithms. In Chambers [1761], chapter 2. The generalisation and solving of timetable scheduling problems, pages 17–63. ga99aCDGreen.
[1331] B. J. Carnahan, M. S. Redfern, and B. A. Norman. A genetic algorithm for designing job rotation schedules considering ergonomic constraints. In Proceedings of the 1999 Congress on Evolutionary
Computation-CEC99, volume 2, pages 1093–1098, Washington, DC, 6.-9. July 1999. IEEE, Piscataway,
NJ. †CCA78452/99 ga99aCarnahan.
[1332] D. Todd and P. Sen. Distributed task scheduling and allocation using genetic algorithms. Comput. Ind.
Eng. (UK), 37(1-2):47–50, 1999. †CCA76382/99 ga99aDTodd.
[1333] C. Dimopoulos and A. M. S. Zalzala. A genetic programming heuristic for the one-machine total tardiness
problem. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 3, pages
2207–2214, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78457/99 ga99aDimopoulos.
[1334] Dingwei Wang, Mitsuo Gen, and Runwei Cheng. Scheduling grouped jobs on single machine with genetic
algorithm. Comput. Ind. Eng. (UK), 36(2):309–324, 1999. †CCA85712/99 ga99aDingWang.
[1335] F. S. C. Lam, B. C. Lin, C. Sriskandarajah, and H. Yan. Scheduling to minimize product design time
using a genetic algorithm. International Journal of Production Research, 37(6):1369–1386, April 1999.
ga99aFSCLam.
[1336] E. Figielska. Pre-emptive scheduling with changeovers: using column generation technique and genetic
algorithm. Comput. Ind. Eng. (UK), 37(1-2):81–84, 1999. †CCA73787/99 ga99aFigielska.
[1337] G. Celano, S. Fichera, V. Grasso, U. La Commare, and G. Perrone. An evolutionary approach to
multi-objective scheduling of mixed model assembly lines. Comput. Ind. Eng. (UK), 37(1-2):69–73, 1999.
†CCA69340/99 ga99aGCelano.
[1338] H. Tamaki, E. Nishino, and S. Abe. Modeling and genetic solution for scheduling problems with regular
and non-regular objective functions. Trans. Soc. Instrum. Control Eng. (Japan), 35(5):662–667, 1999. In
Japanese †CCA69386/99 ga99aHTamaki.
[1339] Haibin Yu, Xinhe Xu, Jinsong Xue, and Haobo Wang. Genetic algorithm for single machine scheduling with
general earlytardy penalty weights. In Proceedings of the 1999 American Control Conference, volume 2,
pages 885–889, San Diego, CA, 2.-4. June 1999. IEEE, Piscataway, NJ. †CCA87088/99 ga99aHaibinYu.
[1340] Edmond Hajrizi. The implementation of a GA for optimization of complex FMS scheduling. In B. Katalinic, editor, Proceedings of the 10th International DAAAM Symposium: Intelligent Manufacturing & Automation: Past - Present - Future, pages 181–182, Vienna (Austria), 21.-23. October 1999. DAAAM
International Vienna. ga99aHajrizi.
[1341] I. J. Jeong, G. Papavassilopoulos, and David S. Bayard. Task-scheduling on spacecraft by hybrid genetic
algorithms. In Proceedings of the IEEE International Conference on Robotics and Automation, pages
441–446, Detroit, MI, 10.-15. May 1999. IEEE, New York, NY. †P85388 ga99aIJJeong.
[1342] J. A. Joines and C. T. Culbreth. Job sequencing and inventory control for a parallel machine problem: a hybrid-GA approach. In Proceedings of the 1999 Congress on evolutionary Computation-CEC99,
volume 2, pages 1130–1137, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78454/99
ga99aJAJoines.
[1343] P. Jedrzejowcz, I. Czarnowski, H. Szreder, and A. Skakowski. Evolution-based scheduling of fault-tolerant
programs on multiple processors. In Proceedings of the 11th IPPS/SPDP’99 Workshops Held in Conjuction
with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed
Processing, pages 210–219, San Juan, Puerto Rico, 12.-16. April 1999. Springer-Verlag, Berlin (Germany).
†CCA90931/99 ga99aJedrzejo.
[1344] Jiyin Liu and Lixin Tang. A modifield genetic algorithms for single machine scheduling. Comput. Ind.
Eng. (UK), 37(1-2):43–46, 1999. †CCA69336/99 ga99aJiyinLiu.
[1345] K. J. Shaw, A. L. Nortcliffe, M. Thompson, J. Love, P. J. Fleming, and C. M. Fonseca. Assessing the
performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1, pages 37–45,
Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78449/99 ga99aKJShaw.
[1346] K. P. Dahal, C. J. Aldridge, J. R. McDonald, and G. M. Burt. A GA-based technique for the scheduling
of storage tanks. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 3,
pages 2199–2206, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †78289/99 ga99aKPDahal.
118
Genetic algorithms in operations research
¨
[1347] Linet Ozdamar.
A genetic algorithm approach to a general category project scheduling problem. IEEE
Transactions on Systems, Man, and Cybernetics, 29(1):44–59, February 1999. ga99aLOzdamar.
[1348] Lain-Chyr Hwang and Chung-Ju Chang. Analysis of a general limited scheduling mechanism for a distributed communication system. Computer Networks, 31(18):1879–1889, 17. August 1999. * www /ScienceDirect ga99aLain-ChyrHwang.
[1349] Rasiah Loganantharaj and Bushrod Thomas. Enchancing the ground processing scheduling system. In
2nd International Conference on Nonlinear Problems in Aviation and Aerospace, pages 439–446, Daytona
Beach, FL, 29. April-1. May 1999. European Conference Publications, Cambridge (UK). * A99-40230
ga99aLoganantharaj.
[1350] Nicolas Navet and J¨
orn Migge. Fine tuning the scheduling of tasks on Posix1003.1b compliant systems.
Research Report 3730, INRIA, 1999. ga99aNNavet.
[1351] Nan-Chieh Chiu, Shu-Cherng Fang, and Yuan-Shin Lee. Sequencing parallel machining operations by
genetic algorithms. Comput. Ind. Eng. (UK), 36(2):259–280, 1999. †CCA78461/99 ga99aNan-Chiu.
[1352] Olli K¨
am¨
ar¨
ainen. A finite capacity scheduling system for a silicon wafer manufacturer [hienokuormitusjrjestelm piikiekkovalmistajalle]. Master’s thesis, Helsinki University of Technology, 1999. †www /TKK
ga99aOlliKamarainen.
[1353] G. C. Onwubolu and M. Mutingi. Genetic algorithm for minimizing tardiness in flow-shop scheduling.
Prod. Plan. Control (UK), 10(5):462–471, 1999. †CCA69380/99 ga99aOnwubolu.
[1354] Philippe Baudet, Catherine Azzaro-Pantel, Luc Pibouleau, and Serge Domenech. A coupling between a
genetic algorithm and a simulation model for the short term scheduling of a discontinuous fine chemistry
industrial process. Rech. Oper. (France), 33(3):299–338, 1999. In French †CCA95127/99 ga99aPBaudet.
[1355] Peter Bober. Task scheduling for parallel simulation using genetic algorithms. Journal of Electrical Engineering, 50(7-8):242–244, 1999. ga99aPeterBober.
[1356] Gu Qingming, Song Wenzhong, and Cao Lijuan. A flexible scheduling method of bilevel genetic algorithm
based on group technology. Control Theory Appl. (China), 16(4):506–510, 1999. In Chinese †CCA88431/99
ga99aQingming.
[1357] R. C. Correa, A. Ferreira, and P. Rebreyend. Scheduling multiprocessor tasks with genetic algorithms.
IEEE Trans. Parallel Distrib. Syst. (USA), 10(8):825–837, 1999. †CCA91634/99 ga99aRCCorrea.
[1358] S. S. Lam and X. Cai. Early-tardy scheduling under fuzzy due dates using a genetic algorithm. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1079–1084, Washington,
DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78451/99 ga99aSSLam.
[1359] S. V. Bhaskara Reddy, M. S. Shunmugam, and T. T. Narendran. Operation sequencing in CAPP using genetic algorithms. International Journal of Production Research, 37(5):1063–1074, March 1999.
ga99aSVBReddy.
[1360] Tapan P. Bagchi. Multiobjective Scheduling by Genetic Algorithms. Kluwer Academic Publishers, Dordrecht
(The Netherlands), 1999. †brochure ga99aTPBagchi.
[1361] Takeshi Yamada, Kazuyuki Yoshimura, and Ryohei Nakano. Information operator scheduling by genetic
algorithms. In B. McKay, X. Yao, C. S. Newton, J.-H. Kim, and T. Furuhashi, editors, Simulated Evolution
and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL’98, volume
LNAI of 1585, pages 50–57, Canberra (Australia), November 1999. Springer-Verlag Berlin Heidelberg. *
www /Springer ga99aTYamada.
[1362] Y. Tsujimura and Mitsuo Gen. Parts loading scheduling in a flexible forging machine using an advanced
genetic algorithm. J. Intell. Manuf. (Netherlands), 10(2):149–159, 1999. †CCA69406/99 ga99aTsujimura.
[1363] B. Ulanicki, P. L. M. Bounds, and J. P. Rance. Using a GAMS modelling environment to solve network
scheduling problems. Meas. Control (UK), 32(4):110–115, 1999. †CCA84013/99 ga99aUlanicki.
[1364] Vladimir G. Toshinsky, Hiroshi Sekimoto, and Georgy I. Toshinsky. Multiobjective fuel management
optimization for Self-Fuel-Providing LMFBR using genetic algorithms. Annual Nuclear Energy, 26(9):783–
802, ? 1999. * ChA 258389q/99 ga99aVGToshinsky.
[1365] William J. Wolfe and Stephen E. Sorensen. Heuristics for scheduling Earth observing satellites. In
William L. Barnes, editor, Earth Observing Systems IV, volume SPIE-3750, pages 328–339, ?, September
1999. The International Society for Optical Engineering. * www/SPIE Web ga99aWJWolfe.
[1366] Zhongming Ye, Edward Lo, M. H. Pong, and K. H. Yuen. Traction system scheduling to minimize harmonic
current level at substation by genetic algorithm. In IEEE Power Engineering Society Summer Meeting,
volume 1, pages 384–389, Edmonton, Alta. (Canada), 18.-22. July 1999. IEEE, Piscataway, NJ. ga99aZYe".
Bibliography
119
[1367] T. Zeitlhofer and B. Wess. Operation scheduling for parallel functional units using genetic algorithms.
In Proceedings of the 1999 IEEE International Conference on Acoustics, Speech and signal Processing,
volume 4, pages 1997–2000, Phoenix, AZ, 15.-19. March 1999. IEEE, Piscataway, NJ. †CCA89804/99
ga99aZeitlhof.
[1368] Akimoto Kamiya, Kensuke Kawai, Isao Ono, and Shigenobu Kobayashi. Adaptive-edge search for power
plant start-up scheduling. IEEE Transactions on Systems, Man, and Cybernetics, 29(4):518–530, November
1999. ga99bAKamiya.
[1369] B. Filipic and D. Zupanic. Near-optimal scheduling of line production with an evolutionary. In Proceedings
of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1124–1129, Washington, DC,
6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78454/99 ga99bFilipic.
[1370] H. Tamaki, E. Nishino, and S. Abe. A genetic algorithm approach to multi-objective scheduling problems
with earliness penalties. In Proceedings of the 1999 Congress on Evolutionary Computational-CEC99,
volume 1, pages 46–52, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ.
†CCA78450/99
ga99bHTamaki.
[1371] Franciszek Seredy´
nski, J. Koronacki, and C. Z. Janikow. Distributed scheduling with decomposed optimization criterion: genetic programming approach. In Proceedings of the 11th IPPS/SPDP’99 Workshop Held
in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel
and Distributed Processing, pages 192–200, San Juan (Puerto Rico), 12.-16. April 1999. Springer-Verlag,
Berlin (Germany). †CCA89182/99 ga99bSeredynski.
[1372] Andrew J. Mason. Genetic Algorithms and Job Scheduling. PhD thesis, University of Cambridge, Department of Engineering, 1992. †Fogel/bib ga:AJMasonThesis.
[1373] Luis Rabelo, Yuehwern Yih, Albert Jones, and Jay-Shinn Tsai. Intelligent scheduling for flexible manufacturing systems. In Proceedings of the 1993 IEEE International Conference on Robotics and Automation,
volume 3, pages 810–815, Atlanta, GA, 2.-6. May 1993. IEEE Computer Society Press, Los Alamitos, CA.
* EI 128322/93 ga:AJones93a.
[1374] David Abramson, Graham Mills, and Sonya Perkins. Parallelisation of a genetic algorithm for the computation of efficient train schedules. In D. Arnold, R. Christie, J. Day, and P. Roe, editors, Parallel Computing and Transputers, volume 37 of Transputer and Occam Engineering Series, pages 139–149, Brisbane
(Australia), 3.-4. November 1993. IOS Press. (ftp://ftp.cit.gu.edu.aupub/D.Abramson/Trains.ps.Z)
ga:Abramson93a.
[1375] J. Abela, David Abramson, M. Krishnamoorthy, A. De Silva, and Graham Mills. Computing optimal
schedules for landing aircraft. In ?, editor, Proceedings of the 12th National Conference of the Australian
Society for Operations Research, page ?, Adelaide (Australia), 7.-9. July 1993. ? (ftp://ftp.cit.gu.edu.
aupub/D.Abramson/GAaircraft.ps.Z) ga:Abramson93b.
[1376] T. Chockalingam and S. Arunkumar. A randomized heuristics for the mapping problem: The genetic
approach. Parallel Computing, 18(10):1157–1165, 1992. ga:Arunkumar92.
[1377] Sugato Bagchi, Serdar Uckun, Yutaka Miyabe, and Kazuhiko Kawamura. Exploring problem-specific
recombination operators for job shop scheduling. In Belew and Booker [1790], pages 10–17. ga:Bagchi91.
[1378] James C. Bean and Bryan Norman. Random keys for job shop scheduling. Technical Report 93-7, University
of Michigan, Ann Arbor, Department of Industrial and Operations Engineering, 1993. †Back/bib/unpub
ga:Bean93a.
[1379] A. Hadj-Alouane, James C. Bean, and K. Murty. A hybrid genetic/optimization algorithm for a task
allocation problem. Technical Report 93-30, University of Michigan, Ann Arbor, Department of Industrial
and Operations Engineering, 1993. †Altavista/Bean ga:Bean93b.
[1380] Steven J. Beaty. Genetic algorithms and instruction scheduling. In Y. K. Malaiya, editor, Proceedings of the
24th Annual International Symposium (MICRO’24), pages 206–211, Albuquerque, NM, 18.-20. November
1991. ACM Press, New York. †ACM/91 CCA 19617/93 ga:Beaty91a.
[1381] Steven J. Beaty. Genetic algorithms versus tabu search for instruction scheduling. In Albrecht et al. [1791],
pages 496–501. ga:Beaty93a.
[1382] Steven J. Beaty. Instruction scheduling using genetic algorithms. PhD thesis, Colorado State University,
Fort Collins, CO, 1991. † ga:BeatyThesis.
[1383] John E. Biegel and James John Davern. Genetic algorithms and job shop scheduling. Computers & Industrial Engineering, 19(1-4):81–91, March 1990. (Proceedings of the 12th Annual Conference on Computers
and Industrial Engineering, Orlando, FL, 12.-14. March)* ga:Biegel90.
120
Genetic algorithms in operations research
[1384] S. St¨
oppler and Christian Bierwirth. The application of parallel genetic algorithm to the n/m/P/Cmax
flowshop problem. In G. Fandl, Th. Gulledge, and A. Jones, editors, New Directions for Operations
Research in Manufacturing, pages 161–175. Springer-Verlag, Berlin, 1992. ga:Bierwirth92a.
[1385] Christian Bierwirth. Flowshop Scheduling mit Parallelen Genetischen Algorithmen – Eine problemorientierten Analyse genetischer Suchstrategien. PhD thesis, Universit¨
at der Bremen, 1993. †Bierwirth
ga:BierwirthThesis.
[1386] Ralf Bruns. Incorporating of a knowledge-based scheduling system into a genetic algorithm. In Winfried
G¨
oke, Hermann Rininsland, and Max Syrbe, editors, Information als Produktionsfaktor, Proceedings of the
22. GI-Jahrestagung, pages 547–553, Karlsruhe, 28. September- 2. October 1992. Springer-Verlag, Berlin.
ga:Bruns92a.
[1387] Ralf Bruns. Direct chromosome representation and advanced genetic operators for production scheduling.
In Forrest [1750], pages 352–359. ga:Bruns93a.
[1388] Ralf Bruns. Knowledge-augmented genetic algorithm for production scheduling. In IJCAI-93 Workshop
on Knowledge-Based Production Planning, Scheduling, and Control, pages 49–58, Chambery (France),
29. August 1993. AAAI. ga:Bruns93b.
[1389] Carlos Gonzalez. Dynamic scheduling of computer tasks using genetic algorithms. Master’s thesis, University of Tulsa, Tulsa, OK, 1993. †Wainwright ga:CGonzalezMSThesis.
[1390] Hugh M. Cartwright and Gregory F. Mott. Looking around: Using clues from the data space to guide
genetic algorithm search. In Belew and Booker [1790], pages 108–114. ga:Cartwright91.
[1391] Kevin Richard Caskey. Genetic algorithms and neural networks applied to manufacturing scheduling. PhD
thesis, University of Washington, 1993. * DAI V. 54 N. 8 (Feb 94) ga:CaskeyThesis.
[1392] Gary A. Cleveland and Stephen F. Smith. Using genetic algorithms to schedule flow shop releases. In
Schaffer [1781], pages 160–169. ga:Cleveland89.
[1393] L. J. M. Cluitmans. Using genetic algorithms for scheduling data flow graphs. Technical Report EUT
Report 92-E-266, Eindhoven University of Technology, 1992. * EEA 14194/93 [1792] ga:Cluitmans92.
[1394] Daniel Costa. An evolutionary tabu search algorithm and the NHL scheduling problem. Technical Report
ORWP 92/11, Ecole Polytechnique F´ed´erale de Lausanne, D´epartement de Math´ematiques, Chaire de
Recherche Op´erationelle, 1992. ga:Costa92.
[1395] Paula S. Gabbert, Donald E. Brown, Christopher L. Huntley, Bernard P. Markowicz, and David E. Sappington. A system for learning routes and schedules with genetic algorithm. In Belew and Booker [1790],
pages 422–429. ga:DEBrown91a.
[1396] C. Dagli and Sinchai Sittisathanchai. Genetic neuro-scheduler for job shop scheduling. Computers &
Industrial Engineering, 25(1-4):267–270, 1993. †CCA 6856/94 ga:Dagli93a.
[1397] Lawrence Davis. Job shop scheduling with genetic algorithms. In Grefenstette [1749], pages 136–140.
ga:Davis85.
[1398] Lawrence Davis. Scheduling the 1992 Paralympic games with a genetic algorithm. Advanced Technology
for Developers, 2(?):8–11, January 1993. ga:Davis93d.
[1399] Fred F. Easton and Nashat Mansour. A distributed genetic algorithm for employee staffing and scheduling
problems. In Forrest [1750], pages 360–367. ga:Easton93a.
[1400] Emanuel Falkenauer and S. Bouffouix. A genetic algorithm for job shop. In Proceedings of the 1991
IEEE International Conference on Robotics and Automaton, volume 1, pages 824–829, Sacramento, CA,
9.-11. April 1991. IEEE Computer Society Press, Los Alamitos, CA. * EI A119336/92 ga:Falkenauer91a.
[1401] David W. Corne, Hsiao-Lan Fang, and C. Mellish. Solving the module exam scheduling problem with
genetic algorithms. In P. W. H. Chung, G. Lovegrove, and M. Ali, editors, Proceedings of the Sixth
International Conference in Industrial and Engineering Applications of Artificial Intelligence and Expert
Systems, pages 370–373, Edinburgh, Scotland, 1.-4. June 1993. Gordon and Breach Science, Langhorne.
†P62941/95 ga:Fang93a.
[1402] Hsiao-Lan Fang. Investigating GAs for scheduling. Master’s thesis, University of Edinburgh, Department
of Artificial Intelligence, 1992. †GA FAQ [1511] ga:FangMSThesis.
[1403] Bogdan Filipiˇc. Enchancing genetic search to schedule a production unit. In Bernd Neumann, editor, ECAI
92 10th European Conference on Artificial Intelligence, pages 603–607, Vienna (Austria), 3.-7. August 1992.
John Wiley & Sons. ga:Filipic92a.
Bibliography
121
[1404] Bogdan Filipiˇc. Enchancing genetic search to schedule a production unit. In Scheduling of Production
Processes, pages 61–69. Ellis Horwood, Chichester (England), 1993. †ACM/93 ga:Filipic93c.
[1405] Nashat Mansour and Geoffrey C. Fox. A hybrid genetic algorithm for task allocation in multicomputers.
In Belew and Booker [1790], pages 466–473. ga:GCFox91a.
[1406] Mitsuo Gen, Yasuhiro Tsujimura, Erika Kubota, and I. Chang. A genetic algorithm for flow shop problem.
In ?, editor, Proceedings of the JIMA Fall Meeting, pages 43–44, ?, ? 1993. ? (in Japanese) †[211]
ga:Gen93a.
[1407] Xiaodong Yin and No¨el Germay. Investigations on solving the load flow problem by genetic algorithms.
Electric Power Systems Research, 22(3):151–163, December 1991. ga:Germay91a.
[1408] N. Wehn, M. Held, and M. Glesner. A novel scheduling/allocation approach for datapath synthesis based
on genetic algorithms. In Proceedings of the IFIP TC10/WG10.5 Workshop on Logic and Architecture
Synthesis, pages 47–56, Paris, 30. May - . June 1990. North-Holland, Amsterdam. * EEA 35656/92
ga:Glesner90.
[1409] Fr´ed´eric C. Gruau. Genetic synthesis of modular neural networks. In Forrest [1750], pages 318–325.
ga:Gruau93a.
[1410] Hirak Mitra and Parameswaran Ramanathan. A genetic approach for scheduling non-preemptive tasks
with precedence and deadline constraints. In Trevor N. Mudge, Veljko Milutionovic, and Lawrence Hunter,
editors, Proceedings of the 26th Hawaii International Conference on Systems Science (HICSS-26), volume 1,
pages 556–564, Wailea, HI, 5.-8. January 1993. IEEE Computer Society press, Los Alamitos, CA. * [1064]
CCA 24784/94 ga:HMitra93a.
[1411] Clyde W. Holsapple, Varghese S. Jacob, Ramakrishnan Pakath, and Jigish S. Zaveri. A genetic-based
hybrid scheduler for generating static schedules in flexible manufacturing contexts. IEEE Transactions on
Systems, Man, and Cybernetics, 23(4):953–972, 1993. ga:Holsapple93a.
[1412] Edwin S. H. Hou, R. Hong, and Nirwan Ansari. Efficient multiprocessor scheduling based on genetic algorithms. In Proceedings of the 16th Annual Conference of IEEE Industrial Electronic Society (IECON’90),
volume II, pages 1239–1243, Pacific Grove, 27.-30. Nov. 1990. IEEE. ga:Hou90.
[1413] Edwin S. H. Hou and H. Y. Li. Task scheduling for flexible manufacturing systems based on genetic
algorithms. In Proceedings of the 1991 IEEE International Conference on Systems, Man and Cybernetics,
pages 397–402, Charlottesville, VA, 13.-16. October 1991. IEEE, New York. †Fogel/bib ga:Hou91a.
[1414] S. Hurley. Taskgraph mapping using a genetic algorithm: a comparison of fitness functions. Parallel
Computing, 19(11):1313–1217, November 1993. * CA 1613 Vol. 38 No. 3/4 ga:Hurley93a.
[1415] Hitoshi Iima and Nobuo Sannomiya. Genetic algorithm approach to a production ordering problem.
Transactions of the Society of Instrument and Control Engineers (Japan), 28(11):1337–1344, November
1992. (in Japanese) †CCA 19960/93 ga:Iima92.
[1416] Hitoshi Iima and Nobuo Sannomiya. A solution of modified flowshop scheduling problem by using genetic
algorithm. Transaction of Systems, Control and Information, 6(10):437–445, October 1993. (in Japanese)
* CCA 10541/93 news/Ylinen ga:Iima93a.
[1417] Toyoo Fukuda, Kazuyuki Mori, and Makoto Tsukiyama. Immune networks using genetic algorithm for
adaptive production scheduling. In G. C. Goodwin and R. J. Evans, editors, Automatic Control – World
Congress 1993, volume 4, pages 353–356, Sydney (Autralia), 18.-23. July 1993. Pergamon Press ltd, London. †P64070/95 ga:KMori93b.
[1418] Nagesh Kadaba and Kendall E. Nygard. Improving the performance of genetic algorithms in automated
discovery of parameters. In Bruce Porter and Raymond Mooney, editors, Machine Learning: Proceedings
of the Seventh International Conference, pages 140–148, University of Texas, 21. - 23. June 1990. Morgan
Kaufmann Publishers, Inc. ga:Kadaba90.
[1419] John J. Kanet and V. Sridharan. Progenitor: A genetic algorithm for production scheduling (reply).
Wirtschaftsinformatik, 34(2):256, April 1992. ga:Kanet92.
[1420] Michelle D. Kidwell. Using genetic algorithms to schedule distributed tasks on a bus-based system. In
Forrest [1750], pages 368–374. ga:Kidwell93a.
[1421] Michelle D. Kidwell. A parallel genetic algorithm for functional task distribution. In ?, editor, Proceedings
of the Federation of North Texas Universities Computer Science Conference, page ?, ?, ? 1993. ? †[992]
ga:Kidwell93b.
[1422] Herbert Kopfer. Progenitor - a genetic algorithm for production scheduling (comments). Wirtschaftsinformatik, 34(2):255–256, April 1992. ga:Kopfer92b.
122
Genetic algorithms in operations research
[1423] Mahesh C. Gupta, Yash P. Gupta, and Anup Kumar. Genetic algorithms application in a machine scheduling problem. In Stan C. Kwasny and John F. Buck, editors, Proceedings of the 21st Annual ACM Computer Science Conference, pages 372–377, Indianapolis, IN, 16.-18. February 1993. ACM, New York. * EI
M083458/94 ACM/93 ga:Kumar93b.
[1424] George Lawton.
ga:Lawton92.
Genetic algorithms for schedule optimization.
AI Expert, 7(5):23–27, May 1992.
[1425] M. R. Hilliard, Gunar E. Liepins, Mark R. Palmer, Michael Morrow, and Jon T. Richardson. A classifier
based system for discovering scheduling heuristics. In Grefenstette [1793], pages 231–235. ga:Liepins87b.
[1426] M. R. Hilliard, Gunar E. Liepins, and Mark R. Palmer. The computer as a partner in algorithmic design:
Automated discovery of parameters for a multiobjective scheduling heuristic. In Proceedings of the Impact
of Recent Computer Advances on Operations Research, pages 321–331, ?, ? 1988. ? † ga:Liepins88a.
[1427] M. R. Hilliard, Gunar E. Liepins, G. Rangarajan, and Mark R. Palmer. Learning decision rules for
scheduling problems. In Proceedings of the Sixth International Workshop on Machine Learning, pages 188–
200, Cornell University, Ithaca, NY, June 1989. Morgan Kauffman, San Mateo, CA. † ga:Liepins89b.
[1428] Dipankar Dasgupta and Douglas R. McGregor. Short term unit-commitment using genetic algorithms. In
Proceedings, Fifth International Conference on Tools with Artificial Intelligence TAI’93, pages 240–247,
Boston, MA, 8.-11. November 1993. IEEE Computer Society Press, Los Alamitos, CA. also as [1429]
ga:McGregor93c.
[1429] Dipankar Dasgupta and Douglas R. McGregor. Short term unit-commitment using genetic algorithms.
Technical Report IKBS-16-93, University of Strathclyde, Department of Computer Science, Galsgow,
1993. (a version of [1428]; ftp://reports-ftp.cs.strath.ac.uk/researchreports/ikbs-16-93.ps.Z)
ga:McGregor93cc.
[1430] Philip Husbands, Frank Mill, and S. Warrington. Genetic algorithms, production plan optimization, and
scheduling. In Schwefel and M¨
anner [1751], pages 80–84. ga:Mill90.
[1431] Philip Husbands and Frank Mill. Simulated co-evolution as the mechanism for emergent planning and
scheduling. In Belew and Booker [1790], pages 264–270. ga:Mill91.
[1432] H. Mulkens. Revisiting the Johnson algorithm for flowshop scheduling with genetic algorithms. In E. Ezelke
and R. M. Kerr, editors, Knowledge-Based Reactive Scheduling, volume 15 of IFIP Transactions B Applications in Technology, pages 69–80, Athens (Greece), 1. October 1993. Elsevier Science Publ. B. V.,
Amsterdam. * P60647/94 EI M163631/94 ga:Mulkens93a.
[1433] Ryohei Nakano. Conventional genetic algorithm for job shop problems. In Belew and Booker [1790], pages
474–479. ga:Nakano91.
[1434] V. Venugopal and T. T. Narendran. A genetic algorithm approach to the machine-component grouping
problem with multiple objectives. Computers & Industrial Engineering, 22(4):469–480, October 1992. *
[473] CA 5613 Vol. 37 No. 7/8; CCA 1291/93 ga:Narendran92a.
[1435] Hsiao-Lan Fang, Peter Ross, and David W. Corne. A promising genetic algorithm approach to jobshop scheduling, re-scheduling and open-shop scheduling problems. In Forrest [1750], pages 375–382.
ga:PRoss93a.
[1436] Jan Paredis. Exploiting constraints as background knowledge for genetic algorithms - a case-study for
scheduling. In M¨
anner and Manderick [1762], pages 229–238. † ga:Paredis92a.
[1437] Jan Paredis. Genetic state-space search for constrained optimization problems. In IJCAI-93 Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, volume 2, pages 967–972,
Chamb´ery (France), 28. August - 3. September 1993. Morgan Kaufmann Publishers, Inc., San Mateo, CA.
ga:Paredis93a.
[1438] Ulrich Dorndorf and Erwin Pesch. Evolution based learning in a job shop scheduling environment. Technical
Report RM 92-019, Limburg University, Faculty of Economics, 1992. ga:Pesch92a.
[1439] C. Muller, E. H. Magill, P. Prosser, and D. G. Smith. Distributed genetic algorithms for resource allocation.
In Scheduling of Production Processes, pages 70–78. Ellis Horwood, Chichester (England), 1993. †ACM/93
ga:Prosser93a.
[1440] Colin R. Reeves. Recent algorithmic developments applied to scheduling problems. In Proceedings of the
9th IASTED Symposium on Applied Informatics, pages 155–158, Innsbruck (Austria), 18.-21. February
1991. ACTA Press, Anaheim, CA. † ga:Reeves91b.
Bibliography
123
[1441] Colin R. Reeves. A genetic algorithm approach to stochastic flowshop sequencing. In Proceedings of the
IEE Colloquium on Genetic Algorithms for Control and Systems Engineering, volume Digest No. 1992/106,
pages 131–134, London, 8. May 1992. IEE, London. † ga:Reeves92a.
[1442] Steven F. Roth and Stephen F. Smith. Intelligent support for human computer interaction and decisionmaking in distribution planning and scheduling systems. Final report ARO-29354.3-MA, Carnegie-Mellon
University, 1993. * N93-30124 ga:SFSmith93a.
[1443] Stephen P. Smith. An experimenta on using genetic algorithms to learn scheduling heuristics. In Gautam
Biswas, editor, Applications of Artificial Intelligence X: Knowledge-Based Systems, volume SPIE-1707,
pages 378–386, Orlando, FL, 22. - 24. April 1992. The International Society for Optical Engineering.
ga:SPSmith92.
[1444] M. Sakawa, J. Utaka, M. Inuiguchi, I. Shiromaru, N. Suginohara, and T. Inoue. Hot parts operating
schedule of gas turbines by genetic algorithms and fuzzy satisficing methods. In IJCNN’93 [1794], pages
746–749. ga:Sakawa93a.
[1445] M. Sakawa et al. Hot parts operating schedule by genetic algorithms and fuzzy modeling. In ?, editor,
Proceedings of the 9th Fuzzy System Symposium, page ?, Sapporo (Japan), May 1993. ? (in Japanese)
†Achilles/Fuzzy-Scheduling ga:Sakawa93b.
[1446] J. W. Schulte and B.-D. Becker. Production scheduling using genetic algorithms. In Selected Papers from
the 7th IFAC/IFIP/IFORS/IMACS/ISPE Symposium, pages 367–372, Toronto (Canada), 25.-28. May
1992 1993. Pergamon, Oxford. * CCA 10553/93 ga:Schulte93a.
[1447] In Lee, Riyaz Sikora, and Michael J. Shaw. Joint lot sizing and sequencing with genetic algorithms for
scheduling: evolving the chromosome structure. In Forrest [1750], pages 383–389. ga:Sikora93a.
[1448] J. L. Sponsler. Genetic algorithms applied to the scheduling of the Hubble space telescope. In J. Rash,
editor, 1989 Goddard Conference on Space Applications of Artificial Intelligence, volume NASA Conference
Publications, 3033, pages 391–, Greenbelt, MD, 16.-17. May 1989. NASA. †P42743 ga:Sponsler89a.
[1449] J. L. Sponsler. Genetic algorithms applied to the scheduling of the Hubble space telescope. Telematics
and Informatics, 6(3-4):181–190, 1989. † ga:Sponsler89b.
[1450] Timothy John Starkweather. Optimization of sequencing problems using genetic algorithms. PhD thesis,
Colorado State University, 1993. * DAI Dec. 93 ga:StarkweatherThesis.
[1451] Suk-Jun Kim. Parallel genetic algorithms for single machine job scheduling with earliness and tardiness
penalties. Master’s thesis, KASIST, 1992. †[1208] ga:Suk-JunKim92a.
[1452] Gilbert Syswerda and D. Gerys. Knowledge-based genetic search in schedule optimization. In Proceedings
of the Fourth International Conference: Expert Systems in Production and Operations Management, pages
125–133, ?, ? 1990. ? † ga:Syswerda90.
[1453] Gilbert Syswerda and Jeff Palmucci. The application of genetic algorithms to resource scheduling. In
Belew and Booker [1790], pages 502–508. ga:Syswerda91a.
[1454] Gilbert Syswerda. Schedule optimization using genetic algorithms. In Davis [1784], chapter 21, pages
332–349. ga:Syswerda91b.
[1455] Tai A. Ly and Jack T. Mowchenko. Applying simulated evolution to high level synthesis. IEEE Transactions
on Computer-Aided Design of Integrated Circuits and Systems, 12(3):389–409, March 1993. ga:TALy93a.
[1456] Traian Muntean and El-Ghazali Talbi. M´ethodes de placement statique des processus sur architectures
parall`eles. Technique et Science Informatique TSI, 10(5):355–373, November 1991. (ftp://imag.fr/pub/
SYMPA/talbi.TSI91.f.ps.Z) ga:Talbi91d.
[1457] El-Ghazali Talbi. Etude exp´erimentale d’algorithmes de placement de processus. Lettre du Transputer et
des Calculateurs Distribu´es, 15(?):7–26, September 1992. (in French; ftp://imag.fr/pub/SYMPA/talbi.
LT92.e.ps.Z) ga:Talbi92b.
[1458] Yoshikazu Nishikawa and Hisashi Tamaki. A neighborhood model of the genetic algorithm and its application to the jobshop scheduling. In Proceedings of the 34th Japan Joint Automatic Control Conference,
pages 345–346, ?, ? 1991. ? † ga:Tamaki91a.
[1459] Hisashi Tamaki and Yoshikawa Nishikawa. A parallel genetic algorithm based on a neighborhood model
and its application to the jobshop scheduling. In M¨
anner and Manderick [1762], pages 573–582. †
ga:Tamaki92a.
124
Genetic algorithms in operations research
[1460] Hisashi Tamaki, Yoshishige Hasegawa, Junji Kozasa, and Miyuhiko Araki. Application of search methods
to scheduling problem in plastics forming plant: A binary representation approach. In Proceedings of
the 32nd IEEE Conference on Decision and Control, volume 4, pages 3845–3850, San Antonio, TX, 15.17. December 1993. IEEE. †EI M086345/94 ga:Tamaki93b.
[1461] Kojima Morikawa, T. Nakayama, Takeshi Furuhashi, and Yoshiki Uchikawa. LSI assembly line scheduling
using a genetic algorithm. Transactions of the Institute of Electrical Engineers of Japan C, 113-D(12):1416–
1422, December 1993. (in Japanese) * CCA 52159/94 ga:Uchikawa93c.
[1462] Darrell Whitley, Timothy John Starkweather, and Daniel Shaner. Using simulations with genetic algorithms for optimizing schedules. In B. Svrcek and J. McRae, editors, Proceedings of the 1990 Computer Simulations Conference, pages 288–293, Galgary (Canada), 16.-18. July 1990. SCS, San Diego, CA.
†Fogel/bib ga:Whitley90e.
[1463] Yei Chang Kim and Young Sik Hong. A genetic algorithm for task allocation in multiprocessor systems.
J. Korea Inf. Sci. Soc. (South Korea), 20(1):43–51, 1993. * CCA 45968/93 ga:YSHong93a.
[1464] Yei Chang Kim and Young Sik Hong. Task allocation using a genetic algorithm in multicomputer system. In Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control and
Power Engineering (TENCON’93), volume 1, pages 258–261, Beijing (China), 19.-21. October 1993. IEEE.
ga:YSHong93b.
[1465] Jarmo T. Alander. Indexed bibliography of genetic algorithms in operations research. Report 94-1-OR,
University of Vaasa, Department of Information Technology and Production Economics, 1995. http:
//lipas.uwasa.fi/~TAU/reports/report94-1/gaORbib.pdf gaORbib.
[1466] Jarmo T. Alander. Indexed bibliography of genetic algorithms in scheduling. Report 94-1-SCHEDULING,
University of Vaasa, Department of Information Technology and Production Economics, 2001. http:
//lipas.uwasa.fi/~TAU/reports/report94-1/gaSCHEDULINGbib.pdf gaSCHEDULINGbib.
[1467] Ian Cloete and Jacobus van Zyl. Evaluation function guided search for fuzzy set covering. In Proceedings
of the 2004 IEEE International Conference on Fuzzy Systems 2004, volume 2, pages 1007–1012, Budapest
(Hungary), 25.-29. July 2004. IEEE, Piscataway, NJ. ga04aIanCloete.
[1468] Yun-Feng Ma, Chao Yang, and Min Zhang. Genetic algorithm for time-satisfaction-based set covering
location problems. In Proceedings of the 2005 IEEE International Conference on Communications, Circuits
and Systems, volume 2, pages 1037–1041, ?, 27.-30. May 2005. IEEE, Piscataway, NJ. ga05aYun-FengMa.
[1469] Wen-Chih Huang, Cheng-Yan Kao, and Jorng-Tzong Horng. A genetic algorithm approach for set covering
problems. In ICEC’94 [1770], pages 569–574. ga94aHuang.
[1470] David Orvosh and Lawrence Davis. Using a genetic algorithm to optimize problems with feasibility constraints. In ICEC’94 [1770], pages 548–553. ga94aOrvosh.
[1471] Thomas B¨
ack, M. Schutz, and Sami Khuri. A comparative study of a penalty function. a repair heuristic
and stochastic operators with the set-covering problem. In ? [1803], page ? †conf.prog ga95aBack.
[1472] Luis F. Gonz´
alez-Hern´
andez. Evolutionary divide and conquer for the set covering problem. Master’s thesis,
University of Edinburgh, Department of Artificial Intelligence, 1995. †[?] ga95aGonzales-Hernandez.
[1473] L. F. G. Hernandez and David W. Corne. Evolutionary divide and conquer for the set-covering problem. In
?, editor, Proceedings of the Evolutionary Computing, volume ?, pages 198–208, Brighton, UK, 1.-2. April
1996. Springer-Verlag, Berlin (Germany). †CCA94411/96 ga96aHernandez.
[1474] Fushuan Wen and C. S. Chang. A new approach to fault section estimation in power systems based on the
set covering theory and a refined genetic algorithm. In ?, editor, Proceedings of the Twelfth Power Systems
Computation Conference, volume 1, pages 358–365, Dresden (Germany), 20.-23. August 1996. Power Syst.
Comput. Conference, Zurich, Switzerland. †EEA91179/97 ga96cFushuWen.
[1475] Jo˜
ao Carlos Furtado. Algoritmo gen´etico construtivo na otimiza¸ca
˜o de problemas combinatoriais de agrupamentos. PhD thesis, Instituto Nacional de Pesquisas Espaciais, 1998. (in Purtuguese) ga98aJCFurtado.
[1476] D. Alexandrov and Y. Kochetov. Behavior of the ant colony algorithm for the set covering problem. In
K. Inderfurth, G. Schwodiauer, W. Domske, F. Juhnke, P. Kleinschmidt, and G. Wascher, editors, Symposium on Operations Research (SOR 99), volume ?, pages 255–259, Magdeburg, Germany, 1.-3.September
1999. Springer-Verlag Berlin. †P90086 ga99aDAlexandrov.
[1477] Sandip Sen. Minimal cost set covering using probabilistic methods. In ?, editor, Proceedings of the 1993
ACM/SIGAPP Symposium on Applied Computing, pages 157–164, Indianapolis, IN, 14.-16. February 1993.
ACM, New York. †Sen/News ga:SSen93b.
Bibliography
125
[1478] D. Ansa Sekharan and Roger L. Wainwright. Manipulating subpopulations of feasible and infeasible
solutions genetic algorithms. In K. M. George Deaton and George Hedrick Hal. Berghel, editors, Proceedings of the 1993 ACM/SIGAPP Symposium on Applied Computing, pages 118–125, Indianapolis, IN,
14.-16. February 1993. ACM Press, New York. †Sen/News ACM/93 ga:Wainwright93b.
[1479] Bryant A. Julstrom. Comparing lists of edges with two other genetic codings of rectilinear Steiner trees.
pages 155–161, 2000. ga00aBAJulstrom.
[1480] Henrik Esbensen. Computing near-optimal solutions to the Steiner problem in a graph using a genetic algorithm. Report DAIMI PB-468, Aarhus University, Computer Science Department, 1994. ga94aEsbensen.
[1481] Henrik Esbensen and Pinaki Mazumder. Genetic algorithm for Steiner problem in a graph. In Proceedings
of the European Design and Test Conference, pages 402–406, Paris, February 28.-March 3. 1994. IEEE
Computer Society Press, Los Alamitos, CA. †EI M141889/94 ga94bEsbensen.
[1482] Henrik Esbensen. Finding (near-)optimal Steiner trees in large graphs. In Eshelman [1765], page ? †prog
ga95aEsbensen.
[1483] Henrik Esbensen. Computing near-optimal solutions to the steiner problem in a graph using a genetic
algorithm. Networks, 26(4):173–185, December 1995. ga95bEsbensen.
[1484] S. Voss and K. Gutenschwager. A chunking based genetic algorithm for the Steiner tree problem in graphs.
In Proceedings of the Network Design: Connectivity and Facilities Location, pages 335–355, Rutgers, NJ
(USA), 28.-30. April 1997. American Math. Soc., Providence, RI (USA). †CCA34025/98 ga97aSVoss.
[1485] P. Guitart and J. M. Basart. A genetic algorithm approach for the Steiner problem in graphs. In Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing, volume 1, pages
508–512, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen (Germany). †CCA68134/99
ga98aGuitart.
[1486] J. Hesser, R. M¨
anner, and O. Stucky. Optimization of Steiner trees using genetic algorithms. In Schaffer
[1781], pages 231–236. ga:Hesser89.
[1487] J. Hesser, R. M¨
anner, and O. Stucky. On Steiner trees and genetic algorithms. In Becker et al. [1756],
pages 509–525. ga:Hesser91a.
[1488] S. Kanatis. The directed Steiner tree problem: An application of genetic algorithms. Master’s thesis,
University of East Anglia, 1992. † ga:KanatisMSThesis.
[1489] Michiel C. van Wezel, Joost N. Kok, J. van den Berg, and W. van Kampen. Genetic improvement of
railway timetables. In Alander [1752], pages 71–88. (ftp://ftp.uwasa.fics/report94-2/Wezel.ps.Z)
ga94aWezel.
[1490] William F. Nice. Genetic algorithms for timetabling. In Alander [1766], pages 35–42. (ftp://ftp.uwasa.
fics/1NWGA/Alander2.ps.Z) ga95aNice.
[1491] Julian Sheung, Alex Fan, and Anthony Tang. Time tabling using genetic algorithm and simulated annealing. In Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control
and Power Engineering (TENCON’93), volume 1, pages 448–451, Beijing (China), 19.-21. October 1993.
IEEE. ga:ATang93a.
[1492] David Abramson and J. Abela. A parallel genetic algorithm for solving the school timetabling problem.
In ?, editor, IJCAI Workshop on Parallel Processing in AI, page ?, Sydney (Australia), August 1992. ?
(also as [1494]; ftp://ftp.cit.gu.edu.aupub/D.Abramson/SchoolGA.ps.Z) ga:Abramson91a.
[1493] David Abramson and J. Abela. A parallel genetic algorithm for solving the school timetabling problem.
Technical Report TR-91-02, C.S.I.R.O., Division of Information Technology, Department of Communication and Electronic Engineering, Melbourne, 1991. †GA FAQ ga:Abramson91b.
[1494] David Abramson and J. Abela. A parallel genetic algorithm for solving the school timetabling problem.
In ?, editor, 15th Australian Computer Science Conference, page ?, Hobart (Australia), February 1992. ?
(also as [1492]; ftp://ftp.cit.gu.edu.aupub/D.Abramson/SchoolGA.ps.Z) ga:Abramson92a.
[1495] Alberto Colorni, Marco Dorigo, and Vittorio Maniezzo. On the use of genetic algorithms to solve the
time-table problems. Technical Report 90-060, Politecnico di Milano, Dipartimento di Elettronica, 1990.
ga:Dorigo90a.
[1496] Alberto Colorni, Marco Dorigo, and Vittorio Maniezzo. Genetic algorithms: A new approach to the timetable problem. In M. Akg¨
ul et al, editor, Combinatorial Optimization, volume F 82 of NATO ASI Series,
pages 235–239, ?, ? 1992. Springer-Verlag, Berlin. ga:Dorigo90c.
126
Genetic algorithms in operations research
[1497] Alberto Colorni, Marco Dorigo, and Vittorio Maniezzo. Genetic algorithms and highly constrained problems: The time-table case. In Schwefel and M¨
anner [1751], pages 55–59. ga:Dorigo91e.
[1498] Si-Eng Ling. Integrating genetic algorithms with a Prolog assignment program as a hybrid solution for a
polytechnic timetable problem. In M¨
anner and Manderick [1762], pages 321–330. ga:Ling92a.
[1499] Alberto Colorni, Marco Dorigo, and Vittorio Maniezzo. Gli algoritmi genetici e il problema dell’orario.
Rivista di Ricerca Operativa, (60):5–31, 1992. (in Italian) ga:Maniezzo92b.
[1500] J¨
orn Sch¨
onberger, Dirk C. Mattfeld, and Herbert Kopfer. Automated timetable generation for rounds of
a table-tennis league. In Proceedings of the 2000 Congress on Evolutionary Computation, pages 277–284,
?, ? 2000. IEEE, Piscataway, NJ. * ResearchIndex ga00aJornSchonberger.
[1501] Hitoshi Kanoh, M. Kondo, and M. Sugimoto. Solving timetabling problems using genetic algorithms based
on minimizing conflict heuristics. pages 257–262, 2002. ga02aHKanoh.
[1502] Salihin F. Shoeeb, Raja N. Ainon, and Roziati Zainuddin. An evolutionary program for a Malaysian
school timetabling problem. In Yuping Wang, Yiu ming Cheung, and Hailin Liu, editors, Advances in
Computational Intelligence and Security, Proceedings of the Workshop of 2005 International Conference on
Computational Intelligence and Security, pages 58–62, Xian (China), 15. December 2005. Xidian University
Press. ga05aSFShoeeb.
[1503] Muhammad Rozi Malim. Adapting immune system based algorithms for class timetabling. In Information Retrieval & Knowledge Management, (CAMP), 2010 International Conference on, volume ?,
pages 215–222, Shah Alam (Malaysia), 17.-18, March 2010. IEEE, Piscataway, NJ. ga10aMRMalim ⇒
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5466914&tag=1.
[1504] David W. Corne, Peter Ross, and Hsiao-Lan Fang. Fast practical evolutionary timetabling. In Terence C.
Fogarty, editor, Evolutionary Computing. Selected Papers of the AISB Workshop, pages 250–263, Leeds
(UK), 11.-14. April 1994. Springer-Verlag, Berlin. * CCA 12886/95 ga94aCorne.
[1505] William F. Nice. Genetic algorithms for timetabling. Master’s thesis, University of Newcastle Upon Tyne,
1994. ga94aNice.
[1506] Ben Paechter, Henri Luchian, Andrew Cumming, and Mihai Petriuc. Two solutions to the general timetable
problem using evolutionary methods. In ICEC’94 [1770], pages 300–305. ga94aPaechter.
[1507] Peter Ross, David W. Corne, and Hsiao-Lan Fang. Improving evolutionary timetabling with delta evaluation and directed mutation. In Davidor et al. [1764], pages 556–565. * CCA 41663/95 ga94aRoss.
[1508] B. Paechter. Optimising a presentation timetable using evolutionary algorithms. In Terence C. Fogarty,
editor, Evolutionary Computing. Selected Papers of the AISB Workshop, pages 264–276, Leeds (UK),
11.-14. April 1994. Springer-Verlag, Berlin. * CCA 12887/95 ga94bPaechter.
[1509] Peter Ross, David W. Corne, and Hsiao-Lan Fang. Timetabling by genetic algorithms: Issues and approaches. Technical Report AIGA-006-94, University of Edinburgh, Department of Artificial Intelligence,
1994. †[1511] ga94bRoss.
[1510] E. K. Burke, J. P. Newall, and R. F. Weare. A memetic algorithm for university exam timetabling.
In Proceedings of the First international Conference on Practice and Theory of Automated Timetabling,
pages 241–250, Edinburgh, UK, 29. August-1. September 1995. Springer-Verlag, Berlin (Germany).
†CCA6504/97 ga95aBurke.
[1511] David W. Corne, Peter Ross, and Hsiao-Lan Fang. Practical handbook of genetic algorithms. In Chambers
[1759], chapter 8. Evolving timetables, pages 219–276. ga95aCorne.
[1512] Wilhelm Erben. Timetabling using genetic algorithms. In Pearson et al. [1753], pages 30–32. ga95aErben.
[1513] A. Ergul. GA-based examination sceduling experience at Middle East Technical University. In Proceedings
of the First International Conference, practice and Theory of Automated Timetabling, pages 212–226,
Edinburgh, Scotland, 29. August-1. September 1995. Springer-Verlag, Berlin (Germany). †CCA6503/97
ga95aErgul.
[1514] Werner Junginger. Genetic algorithms in timetabling. In ?, editor, Proceedings of the 2nd Workshop
on Models and Algorithms for Planning and Scheduling Problems, page ?, Wernigerode (Germany), 22.26. May 1995. ? (accepted for publication) †conf. prog./opt net ga95aJunginger.
[1515] Ben Paechter, A. Cumming, M. G. Norman, and Henri Luchian. Extensions to a memetic timetabling system. In Proceedings of the First International Conference, Practice and Theory of Automated Timetabling,
pages 251–265, Edinburgh, Scotland, 29. August-1. September 1995. Springer-Verlag, Berlin (Germany).
†CCA6400/97 ga95aPaechter.
Bibliography
127
[1516] Peter Ross and Andrew Tuson. The phase transition niche for evolutionary algorithms in timetabling.
In ?, editor, Proceedings of the First International Conference on the Theory and Practice of Automated
Timetabling, page ?, Edinburgh, ? 1995. Napier University. †[1801] ga95aRoss.
[1517] Wilhelm Erben and J. Keppler. A genetic algorithm solving a weekly course-timetabling problem.
In Proceedings of the First International Conference, Practice and Theory of Automated Timetabling,
pages 198–211, Edinburgh, Scotland, 29. August-1. September 1995. Springer-Verlag, Berlin (Germany).
†CCA6502/97 ga95bErben.
[1518] Ben Paechter, Andrew Cumming, and Henri Luchian. The use of local search suggestion lists for improving
the solution of timetable problems with evolutionary algorithms. In Proceedings of the Evolutionary Computing. AISB Workshop, pages 86–93, Sheffield (UK), 3.-4. April 1995. Springer-Verlag, Berlin (Germany).
†CCA7105/95 ga95bPaechter.
[1519] D. C. Rich. A smart genetic algorithm for university timetabling. In Proceedings of the First International Conference, Practice and Theory of Automated Timetabling, pages 181–197, Edinburgh, Scotland,
29. August-1. September 1995. Springer-Verlag, Berlin (Germany). †CCA6501/97 ga95bRich.
[1520] Peter Ross and David W. Corne. Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetabling problems. In Proceedings of the Evolutionary Computing, pages 94–102, Sheffield
(UK), 3.-4. April 1995. Springer-Verlag, Berlin (Germany). †CCA7106/95 ga95bRoss.
[1521] Peter Ross and H. Terashima-Marin. The phase-transition niche for evolutionary algorithms in timetabling.
In Proceedings of the First International Conference, Practice and Theory of Automated Timetabling,
pages 309–324, Edinburgh, Scotland, 29. August-1. September 1995. Springer-Verlag, Berlin (Germany).
†CCA6401/97 ga95cRoss.
[1522] David C. Rich. A smart genetic algorithm for university timetabling. In ?, editor, Practice and
Theory of Automated Timetabling, volume 1153 of Lecture Notes in Computer Science, pages 181–
197, ?, ? 1996. Springer-Verlag, Heidelberg. ga96aDCRich ⇒ http://www.springerlink.com/content/
7418726170475115/.
[1523] Daijin Kim and Chulhyun Kim. Automated generation of lecture timetables using genetic algorithms
based on penalty function. J. KISS(C). Comput. Pract. (South Korea), 2(3):317–325, 1996. (In Korean)
†CCA6478/97 ga96aDKim.
[1524] A. Monfroglio. Hybrid genetic algorithms for timetabling. International Journal of Intelligent Systems,
11(8):477–523, 1996. †CCA83164/96 ga96aMonfrogl.
[1525] Angelo Monfroglio. Timetabling through constrained heuristic search and genetic algorithms. Software Practice and Experience, 26(3):251–279, March 1996. ga96aMonfroglio.
[1526] Andreas Drexl and Frank Salewski. Distribution requirements and compactness constraints in school
timetabling. J. of Oper. Res., 102(1):193–214, 1997. †EI M024966/98 ga97aAndDrexl.
[1527] B. C. H. Turton. Genetic algorithms and the timetabling problem. In George D. Smith and Nigel C. Steele,
editors, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms,
pages 275–280, Norwich, UK, 2.-4. April 1997. Springer-Verlag, Berlin. ga97aBCTurton.
[1528] B. Rebajn. A genetic algorithm to solve the timetable problem in high school. Zesz. Nauk. Politech. Sl.
Ser., Inf. (Poland), (33):75–91, 1997. In Polish †CCA63505/98 ga97aBRebajn.
[1529] Lars V. Kragelund. Solving a timetabling problem using hybrid genetic algorithms. Software - Practice
and Experience (UK), 27(10):1121–1134, 1997. †CCA105479/97 ga97aKragelund.
[1530] S. Deris, S. Omatu, H. Ohta, and P. Saad. A constraint-directed genetic algorithm for university timetable
planning. In Proceedings of the 1997 International Conference on Neural Information Processing and
Intelligent Information Systems, volume 1, pages 477–480, Dunedin (New Zealand), 24.-28. November
1997. Springer-Verlag, Berlin (Germany). †CCA81277/98 ga97aSDeris.
[1531] W. Salwach. Genetic algorithms in solving constraint satisfaction problems. the timetable case. Bad. Oper.
Decyzje (Poland), (2):55–63, 1997. In English †CCA43630/98 ga97aSalwach.
[1532] D. Corne. Evolutionary approaches to the partition/timetabling problem. In George D. Smith and Nigel C.
Steele, editors, Proceedings of the International Conference on Artificial Neural Networks and Genetic
Algorithms, pages 281–284, Norwich, UK, 2.-4. April 1997. ga97bDCorne.
[1533] E. K. Burke and J. P. Newall. A phased evolutionary approach for the timetable problem: an initial
study. In Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, volume 2, pages 1038–1041, Dunedin (New Zealand), 24.-28. November 1997.
Springer-Verlag, Singapore. †CCA72111/98 ga97cEKBurke.
128
Genetic algorithms in operations research
[1534] E. K. Burke, J. P. Newall, and R. F. Weare. Initialization strategies and diversity in evolutionary
timetabling. Evolutionary Computing, 6(1):81–103, 1998. †CCA78280/99 ga98aEKBurke.
[1535] M. Fukushima and S. Tanaka. Adaptive genetic algorithms for solving school timetabling problems. Trans.
Inst. Electron. Inf. Commun. Eng. D-I (Japan), J81D-I(6):883–885, 1998. In Japanese †CCA72096/98
ga98aMFukushima.
[1536] M. Tanaka, O. Matsuo, and M. Yamada. Application of genetic algorithm to time tabling problems
incorporating requests. Trans. Inst. Syst. Control Inf. Eng. (Japan), 11(5):233–240, 1998. In Japanese
†CCA67162/98 ga98aMTanaka.
[1537] P. Adamidis and P. Arapakis. Evolutionary algorithms in lecture timetabling. In Proceedings of the 1999
Congress on Evolutionary Computation-CEC99, volume 2, pages 1145–1151, Washington, DC, 6.-9. July
1999. IEEE, Piscataway, NJ. †CCA83794/99 ga99aAdamidis.
[1538] H. Terashima-Marin, P. Ross, and M. Velanzuela-Rendon. Application of the hardness theory when solving
the timetabling problem with genetic algorithms. In Proceedings of the 1999 Congress on Evolutionary
Computation-CEC99, volume 1, pages 604–611, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ.
†CCA78295/99 ga99aTerashima-Marin.
[1539] H. Terashima-Marin, P. Ross, and M. Valenzuela-Rendon. Clique-based crossover for solving the
timetabling problem with GAs. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,
volume 2, pages 1200–1206, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78287/99
ga99bTerashima-Marin.
[1540] Michiel C. van Wezel and Joost N. Kok. Genetic improvement of railway timetables. In Davidor et al.
[1764], pages 566–575. * CCA 41872/95 ga9baWezel.
[1541] B. Paechter and A. Cumming. An evolutionary approach to the general timetable problem. In ?, editor, Proceedings of the 9th Romanian Symposium on Computer Science (ROSYCS’93), pages 418–421,
Iasi (Romania), 12.-13. November 1993. University of Ai. I. Cuza, Iasi (Romania). †CCA 87092/94
ga:Paechter93a.
[1542] Jarmo T. Alander. Kauppamatkustajan ongelma ja geneettiset algoritmit [Traveling salesman problem
and genetic algorithms]. Technical Report 1992/2, Helsinki University of Technology, Faculty of Machine
Engineering, Laboratory of Automobile Technology, 1992. (in Finnish) GA:AjoNavi92.
[1543] Stefan Boettcher and Allon Percus. Nature’s way of optimizing. Artificial Intelligence, 119(1-2):275–286,
May 2000. ga00aBoettcher.
[1544] Dan Bonachea, Eugene Ingerman, Joshua Levy, and Scott McPeak. An improved adaptive multi-start
approach to finding near-optimal solutions to the Euclidean TSP. pages 143–150, 2000. ga00aDBonachea.
[1545] Hirokazu Watabe and Tsukasa Kawaoka. Application of multi-step GA to the travelling salesman problem. In ?, editor, Fourth International Conference on Knowledge-Based Intelligent Engineering System & Allied Technologies, volume ?, pages 510–513, Brighton, UK, 30. August-1. September 2000. ?
ga00aHirokazuWatabe.
[1546] Hui-Dong Jin, Kwong-Sak Leung, and Man-Leung Wong. Designing an expanded SOM for the travelling
salesman problem by genetic algorithms. page 1079, 2000. ga00aHui-DongJin.
[1547] Natalio Krasnogor and Jim Smith. A memetic algorithm with self-adaptive local search: TSP as a case
study. In Darrell Whitley, David E. Goldberg, Erick Cant´
u-Paz, Lee Spector, Ian Parmee, and Hans-Georg
Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000),
volume ?, pages 987–994, Las Vegas, CA, 10.-12. July 2000. Morgan Kaufmann Publishers, San Francisco,
CA. ga00aKrasnogor.
[1548] Soonchul Jung and Byung-Ro Moon. The natural crossover for the 2D Euclidean TSP. pages 1003–1010,
2000. ga00aSJung.
[1549] David B. Fogel.
ga00eDBFogel.
What is evolutionary computation?
IEEE Spectrum, 37(2):26–32, February 2000.
[1550] Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Joshua Lapan, Andrew Lundgren, and Daniel Preda. A
quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem. Science,
292(5516):472–476, 20. April 2001. ga01aEFarhi.
[1551] Lixin Yang and Deborah A. Stacey. Solving the travelling salesman problem using the enhanced genetic
algorithm. In E. Stroulia and S. Matwin, editors, Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, volume LNAI of 2056,
pages 307–316, Ottawa (Canada), 7.-9. June 2001. Springer-Verlag Berlin Heidelberg. * www /Springer
ga01aLYang.
Bibliography
129
[1552] R. Baraglia, J. I. Hidalgo, and R. Perego. A hybrid heuristic for the travelling salesman problem. IEEE
Transactions on Evolutionary Computation, 5(6):613–622, December 2001. ga01aRBaraglia.
[1553] U. Boryczka. Co-operation through stigmergy in ant colony optimization for TSP. In Matouˇsek Radek
and Oˇsmera Pavel, editors, 7th International Conference on Soft Computing, Mendel 2001, pages 191–196,
Brno, Czech Republic, 6.- 8.June 2001. Brno University of Technology. ga01aUBoryczka.
[1554] Andoo Aamu and Hitoshi Iba. From genetic algorithms to artificial life. Computer Today, 107(1):60–68,
March 2002. (in Japanese) ga02aAndooAamu.
[1555] Cgeng-Cheng Yeh. Using Adaptive Genetic Algorithm to the Clustering Problem. PhD thesis, University
in Taiwan, 2002. * Google ga02aCgeng-ChengYeh ⇒ http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.
cgi/ccd=unDPW2/record?r1=74&h1=5.
[1556] Hans-Georg Beyer and Hans-Paul Schwefel. Evolution strategies. Natural Computing, 1(?):3–52, ? 2002.
ga02aHans-GeorgBeyer.
[1557] J. C. Chen and T. X. Zhong. A hybrid-coded genetic algorithm based optimisation of non-productive
paths in CNC machining. International Journal of Advanced Manufacturing Technology, 20(?):163–168, ?
2002. ga02aJCChen.
[1558] Natalio Krasnogor. Studies on the Theory and Design Space of Memetic Algorithms. PhD thesis, University
of the West of England, Faculty of Computing, Engineering and Mathematical Sciences, 2002. * GAdigest
V. 16 N. 21 ga02aNKrasnogor.
[1559] S. Mesmoudi and M. Maouene. Genetic methods for traveller salesman problem. pages 278–283, 2002.
ga02aSMesmoudi.
[1560] Soonchul Jung and Byung-Ro Moon. Toward minimal restriction of genetic encoding and crossovers for
the two-dimensional Euclidean TSP. IEEE Transactions on Evolutionary Computation, 6(6):557–565,
December 2002. * www /IEEE ga02aSoonchulJung.
[1561] Xiaoming Dai, Runmin Zou, Rong Sun, Rui Feng, and Shao Huihe. Convergence properties of noncrossover genetic algorithm. In Intelligent Control and Automation, 2002, Proceedings of the International
Conference, volume 3, pages 1822–1826, ?, 10.-14. June 2002. IEEE, Piscataway, NJ. * www /IEEE
ga02aXiaomingDai.
[1562] Abhishek Sinha and David Goldberg. A survey of hybrid genetic and evolutionary algorithms. IlliGAL
Report 2003004, University of Illinois at Urbana-Champaign, Department of General Engineering, 2003.
ga03aAbhishekSinha ⇒ http://illigal.org/pub/papers/IlliGALs/2003004.ps.Z.
[1563] Cheng Chen Ho. Using Evolutionary Computation to Solve the Multiple Protein Sequence Alignment. PhD
thesis, University in Taiwan, 2003. * Google ga03aChengChenHo ⇒ http://ndltd.ncl.edu.tw/cgi-bin/
gs32/gsweb.cgi/ccd=unDPW2/record?r1=71&h1=5.
[1564] David S. Johnson and Lyle A. McGeoh. 8. the traveling salesman problem: a case study. In Emile
H. L. Aarts and Jan Karel Lenstra, editors, Local Search in Combinatorial Optimization, pages 215–310.
Princeton University Press, Princeton, NJ, 2003. (new edition of [?]) †TKKpaa ga03aDavidSJohnson.
[1565] Klaus Weinert and Marc Stautner. Generating multiaxis tool paths for die and mold making with evolutionary algorithms. In Kalyanmoy Deb et al, editor, Genetic and Evolutionary Computation - GECCO
2004, volume 3103 of Lecture Notes in Computer Science, pages 1287–1298, Seattle, WA, 26.-30. June
2004. Springer-Verlag, Berlin. ga04aKlausWeinert.
[1566] K. Davoian and S. Gorlatch. A modified genetic algorithm for the traveling salesman problem and its
parallelization. In M. H. Mamza, editor, Artificial Intelligence and Applications AIA2005, pages 453–116,
Innsbruck (Austria), 14.-16. February 2005. ACTA Press. †ACTA Press ga05aKDavoian.
[1567] L. Wang, A. A. Maciejewski, H. J. Siegel, V. P. Roychowdhury, and B. D. Eldridge. A study of five parallel
approaches to a genetic algorithm for the traveling salesman problem. Intelligent Automation and Soft
Computing, 11(4):217–234, ? 2005. †www /ISI ga05aLWang ⇒ http://www.engr.colostate.edu/~hj/
journals/80.pdf.
[1568] M. A. Vega-Rodriguez, R. Gutierrez-Gil, J. M. Avila-Roman, J. M. Sanchez-Perez, and J. A. GomezPulido. Genetic algorithms using parallelism and FPGAs: the TSP as case study. In Proceedings of the
International Conference Workshops on Parallel Processing, ICPP 2005, pages 573–579, ?, 14.-17. June
2005. IEEE, Piscataway, NJ. ga05aMAVega-Rodriguez ⇒ http://ieeexplore.ieee.org/xpls/abs_all.
jsp?arnumber=1488745&tag=1.
[1569] Stefan Wagner and Michael Affenzeller. SexualGA: gender-specific selection for genetic algorithms. In ?,
editor, Proceedings of the 9th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI), volume 4, pages 76–81, ?, ? 2005. ? ga05aSWagner.
130
Genetic algorithms in operations research
[1570] K. Davoian. Search space extension and PGAs: A comparative study of parallelization schemes to genetic
algorithms using the TSP. In V. Devedˇzic, editor, Artificial Intelligence and Applications AIA2006, pages
502–161, Innsbruck (Austria), 13.-16. February 2006. ACTA Press. †ACTA Press ga06aKDavoian.
[1571] Gang Zhao, Wenjuan Luo, Huiping Nie, and Chen Li. A genetic algorithm balancing exploration and
exploitation fot the travelling salesman problem. In Proceedings of the Fourth International Conference on Natural Computation (ICNC’08), volume 1, pages 505–509, ?, ? 2008. IEEE, Piscataway, NJ.
ga08aGangZhao.
[1572] Javad Jafarian. An experiment to study wandering salesman applicability on solving the travelling salesman
problem based on genetic algorithm. In Proceedings of the 20010 International Conference on Educational
and Information Technology (ICEIT), volume 1, pages V1–183–V1–189, ?, ? 2010. IEEE, Piscataway, NJ.
ga10aJJafarian ⇒ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5607762.
[1573] Pedro V. Santos and Jos´e C. Alves. FPGA based engines for genetic and memetic algorithms. In Proceedings
of the 2010 International Conference on Field Programmable Logic and Applications (FPL), pages 251–
254, Milano (Italy), 31. August- 2. September 2010. IEEE, Piscataway, NJ. ga10aPVSantos ⇒ http:
//ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5694257.
[1574] Sheng Li, Huiqin Chen, and Zheng Tang. Study of pseudo-parallel genetic algorithm with ant colony
optimization to solve the TSP. IJCSNS International Journal of Computer Science and Network Security,
11(3):73–79, March 2011. ga11aShengLi ⇒ http://paper.ijcsns.org/07_book/201103/20110312.pdf.
[1575] Yan cong Zhou, Jun hua Gu, Yong feng Dong, and Huan ping Han. Implementation of genetic algorithm
for TSP based on FPGA. In Proceedings of the 2011 Chinese Control and Decision Conference (CCDC),
pages 2226–2231, Mianyang (China), 23.-25. May 2011. IEEE, Piscataway, NJ. ga11aYan-congZhou ⇒
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5968577&tag=1.
[1576] Pedro Vieir dos Santos, J. C. Alves, and J. C. Ferreira. A scalable array for cellular genetic algorithms:
TSP as case study. In Reconfigurable Computing and FPGAs (ReconFig), 2012 International Conference
on, pages 1–6, ?, 5-7 Dec 2012. IEEE. †ISI/auto ga12aPedroVieirdosSantos ⇒ .
[1577] E. Osaba, E. Carballedo, F. Diaz, E. Onieva, P. Lopez, and A. Perallos. On the influence of using
initialization functions on genetic algorithms solving combinatorial optimization problems: a first study
on the TSP. In Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Systems, pages –, ?,
? 2014. IEEE, Piscataway, NJ. ga14aEOsaba ⇒ http://paginaspersonales.deusto.es/e.osaba/pdf/
Osaba_EAIS_2014.pdf.
[1578] S. Amin, J.-L. Fernandez-Villanacas, and P. Cochrane. A natural solution to the traveling salesman problem. Br. Telecommun. Eng. (UK), 13(2):117–122, July 1994. †EEA 79643/94 CCA 75496/94 ga94aAmin.
[1579] Thang Nguyen Bui and Byung Ro Moon. A new genetic approach for the traveling salesman problem. In
ICEC’94 [1770], pages 7–12. ga94aBui.
[1580] Arthur Leo Corcoran, III. Techniques for reducing the disruption of superior building blocks in genetic
algorithms. PhD thesis, The University of Tulsa, 1994. * DAI Vol. 55 No. 4 ga94aCorcoran.
[1581] J. Dzubera and Darrell Whitley. Advanced correlation analysis of operators for the traveling salesman
problem. In Davidor et al. [1764], page ? †conf. prog. ga94aDzubera.
[1582] K. S. Leung and A. Y. C. Tang. A modified edge recombination operator for the travelling salesman
problem. In Davidor et al. [1764], pages 180–188. †conf. prog. ga94aKSLeung.
[1583] Antoon Kolen and Erwin Pesch. Genetic local search in combinatorial optimization. Discrete Applied
Mathematics, 48(3):273–284, 15. February 1994. * EEA 33495/94 ga94aKolen.
[1584] Lawrence John Schmitt, II. An empirical computational study of genetic algorithms to solve order based
problems: An emphasis on TSP and VRPTC. PhD thesis, The University of Memphis, 1994. * DAI Vol
56 No 3 ga94aLJSchmitt.
[1585] Wei Lin, Jose G. Delgado-Frias, and Donald C. Gause. Solving the traveling salesman problem using
a hybrid genetic algorithm approach. In Proceedings of the Artificial Neural Networks in Engineering
Conference, volume 4, pages 1069–1074, St. Louis, MO, 13.-16. November 1994. ASME, New York. †CCA
61771/96 EI M057085/95 ga94aLin.
[1586] Byung-Ro Moon. Hybrid genetic algorithms with hyperplane synthesis: A theoretical and empirical study.
PhD thesis, The Pennsylvania State University, 1994. * DAI Vol 56 No 2 ga94aMoon.
[1587] Runwei Cheng and Mitsuo Gen. Crossover on intensive search and traveling salesman problem. Computers
& Industrial Engineering, 27(1-4):485–488, September 1994. (Proceedings of the 16th Annual Conference
on Computers and Industrial Engineering, Ashigaga (Japan), 7.-9. Mar.) * CCA 11849/95 EI M083564/95
ga94aRCheng.
Bibliography
131
[1588] Hisashi Tamaki, Hajime Kita, Nobuhiko Shimizu, Keiji Maekawa, and Yoshikazu Nishikawa. A comparison
study of genetic codings for the traveling salesman problem. In ICEC’94 [1770], pages 1–6. ga94aTamaki.
[1589] David M. Tate, C. Tunasar, and Alice E. Smith. Genetically improved presequences for Euclidean traveling
salesman problems. Mathematical and Computer Modelling, 20(2):135–143, July 1994. * CCA 66872/94
ga94aTate.
[1590] B. C. H. Turton. Optimization of genetic algorithms using the Taguchi method. J. Syst. Eng. (UK),
4(3):121–130, ? 1994. * EEA 223/95 ga94aTurton.
[1591] Y. Yukiko and A. Nobue. A diploid genetic algorithm for preserving population – pseudo-meiosis GA. In
Davidor et al. [1764], pages 36–45. * CCA 36479/95 ga94aYukiko.
[1592] G. Wade and A. Roberts. Ordering of cascade FIR filter structures. Electronics Letters, 30(17):1393–1394,
18. September 1994. * EI M003834/95 ga94bWade.
[1593] Harpal Singh Maini. Incorporation of knowledge in genetic recombination. PhD thesis, Syracuse University,
1994. * DAI Vol 56 No 3 ga94dMaini.
[1594] Christophe Caux, Henri Pierreval, and Marie-Claude Portmann. Les algorithmes g´en´etiques et leur application aux probl`emes d’ordonnancement [Genetic algorithms and scheduling problems]. Autom. Prod.
Inform. Ind. (France), 29(4-5):409–443, ? 1995. †Bounsaythip CCA 88194/95 ga95aCaux.
[1595] Arthur L. Corcoran and Roger L. Wainwright. Practical handbook of genetic algorithms. In Chambers [1759], chapter 6. Using LibGA to develop genetic algorithms for solving combinatorial optimization
problems, pages 143–172. ga95aCorcoran.
[1596] Carlos Cotta Porras, Jos´e Francisco Aldana Montes, Antonio Nebro, and J. M. Troya. Hybridizing genetic
algorithms with branch and bound techniques for the resolution of the TSP. In Pearson et al. [1753], pages
277–280. ga95aCotta.
[1597] Tanja Dabs and Jochen Schoof. A graphical user interface for genetic algorithms. Report 98, Universit¨
at
W¨
urzburg, Institut f¨
ur Informatik, 1995. ga95aDabs.
[1598] Graeme Faulkner and Habib Talhami. Using “biological” genetic algorithms to solve the travelling salesman problem with applications in medical image processing. In ICEC’95 [1785], pages 707–712. †prog.
ga95aFaulkner.
[1599] J. Balakrishnan and P. D. Jog. Manufacturing cell formation using similarity coefficients and a parallel
genetic TSP algorithm: Formulation and comparison. Math. Comput. Modelling, 21(12):61–73, 1995.
†[473] CCA66272/95 ga95aJBalakrishnan.
[1600] Ju Ye, Masahiro Tanaka, and Tetsuzo Tanino. Genetic algorithm with evolutionary chain-based mutation
and its applications. Memoirs of the Faculty of Engineering, Okayama University, 30(1):111–120, December
1995. ga95aJuYe.
[1601] Lawrence J. Schmitt and Mohammed M. Amini. Genetic algorithmic approaches to the traveling salesman problem: Design and configuration issues. Working Paper ITMGA01.002/95, Christian Brothers
University, Memphis, TN, 1995. †[471] ga95aLJSchmitt.
[1602] Anselmo A Montenegro, Elisangela M. Santos, Lucia M.A. Drummond, and Luiz S. Ochi. Um algoritmo
paralelo distribuido para o travelling purchaser problem [A parallel distributed algorithm for the traveling
salesman problem]. In ?, editor, Proceedings of the Second Brazilian Symposium on Neural Networks,
page ?, Sao Carlos, SP - Brazil, 18.-20. October 1995. The Brazilian Computer Science Society. (in
Portuguese) †conf. prog. ga95aMontenegro.
[1603] Paul S. Graham and Brent Nelson. A hardware genetic algorithm for the traveling salesman problem
on Splash 2. In ?, editor, Proceedings of the 5th International Workshop on Field-Programmable Logic
and Applications, volume LNCS-975 of Lecture Notes on Computer Science, pages 352–361, Oxford, UK,
29. August-1. September 1995. Springer-Verlag, Berlin. ga95aPGraham ⇒ http://www.springerlink.com/
content/p4n0414086l2591m/.
[1604] Hidenori Sakanashi, Keiji Suzuki, and Yukinori Kakazu. Filtering-GA: the evolutionary TSP landscape
modifier. In ICEC’95 [1785], pages 390–395. †prog. ga95aSakanashi.
[1605] Sanjeev Singh. An empirical comparison of 3 population-based search algorithms for the traveling salesman
problem. In Koza [1796], page ? †Koza ga95aSingh.
[1606] Christina L. Valenzuela and Antonia J. Jones. A parallel implementation of evolutionary divide and
conquer for the TSP. In IEE/IEEE Sheffield ’95 [1767], pages 499–504. †conf.prog ga95aValenzuela.
132
Genetic algorithms in operations research
[1607] Wei Lin. High quality tour hybrid genetic schemes for TSP optimization problems. PhD thesis, State
University of New York at Binghamton, 1995. * DAI Vol 56 No 9 ga95aWLin.
[1608] Wei Lin, Jose G. Delgado-Frias, and Donald C. Gause. Hybrid Newton-Raphson genetic algorithm
for the traveling salesman problem. Cybernetics and Systems, 26(4):387–412, July-August 1995. †ISI
ga95aWeiLin.
[1609] Horoshi Yokoi, Yukinori Kakazu, Takafumi Mizuno, and Masatoshi Takita. Euclidean TSP using characteristics of slimemold. In ICEC’95 [1785], pages 689–694. †prog. ga95aYokoi.
[1610] Jorng-Tzong Horng, Cheng-Yan Kao, and Gwo-Dong Chen. Error-tolerance genetic algorithm for traveling
salesman problems. In Proceedings of the 1995 IEEE International Conference on Systems, Man and
Cybernetics, volume 1, pages 795–799, Vancouver, BC (Canada), 22.-25. October 1995. IEEE, Piscataway,
NJ. †EI M035881/95 ga95bHorng.
[1611] Bryant A. Julstrom. Very greedy crossover in a genetic algorithm for the traveling salesman problem. In
K. M. George, Janice H. Carroll, Ed Deaton, Dave Oppenheim, and Jim Hightower, editors, Proceedings
of the 10th ACM Symposium on Applied Computing, pages 324–328, ?, ? 1995. ACM Press, New York.
ga95bJulstrom.
[1612] Kang-Ku Lee, Seung-Kee Han, and Seong-Whan Lee. A genetic algorithm for the traveling salesman
problem. J. Korea Inf. Sci. Soc. (South Korea), 22(4):559–566, 1995. †CCA51577/95 ga95bK-KLee.
[1613] Pavel Oˇsmera. Hybrid and distributed genetic algorithms for travelling salesman problem in LAN. In
Proceedings of the MENDEL’95 [1797], pages 105–108. ga95bOsmera.
[1614] Chin-Chih Hsu, Juan Martin, Shin ichi Yamada, Hideji Fujikawa, and Koichiro Shida. Effectiveness
analysis of genetic operators for TSP. In Proceedings of the 1995 IEEE International Symposium on
Industrial Electronics, volume 2, pages 766–770, Athens (Greece), 10.-14. July 1995. IEEE, Piscataway,
NJ. * EI M093960/95 ga95dC-CHsu.
´
[1615] Agoston
Eiben, Paul-Erik Rau´e, and Zs´
ofia Ruttkay. Practical handbook of genetic algorithms. In
Chambers [1759], chapter 10. How to apply genetic algorithms to constrained problems, pages 307–365.
ga95dEiben.
[1616] Ajit Narayanan and Mark Moore. Quantum-inspired genetic algorithms. In Proceedings of IEEE International Conference on Evolutionary Computation, 1996, pages 61–66, ?, ? 1996. IEEE, Piscataway, NJ.
ga96aANarayanan.
[1617] Jean-Yves Carrier, John Litva, Henry Leung, and Titus Lo. Genetic algorithm for multiple target tracking
data association. In Michael K. Masten and Larry A. Stockum, editors, Acquisition, Tracking, and Pointing
X, volume SPIE-2739, pages 180–190, Orlando, FL, 10.-11. April 1996. The International Society for
Optical Engineering, Bellingham, WA. †A96-35348 SPIE/Boston P68447/96 ga96aCarrier.
[1618] Bernd Freisleben and Peter Merz. New genetic local search operators for the traveling salesman problem.
In Voigt et al. [1768], pages 890–899. ga96aFreisleben.
[1619] Jean-Yves Potvin. Genetic algorithms for the traveling salesman problem. Ann. Oper. Res. (Netherlands),
63:339–370, 1996. †CCA70141/96 ga96aJ-YPotvin.
[1620] Ju Ye, Masahiro Tanaka, and Tetsuzo Tanino. Eugenics-based genetic algorithm. IEICE Transactions on
Information and Systems, E79-D(5):600–607, May 1996. ga96aJuYe.
[1621] Bryant A. Julstrom. A simple estimate of population size in genetic algorithms for the traveling salesman
problem. In Alander [1772], pages 3–14. (ftp://ftp.uwasa.fics/2NWGA/Julstrom1.ps.Z) ga96aJulstrom.
[1622] Naoyuki Kubota, Koji Shimojima, and Toshio Fukuda. Virus-evolutionary genetic algorithm – ecological
model on planar grid. In Proceedings of the 1996 Biennial Conference of the North American Fuzzy
Information Processing Society (NAFIPS), pages 505–509, Berkeley, CA, 19.-22. June 1996. IEEE, New
York, NY. * EEA 92512/96 ga96aKubota.
[1623] V. Kureichick, A. N. Melikhov, V. V. Miagkikh, O. V. Savelev, and A. P. Topchy. Some new features in
genetic solution of the travelling salesman problem. In Ian Parmee and M. J. Denham, editors, Adaptive
Computing in Engineering Design and Control ’96 (ACEDC’96), 2nd International Conference of the Integration of Genetic Algorithms and Neural Network Computing and Related Adaptive Techniques with Current Engineering Practice, page ?, Plymouth (UK), 26.-28. March 1996. ? †conf.prog ga96aKureichick.
[1624] Pedro Larra˜
naga, Cindy M. H. Kuijpers, Roberto H. Murga, and Yosu Yurramendi. Learning Bayesian
network structures by searching for best ordering with genetic algorithm. IEEE Transactions on Systems,
Man, and Cybernetics, 26(4):487–493, July 1996. ga96aLarranaga.
Bibliography
133
[1625] Viktor Nˇemec and Josef Schwarz. Parallel genetic algorithms implemented on transputers. In Oˇsmera
[1787], pages 85–90. ga96aNemec.
[1626] Jean-Yves Potvin and Fran¸cois Guertin. The clustered traveling salesman problem: A genetic approach. In
Ibrahim H. Osman and James P. Kelly, editors, Meta-heuristics: Theory and Applications, pages 619–632,
Breckenridge, CO, 22.-26. July 1996. Kluwer Academic Publishers, Norwell, MA. †TKKpaa ga96aPotvin.
[1627] Patrick D. Surry and Nicholas J. Radcliffe. Inoculation to initialise evolutionary search. In Fogarty? [1769],
pages 260–276. ga96aSurry.
[1628] Huang Zhangcan and Lu Kuang. A hybrid algorithm for TSP. Wuhan Univ. J. Nat. Sci. (China), 1(34):461–464, 1996. †EEA34018/98 ga96aZhangcan.
[1629] D. Gusfield, R. Karp, Lusheng Wang, and P. Stelling. Graph traversals, genes, and matroids: an efficient
case of the travelling salesman problem. In Proceedings of the 7th Annual Symposium, Combinatorial
Pattern Matching, pages 304–319, Laguna Beach, CA, USA, 10.-12. June 1996. Springer-Verlag, Berlin
(Germany). †CCA 84150/96 ga96bGusfield.
[1630] Paul S. Graham. A description, analysis, and comparison of a hardware and software implementation of
the SPLASH genetic algorithm for optimizing symmetric traveling salesman problems. Master’s thesis,
Brigham Young University, Electrical and Computer Engineering Department, 1996. (http://splish.ee.
byu.edu/docs/papers1.html) ga96bPGraham.
[1631] Jean-Yves Potvin. Genetic algorithms for the traveling salesman problem. Ann. Oper. Res. (Netherlands),
63:339–370, 1996. †CCA70141/96 ga96fJ-YPotvin.
[1632] R. Bradwell, L. P. Williams, and C. L. Valenzuela. Breeding perturbed city coordinates and fooling
travelling salesman heuristic algorithms. In George D. Smith and Nigel C. Steele, editors, Proceedings
of the International Conference on Artificial Neural Networks and Genetic Algorithms, pages 241–244,
Norwich, UK, 2.-4. April 1997. Springer-Verlag, Berlin. ga97aBradwell.
[1633] Chen Xianfu, Zhuang Zhenquan, and Wang Xufa. Adaptive evolution strategies of genetic algorithms and
genetic optimization of the traveling salesman problem. Acta Electronica Sinica (China), 25(7):111–114,
1997. In Chinese †CCA79968/97 ga97aCXianfu.
[1634] I. Chellapilla and David B. Fogel. Exploring self-adaptive methods to improve the efficiency of generating
approximate solutions to traveling salesman problems using evolutionary computing. In Proceedings of the
6th International Conference, pages 361–371, Indianapolis, IN, 13.-16. April 1997. Springer-Verlag, Berlin
(Germany). †CCA70337/97 ga97aChellapi.
[1635] Marco Dorigo and Luca M. Gambardella. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation, 1(1):53–66, 1997. †CCA61584/97
ga97aDorigo.
[1636] G. Laporte, Jean-Yves Potvin, and F. Quilleret. A tabu search heuristics using genetic diversification
for the clustered traveling salesman problem. Journal of Heuristics, 2(?):187–200, ? 1997. †David E.
Clark/bib ga97aGLaporte.
[1637] Martina Gorges-Schleuter. Asparagos96 and the traveling salesman problem. In Proceedings of 1997 IEEE
International Conference on Evolutionary Computation, pages 171–174, Indianapolis, IN, 13.-16. April
1997. IEEE, New York, NY. †CCA44457/97 ga97aGorges-Schleuter.
[1638] H. T. N¨
urnberg and Hans-Georg Beyer. The dynamics of evolution strategies in the optimization of traveling salesman problems. In Proceedings of the 6th International Conference on Evolutionary Programming,
pages 349–359, Indianapolis, IN, 13.-16. April 1997. IEEE. ga97aH-TNurnberg.
[1639] Bryant A. Julstrom. Strings of weights as chromosomes in genetic algorithms for combinatorial problems.
In Alander [1760], pages 33–48. (ftp://ftp.uwasa.fics/3NWGA/Julstrom.ps.Z) ga97aJulstrom.
[1640] K. H. Qin and W. P. Wang. A genetic algorithm for the TSP. In Proceedings of the Fifth International Conference on Computer-Aided Design & Computer Graphics, volume 1-2, pages 354–357, Shenzhen (China),
2.-5. December 1997. Int. Academic Publ. (Beijing). †P78964 ga97aKHQin.
[1641] K. Maekawa, N. Mori, H. Tamaki, H. Kita, and Y Nishikawa. A genetic solution for the travelling
salesman problem by means of a thermodynamical selection rule. Trans. Soc. Instrum. Control Eng.
(Japan), 33(9):939–946, 1997. In Japanese †CCA18855/98 ga97aKMaekawa.
[1642] M. Arita, A. Suyama, and M. Hagiya. A heuristic approach for Hamiltonian path problem with molecules.
In Proceedings of the Second Annual Conference, pages 457–462, Stanford, CA, 13.-16. July 1997. Morgan
Kaufmann Publishers, San Francisco, CA (USA). †CCA65888/98 ga97aMArita.
134
Genetic algorithms in operations research
[1643] Mika Johnsson, G´
abor Magyar, and Olli Nevalainen. On the 3-matching problem. Technical Report 112,
University of Turku, TUCS, 1997. † ga97aMJohnsson.
[1644] H. T. Nurnberg and Hans-Georg Beyer. The dynamics of evolution strategies in the optimization of traveling salesman problems. In Proceedings of the 6th International Conference, Evolutionary Programming,
pages 349–359, Indianapolis, IN, 13.-16. April 1997. Springer-Verlag, Berlin (Germany). †CCA71290/97
ga97aNurnberg.
[1645] Pavel Oˇsmera. The initial population of genetic algorithms for traveling salesman problem. In Proceedings
of the 3rd International Mendel Conference on Genetic Algorithms, Optimization problems, Fuzzy Logic,
Neural networks, Rough Sets (MENDEL’97) [1799], pages 105–110. ga97aOsmera.
[1646] Peter Merz and Bernd Freisleben. Genetic local search for the TSP: new results. In Proceedings of
1997 IEEE International Conference on Evolutionary Computation, pages 159–164, Indianapolis, IN, 13.16. April 1997. IEEE, New York, NY. †CCA44455/97 ga97aPMerz.
[1647] Pavel Oˇsmera. Heuristic methods for initialization of genetic algorithms for traveling salesman problem. In
B. Katalinic, editor, Proceedings of the 8th International DAAAM Symposium, pages 245–246, Dubrovnik,
Croatia, 23.-25. October 1997. DAAAM International, Vienna, TU Wien. ga97aPOsmera.
[1648] T. Stutzle and H. Hoos. MAX-MIN ant system and local search for the traveling salesman problem. In
Proceedings of 1997 IEEE International Conference on Evolutionary Computation, pages 309–314, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA44460/97 ga97aStutzle.
[1649] Pierre A. I. Wijkman. Solving the TSP problem with a new model in evolutionary computation. In ?,
editor, Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems:Innovations and Applications, pages 145–150, Glasgow (UK), 2.-4. September 1997. IEE, London. *
CCA 5116/98 ga97aWijkman.
[1650] A. Frick. TSPGA-an evolution program for the symmetric traveling salesman problem. In Proceedings of
the 6th European Congress on Intelligent Techniques and Soft Computing, volume 1, pages 513–517, Aachen
(Germany), 7.-10. September 1998. Verlag Mainz, Aachen (Germany). †CCA69156/99 ga98aAFrick.
[1651] C. H. Yang. Comparison of genetic search and tabu search for the time-constrained travelling salesman
problem. Electron. Eng. Aust. (Australia), 18(1):55–59, 1998. †CCA85367/98 ga98aCHYang.
[1652] Chien-Ying Lu and Wei Lin. A clustering and genetic scheme for large TSP optimization problems.
Cybernetics and Systems, 29(2):137–157, 1998. †CCA43616/98 ga98aChien-Lu.
[1653] Dimitri P. Bertsekas. chapter 10.4.1 Genetic algorithms, pages 514–516. Athena Scientific, Belmont, MA,
1998. †TKKpaa ga98aDPBertsekas.
[1654] Juha Haataja, editor. N¨
ak¨
okulmia laskennalliseen tieteeseen – Alkur¨
aj¨
ahdyksest¨
a k¨
annykk¨
a¨
an [Views to
Computational Science – From Big Bang to Mobile Phones]. CSC – Tieteellinen laskenta Oy, Espoo
(Finland), 1998. (in Finnish) ga98aHaataja.
[1655] J. Aizawa, Chin-Chih Hsu, S. Yamada, H. Fujikawa, and K. Shida. An effectiveness analysis of genetic operators for TSP. In Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing,
volume 1, pages 465–469, Aachen (Germany), 7.-10. September 1998. Verlag-Mainz, Aachen (Germany).
†CCA68211/99 ga98aJAizawa.
[1656] James P. Cohoon, John E. Karro, Worthy N. Martin, William D. Niebel, and Klaus Nagel. Perturbation
method for probabilistic search for the travelling salesman problem. In Bruno Bosacchi, David B. Fogel, and
James C. Bezdek, editors, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary
Computation, volume SPIE-3455, pages 118–127, ?, October 1998. The International Society for Optical
Engineering. * www/SPIE Web ga98aJPCohoon.
[1657] K. Tagawa, Y. Kanzaki, D. Okada, K. Inoue, and H. Haneda. A new metric function and harmonic
crossover for symmetric and asymmetric traveling salesman problems. In Proceedings of the 1998 IEEE
International Conference on Evolutionary Computation, pages 822–827, Anchorage, AK, 4.-9. May 1998.
IEEE, New York, NY. †CCA74652/98 ga98aKTagawa.
[1658] Kengo Katayama and Hiroyuki Narihisa. A fast algorithm to enumerate all common subtours in complete
subtour exchange crossover and the behavior property. Transactions of the Institute of Electronics, Information, and Communication Engineers D-I, J81D-I(2):213–218, 1998. (In Japanese) †CCA35029/98
ga98aKengoKatayama.
[1659] Kyung-Mi Lee and Keon-Myung Lee. A genetic algorithm for traveling salesman problem with prededence constraints. J. KISS(A), Comput. Syst. Theory (South Korea), 25(4):362–368, 1998. In Korean
†CCA56836/98 ga98aKyungLee.
Bibliography
135
[1660] Lee Wang, Anthony A. Maciejewski, Howard Jay Siegel, and Vwani P. Roychowdhury. A comparative
study of five parallel genetic algorithms using the traveling salesman problem. In Proceedings of the
First Merged International Parallel and Distributed Processing Conference: 12th International Parallel
processing Symposium and 9th Symposium on Parallel and Distributed Processing, pages 345–349, Orlando,
FL, 30.March- 3. April 1998. IEEE Computer Society Press, Los Alamitos , CA. ga98aLeeWang.
[1661] Tim Walters. Repair and brood selection in the travelling salesman problem. In Agoston E. Eiben, Thomas
B¨
ack, Marc Schoenauer, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature - PPSN
V, 5th International Conference, volume LNCS of 1498, Amsterdam (The Netherlands), September 1998.
Springer-Verlag Berlin Heidelberg. * www /Springer ga98aTWalter.
[1662] Y. Tsujimura and Mitsuo Gen. Entropy-based genetic algorithm for solving tsp. In Proceedings of the
1998 Second International Conference on Knowledge-Based Intelligent Electronic Systems, volume 2, pages
285–291, Adelaide, SA (Australia), 21.-23. April 1998. IEEE, New York, NY. †P82254 ga98aTsujimura.
[1663] Marco Dorigo, Gianni Di Caro, and Luca M. Gambardella. Ant algorithms for disrete optimization.
Techinical Report IRIDIA/98-10, Universit´e de Bruxelles, 1998. (also as [1667]) ga98bDorigo.
[1664] N. Kubota and Toshio Fukuda. Genetic algorithm based on virus theory of evolution for travelling salesman
problem. Trans. Soc. Instrum. Control Eng. (Japan), 34(5):408–414, 1998. In Japanese †CCA65872/98
ga98bNKubota.
[1665] Brian J. Ross. Practical handbook of genetic algorithms. In Chambers [1761], chapter 1. A Lamarckian
evolution strategy for genetic algorithms, pages 1–16. ga99aBJRoss.
[1666] Octav Brudaru and Adrian Vilcu. Genetic algorithm for a transportation problem with variable charge
along Hamiltonian circuits. In B. Katalinic, editor, Proceedings of the 10th International DAAAM Symposium: Intelligent Manufacturing & Automation: Past - Present - Future, pages 63–64, Vienna (Austria),
21.-23. October 1999. DAAAM International Vienna. ga99aBrudaru.
[1667] Marco Dorigo, Gianni Di Caro, and Luca M. Gambardella. Ant algorithms for disrete optimization.
Artificial Life, 5(3):137–172, ? 1999. †[1663] ga99aDorigo.
[1668] G. Sena, G. Isern, and D. Megherbi. Implementation of a parallel genetic algorithm on a cluster of
work-stations: The travelling salesman problem, a case study. In Proceedings of the 11th IPPS/SPDP’99
Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing, pages 266–274, San Juan, Puerto Rico, 12.-16. April 1999.
Springer-Verlag, Berlin (Germany). †CCA91171/99 ga99aGSena.
[1669] J. Houdayer and O. C. Martin. Ising spin glasses in a magnetic field. Physical Review Letters, 82(24):4934–
4937, 14. June 1999. ga99aHoudayer.
[1670] Kengo Katayama and Hiroyuki Narihisa. A new iterated local search algorithm using genetic crossover
for the traveling salesman problem. In Proceedings of the 1999 ACM Symposium on Applied Computing,
pages 302–306, San Antonio, TX, ? 1999. ACM, New York. ga99aKengoKatayama.
[1671] Leonard J. Testa, Albert C. Esterline, and Gerry V. Dozier. Evolving efficient theme park tours. J.
Comput. Inf. Technol. CIT (Croatia), 7(1):77–92, 1999. †CCA69608/99 ga99aLJTesta.
[1672] P. Larra˜
naga, C. M. H. Kuijpers, R. H. Murga, I. Inza, and S. Dizdarevic. Genetic algorithms for the
travelling salesman problem: A review of representations and operators. Artificial Intelligence Review,
13(2):129–170, April 1999. ga99aLarranaga.
[1673] Liangsheng Qu and Ruixiang Sun. A synergetic approach to genetic algorithms for solving traveling
salesman problem. Information Sciences, 117(3-4):267–283, August 1999. ga99aLiangshengQu.
[1674] Mika Johnson. Operational and Tactical level Optimization in Printed Circuit Board Assembly. PhD thesis,
University of Turku, Turku Centre for Computer Science, 1999. ga99aMJohnson.
[1675] Malay K. Kundu and Nikhil R. Pal. Self-crossover and its application to the traveling salesman problem.
In Ibrahim Imam, Yves Kodratoff, Ayman El-Dessouki, and Moonis Ali, editors, Multiple Approaches to
Intelligent Systems, 12th International Conference on Industrial and Engineering Applications of Artificial
Intelligence and Expert Systems (IEA/AIE-99), volume 1611, pages 326–332, Cairo (Egypt), May/June
1999. Springer-Verlag, Berlin. ga99aMKKundu.
[1676] P. W. Polo Vieyra and Luiz S. Ochi. A hybrid metaheuristic using genetic algorithm and ant colony systems
for the clustered traveling salesman problem. In Proceedings of the Third Metaheuristics International
Conference, pages 365–369, Rio de Janeiro (Brazil), 19.-23. July 1999. Gatholic University of Rio de
Janeiro, Brazil. ga99aPWVieyra.
136
Genetic algorithms in operations research
[1677] Soo-Yong Shin, Byoung-Tak Zhang, and Sung-Soo Jun. Solving traveling salesman problems using molecular programming. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2,
pages 994–1000, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA80722/99 ga99aSoo-Shin.
[1678] Zhenya He, Chengjian Wei, Bingyao Jin, Wenjiang Pei, and Luxi Yang. A new population-based incremental learning method for the traveling salesman problem. In Proceedings of the 1999 Congress on
Evolutionary Computations-CEC99, volume 2, pages 1152–1156, Washington, DC, 6.-9. July 1999. IEEE,
Piscataway, NJ. †CCA77177/99 ga99aZhenyaHe.
[1679] Eckart Zitzler. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD
thesis, Eidgen¨
ossische Technische Hochschule Z¨
urich, Institut f¨
ur Technische Informatik und Kommunikationsnetze, 1999. http://www.tik.ee.ethz.ch/~\zitzler/#publications ga99aZitzler.
[1680] G. Sena, G. Isern, and D. Megherbi. A parallel and distributed genetic algorithm for the traveling salesman
problem. In Proceedings of the High Performance Computing Symposium, pages 319–324, San Diego, CA,
11.-15. April 1999. Soc. Computer Simulation. †P85302 ga99bGSena.
[1681] J. Houdayer and O. C. Martin. Renormalization for discrete optimization. Physical Review Letters,
83(5):1030–1033, 2. August 1999. ga99bHoudayer.
[1682] Balamurali Krishna Ambati, Jayakrishna Ambati, and Mazen Moein Mokhtar. Heuristic combinatorial
optimization by simulated Darwinian evolution: a polynomial time algorithm for the traveling salesman
problem. Biological Cybernetics, 65(1):31–35, 1991. ga:Ambati91.
[1683] Balamurali Krishna Ambati, Jayakrishna Ambati, and Mazen Moein Mokhtar. Erratum: Heuristic combinatorial optimization by simulated Darwinian evolution: a polynomial time algorithm for the Traveling
Salesman Problem. Biological Cybernetics, 66(3):290, 1992. ga:Ambati92.
[1684] Fam Quang Bac and V. L. Perov. New evolutionary genetic algorithms for NP-complete combinatorial
optimization problems. Biological Cybernetics, 69(3):229–234, 1993. ga:Bac93a.
[1685] Wolfgang Banzhaf.
ga:Banzhaf90a.
The “molecular” traveling salesman.
Biological Cybernetics, 64(?):7–14, 1990.
[1686] Hans-Georg Beyer. Some aspects of the evolution strategy for solving TSP-like optimization problems
appearing at the design studies of a 0.5 TeV e+ -e− -linear collider. In M¨
anner and Manderick [1762], pages
351–360. ga:Beyer92a.
[1687] Hans-Georg Beyer. Optimization of large-scale order problems by the evolution strategy. Report: One year
KSR1 at the University of Mannheim; Results & Experiences RUM 35/93, Ruhr Universit¨
at Mannheim,
1993. ga:Beyer93c.
[1688] Thorsten Boseniuk and Werner Ebeling. Evolution strategies in complex optimization: The travelling
salesman problem. Systems Analysis – Modeling – Simulation, 5(5):413–422, 1988. † ga:Boseniuk88a.
[1689] Thorsten Boseniuk and Werner Ebeling. Optimization of NP-complete problems by Boltzmann-Darwin
strategies including life cycles. Europhysics Letters, 6(2):107–112, 15. May 1988. ga:Boseniuk88b.
[1690] Thorsten Boseniuk. Travelling salesman problem: Optimization by evolution of interacting tours. In
Hans-Michael Voigt, Heinz M¨
uhlenbein, and Hans-Paul Schwefel, editors, Evolution and Optimization ’89,
Selected Papers on Evolution Theory, Combinatorial Optimization, and Related Topics, pages 189–198,
Wartburg Castle, Eisenach (Germany), 2.-4. April 1989. Akademie-Verlag, Berlin. ga:Boseniuk89a.
[1691] Heinrich Braun. On solving travelling salesman problems by genetic algorithms. In Schwefel and M¨
anner
[1751], pages 129–133. ga:Braun90.
[1692] Bill P. Buckles, Frederick E. Petry, and Rebecca L. Kuester. Schema survival rates and heuristic search
in genetic algorithms. In Apostolos Dollas and Nikolaos G. Bourbakis, editors, Proceedings of the 1990
IEEE International Conference on Tools for Artificial Intelligence TAI’90, pages 322–327, Herndon, VA,
6.-9. November 1990. IEEE Computer Society Press, Los Alamitos, CA. ga:Buckles90.
[1693] Cheng-Hong Yang. Genetic search and time constrained routing. PhD thesis, North Dakota State University
of Agriculture and Applied Sciences, 1992. * ACM/92 DAI 53/5 ga:CHYangThesis.
[1694] Christine L. Valenzuela and Antonia J. Jones. Evolutionary divide and conquer (I): A novel genetic approach to the TSP. Evolutionary Computation, 1(4):313–333, Fall 1993. * News /Schlapfer
ga:CLValenzuela93a.
[1695] D. S. Johnson. Local optimization and the traveling salesman problem. In ?, editor, Proceedings of the
17th Colloquium on Automata, Languages, and Programming, pages 446–461, ?, ? 1990. Springer-Verlag.
† ga:DSJohnson90.
Bibliography
137
[1696] I. De Falco, R. Del Balio, E. Tarantino, and R. Vaccaro. Simulation of genetic algorithms on MIMD
multicomputers. Parallel Processing Letters, 2(4):381–389, December 1992. ga:DeFalco92a.
[1697] Andreas Schober, Marcel Thuerk, and Manfred Eigen. Optimization by hierarchical mutant production.
Biological Cybernetics, 69(5-6):493–501, ? 1993. ga:Eigen93a.
[1698] Feng-Tse Lin, Cheng-Yan Kao, and Ching-Chi Hsu. Applying the genetic approach to simulated annealing
in solving some NP-hard problems. IEEE Transactions on Systems, Man, and Cybernetics, 23(6):1752–
1767, December 1993. ga:FTLin93a.
[1699] Jun Cui, Terence C. Fogarty, and John G. Gammack. Searching databases using parallel genetic algorithms on a transputer computing surface. Future Generation Computer Systems, 9(1):33–40, May 1993.
ga:Fogarty93b.
[1700] Terence C. Fogarty and Jun Cui. Optimization of a 532-city symmetric travelling salesman problem with
a parallel genetic algorithm. In A. E. Fincham and B. Ford, editors, Proceedings of the IMA Conference
on Parallel Computing, pages 295–304, ?, ? 1993. Clarendon Press, Oxford. †Fogarty ga:Fogarty93e.
[1701] David B. Fogel. An evolutionary approach to the traveling salesman problem. Biological Cybernetics,
60(2):139–144, 1988. † ga:Fogel88b.
[1702] David B. Fogel. A parallel processing approach to a multiple travelling salesman problem using evolutionary
programming. In L. Cantor, editor, Proceedings of the Fourth Annual Symposium on Parallel Processing,
pages 318–326, Fullerton, CA, April 1990. IEEE Computer Society Press, Los Alamitos , CA. †Fogel/bib
ga:Fogel90j.
[1703] David B. Fogel. Applying evolutionary programming to selected traveling salesman problems. Cybernetics
and Systems, 24(1):27–36, January-February 1993. †Fogel/bib ga:Fogel93f.
[1704] David B. Fogel. Empirical estimation of the computation required to reach approximate solutions to the
travelling salesman problem using evolutionary programming. In David B. Fogel and W. Atmar, editors,
Proceedings of the 2nd Annual Conference on Evolutionary Programming, pages 56–61, La Jolla, CA,
25.-26. February 1993. Evolutionary Programming Society, San Diego. †Fogel/bib ga:Fogel93g.
[1705] David E. Goldberg and Jr. Robert Lingle. Alleles, loci, and the traveling salesman problem. In Grefenstette
[1749], pages 154–159. ga:Goldberg85c.
[1706] John J. Grefenstette, Rajeev Gopal, Brian J. Rosmaita, and Dirk Van Gucht. Genetic algorithms for the
traveling salesman problem. In Grefenstette [1749], pages 160–168. ga:Grefenstette85b.
[1707] Abdollah Homaifar and Shanguchuan Guan. A new approach on the traveling salesman problem by genetic
algorithm. Technical Report ?, North Carolina A & T State University, 1991. †Michalewicz92book
ga:Homaifar91a.
[1708] Abdollah Homaifar, Shanguchuan Guan, and Gunar E. Liepins. Schema analysis of the traveling salesman
problem using genetic algorithms. Complex Systems, 6(6):533–552, December 1992. * EEA 48825/94
ga:Homaifar92b.
[1709] I. M. Oliver, D. J. Smith, and J. R. C. Holland. A study of permutation crossover operators on the traveling
salesman problem. In Grefenstette [1793], pages 224–230. ga:JRCHolland87.
[1710] Prasanna Jog, Jung Y. Suh, and Dirk Van Gucht. The effects of population size, heuristic crossover and
local improvement on a genetic algorithm for the traveling salesman problem. In Schaffer [1781], pages
110–115. ga:Jog89.
[1711] K. F. Pal. Genetic algorithms for the traveling salesman problem based on a heuristic crossover. Biological
Cybernetics, 69(5-6):539–549, ? 1993. * CCA 25514/94 ga:KFPal93a.
[1712] Nagesh Kadaba. Xroute: A knowledge-based routing system using neural networks and genetic algorithms. PhD thesis, North Dakota State University of Agriculture and Applied Sciences, Fargo, 1990.
ga:KadabaThesis.
[1713] John J. Kanet and V. Sridharan. Progenitor: A genetic algorithm for production scheduling.
Wirtschaftsinformatik, 33(4):332–336, August 1991. ga:Kanet91.
[1714] Casimir C. Klimasauskas. Genetic algorithm optimizes 100-city route in 21 minutes on a PC! Advanced
Technology for Developers, 2(?):9–17, February 1993. ga:Klimasauskas93b.
[1715] Herbert Kopfer. Konzepte genetischer Algorithmen und ihre Anwendung auf das Frachtoptimierungsproblem im gewerblichen G¨
uterfernverkehr [Genetic algorithms concepts and their application to freight minimization in commercial long distance freight transportation]. OR Spektrum, 14(3):137–147, 1992. (in
German) ga:Kopfer92a.
138
Genetic algorithms in operations research
[1716] Mark L. Lidd. Traveling salesman problem domain application of a fundamentally new approach to utilizing
genetic algorithms. Technical Report Air Force Contract F4920-90-G-0033, MITRE Corporation, 1991.
†Michalewicz92book ga:Lidd91a.
[1717] M. R. Hilliard, Gunar E. Liepins, Jon T. Richardson, and Mark R. Palmer. Genetic algorithms applications
to set covering and traveling salesman problems. In D. E. Brown and C. C.White, editors, Operations
research and artificial intelligence: The integration of problem solving strategies, pages 29–57. Kluwer
Academic Publishers, Boston, MA, 1990. † ga:Liepins90c.
[1718] Abdollah Homaifar, Shanguchuan Guan, and Gunar E. Liepins. A new approach on the traveling salesman
problem by the genetic algorithms. In Forrest [1750], pages 460–466. ga:Liepins93a.
[1719] Bernard Manderick, Mark de Weger, and Piet Spiessens. The genetic algorithm and the structure of the
fitness landscape. In Belew and Booker [1790], pages 143–150. ga:Manderick91a.
[1720] Heinz M¨
uhlenbein and J. Kindermann. The dynamics of evolution and learning — towards genetic neural
networks. In R. Pfeifer, Z. Schreter, F. Fogelmann-Soulie, and L. Stees, editors, Connectionism in 9
Perspective, pages 173–198. North-Holland, 1989. ga:Muhlenbein89b.
[1721] Heinz M¨
uhlenbein. Evolution in time and space – the parallel genetic algorithm. In Gregory J. E. Rawlins,
editor, Foundations of Genetic Algorithms, pages 316–337, Indiana University, 15.-18. July 1990 1991.
Morgan Kaufmann: San Mateo, CA. ga:Muhlenbein91a.
[1722] G. Napierala. Ein paralleler Evolutionsalgorithmus zur L¨
osung des Travelling Salesman Problems. Diplomarbeit, Universit¨
at Bonn, 1989. †Achilles/GMD ga:NapieralaMSThesis.
[1723] David John Nettleton and Roberto Garigliano. Large ratios of mutation to crossover: The example of the
traveling salesman problem. In F. A. Sadjadi, editor, Adaptive and Learning Systems II, volume SPIE1962, pages 110–119, Orlando, FL, 12.-13. April 1993. The International Society for Optical Engineering.
ga:Nettleton93b.
[1724] Kendall E. Nygard and Cheng-Hong Yang. Genetic algorithms for the traveling salesman problem with
time windows. In Balci, Sharda, and Zenios, editors, Computer Science and Operations Research. New Developments in their Interfaces, pages 411–423, Williamsburg, VA, 8.-10. January 1992. Pergamon, Oxford.
* CCA 24815/94 ga:Nygard92a.
[1725] Cheng-Hong Yang and Kendall E. Nygard. Effects of initial population in genetic search for time constrained traveling salesman problem. In Stan C. Kwasny and John F. Buck, editors, Proceedings of the
21st Annual ACM Computer Science Conference, pages 378–383, Indianapolis, IN, 16.-18. February 1993.
ACM, New York. * EI M089103/93 ACM/93 ga:Nygard93a.
[1726] N. L. J. Ulder, E. H. L. Aarts, H.-J. Bandelt, P. J. M. van Laarhoven, and Erwin Pesch. Genetic local
search algorithm for the travelling salesman problem. In Schwefel and M¨
anner [1751], pages 109–116.
ga:Pesch90.
[1727] Carsten Peterson. Parallel distributed approaches to combinatorial optimization: benchmark studies on
traveling salesman problem. Neural Computation, 2:261–269, 1990. ga:Peterson90.
[1728] P. Prinetto, Maurizio Rebaudengo, and Matteo Sonza Reorda. Hybrid genetic algorithms for the traveling
salesman problem. In Albrecht et al. [1791], pages 559–566. ga:Prinetto93a.
[1729] Bob Reetz. Greedy solutions to the traveling sales person problem. Advanced Technology for Developers,
2(?):8–14, May 1993. ga:Reetz93a.
[1730] S. M. Roberts and B. Flores. An engineering approach to the travelling salesman problem. Man. Sci.,
13(?):269–288, ? 1966. †Reeves94/2FWGA ga:SMRoberts66.
[1731] Youssef G. Saab and Vasant B. Rao. Combinatorial optimization by stochastic evolution. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 10(4):525–535, 1991. ga:Saab91a.
[1732] Markus Schwehm, Karl Dieter Reinartz, Thomas Walter, S¨
onke-Sonnich Gold, Christoph Sch¨
aftner, Thilo
Opaterny, Alexander Ost, and Norbert Engst. Massiv parallele genetische Algorithmen, Beitr¨
age zum
Tag der Informatik Erlangen 1993. Interner Bericht IMMD VII - 8/93, Friedrich-Alexander-Universit¨
at
Erlangen-N¨
urnberg, Institut f¨
ur Matematische Maschinen und Datenverarbeitung, 1993. (in German)
ga:Schwehm93b.
[1733] D. Seniw. A genetic algorithm for the traveling salesman problem. PhD thesis, University of North Carolina
at Charlotte, 1991. †Michalewicz92book ga:SeniwThesis.
[1734] Timothy John Starkweather, S. McDaniel, C. Whitley, Keith E. Mathias, and Darrell L. Whitley. A
comparison of genetic sequencing operators. In Belew and Booker [1790], pages 69–76. ga:Starkweather91.
Bibliography
[1735] Joachim Stender.
ga:Stender92b.
139
Solving complex tour-planning problems.
chapter 4. Applications. 1993.
†
[1736] Prasanna Jog, Jung Y. Suh, and Dirk Van Gucht. Parallel genetic algorithms applied to the traveling
salesman problem. SIAM Journal on Optimization, 1(4):515–529, ? 1991. †Levine93a ga:Suh91a.
[1737] Sam Rabindranath Thangiah. Gideon: A genetic algorithm system for vehicle routing with time windows. PhD thesis, North Dakota State University of Agriculture and Applied Sciences, Fargo, 1991.
ga:ThangiahThesis.
[1738] K. Watanabe, Y. Ikeda, S. Matsuo, and T. Tsuji. Improvement of genetic algorithm and its applications. Memoirs of the Faculty of Engineering, Fukui University, 40(1):133–149, 1992. (in Japanese) †
ga:Tsuji92.
[1739] Darrell Whitley, Timothy John Starkweather, and D’Ann Fuquay. Scheduling problems and traveling
salesmen: The genetic edge recombination operator. In Schaffer [1781], pages 133–140. ga:Whitley89c.
[1740] Darrell Whitley, Timothy John Starkweather, and Daniel Shaner. Handbook of genetic algorithms. In
Davis [1784], chapter 22. The traveling salesman and sequence scheduling: Quality solutions using edge
recombination, pages 350–372. ga:Whitley91a.
[1741] Keith E. Mathias and Darrell L. Whitley. Genetic operators, the fitness landscape and the traveling
salesman problem. In M¨
anner and Manderick [1762], pages 219–228. † ga:Whitley92c.
[1742] Xin Yao. Optimization by genetic annealing. In M. Jabri, editor, Proceedings of the Second Australian
Conference on Neural Networks, pages 94–97, Sydney, February 1991. ga:XYao91.
[1743] Masayuki Yamamura, Isao Ono, and Shigenobu Kobayashi. Character-preserving genetic algorithms for
traveling salesman problem. Journal of Japanese Society for Artificial Intelligence, 7(6):1049–1059, November 1992. (in Japanese) †Fogel/bib ga:Yamamura92a.
[1744] Percy P. C. Yip and Yoh-Han Pao. A new approach to the traveling salesman problem. In IJCNN’93
[1794], pages 1569–1572. * CCA 36475/95 ga:Yip93a.
[1745] Peng Tian and Zihou Yang. An improved simulated annealing algorithm with genetic characteristics and
the traveling salesman problem. J. Inf. Optimization Sci. (India), 14(3):241–255, September 1993. * CCA
9369/94 ga:ZYang93a.
[1746] Jarmo T. Alander. Indexed bibliography of genetic algorithms in logistics. Report 94-1-LOGISTICS,
University of Vaasa, Department of Information Technology and Production Economics, 1995. http:
//lipas.uwasa.fi/~TAU/reports/report94-1/gaLOGISTICSbib.pdf gaLOGISTICSbib.
[1747] Jarmo T. Alander. Indexed bibliography of genetic algorithms in tsp. Report 94-1-TSP, University of
Vaasa, Department of Information Technology and Production Economics, 1995. http://lipas.uwasa.
fi/~TAU/reports/report94-1/gaTSPbib.pdf gaTSPbib.
[1748] Jarmo T. Alander, editor. Proceedings of the Second Finnish Workshop on Genetic Algorithms and their
Applications, volume Report Series 94-2, Vaasa (Finland), 16.-18. March 1994. University of Vaasa, Department of Information Technology and Industrial Economics. (ftp://ftp.uwasa.fics/report94-1/*.ps.Z)
GA:GArapo94.
[1749] D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors. Artificial Neural Nets and Genetic Algorithms,
Al`es (France), 19.-21. April 1995. Springer-Verlag, Wien New York. ga95ICANNGA.
[1750] J¨
org Biethahn and Volker Nissen, editors. Evolutionary Algorithms in Management Application. SpringerVerlag, Berlin, 1995. †Schwehm News/Nissen ga95aBiethahn.
[1751] Xin Yao, editor. Progress in Evolutionary Computation. Proceedings of the AI’93 and AI’94 Workshops on
Evolutionary Computation, volume 956 of Lecture Notes in Artificial Intelligence, Melbourne and Armidale
(Australia), 16. November 1993 and 21.-22. November 1994 1995. Springer Verlag, Berlin. †News /Yao
ga95Springer956.
[1752] John J. Grefenstette, editor. Proceedings of the First International Conference on Genetic Algorithms and
Their Applications, Pittsburgh, PA, 24. - 26. July 1985. Lawrence Erlbaum Associates: Hillsdale, New
Jersey. ga:GA1.
[1753] Ilkka Ikonen and William E. Biles. A genetic algorithm with 3-dimensional chromosome for packing nonconvex parts for selective laser sintering. In Alander [1760], pages 83–96. (ftp://ftp.uwasa.fics/3NWGA/
Ikonen.ps.Z) ga97aIkonen.
[1754] Stephanie Forrest, editor. Proceedings of the Fifth International Conference on Genetic Algorithms,
Urbana-Champaign, IL, 17.-21. July 1993. Morgan Kaufmann, San Mateo, CA. ga:GA5.
140
Genetic algorithms in operations research
[1755] Hans-Paul Schwefel and R. M¨
anner, editors. Parallel Problem Solving from Nature, volume 496 of Lecture
Notes in Computer Science, Dortmund (Germany), 1.-3. October 1991. Springer-Verlag, Berlin. (Proceedings of the 1st Workshop on Parallel Problem Solving from Nature (PPSN1)) ga:PPSN1.
[1756] John R. Koza, editor. Genetic Algorithms at Stanford 1994, Stanford, CA, Fall 1994. Stanford Bookstore.
†Koza ga94Stanford.
[1757] David Mark Levine. A parallel genetic algorithm for the set partitioning problem. Report ANL-94/23,
Argonne National Laboratory, 1994. (also as [56], ftp://info.mcs.anl.gov/pub/tech{{\protect\
protect\protect\edefOT1{OT1}\let\enc@update\relax\protect\edefcmr{cmr}\protect\edefm{m}\
protect\edefn{n}\protect\xdef\OT1/cmtt/m/n/9{\OT1/cmr/m/n/9}\OT1/cmtt/m/n/9\size@update\
enc@update\ignorespaces\relax\protect\relax\protect\edefcmr{cmr}\protect\xdef\OT1/cmtt/
m/n/9{\OT1/cmr/m/n/9}\OT1/cmtt/m/n/9\size@update\enc@update{_}}}reports/ANL9423.ps.Z)
*
N95-10981 ga94bLevine.
[1758] Jarmo T. Alander, editor. Proceedings of the Third Nordic Workshop on Genetic Algorithms and their
Applications (3NWGA), Helsinki (Finland), 18.-22. August 1997. Finnish Artificial Intelligence Society
(FAIS). (ftp://ftp.uwasa.fics/3NWGA/*.ps.Z) ga97NWGA.
[1759] Lance D. Chambers, editor. Practical Handbook of Genetic Algorithms, volume 3, Complex Coding Systems. CRC Press, Boca Raton, FL, 1999. ga99CRC.
[1760] J. D. Becker, I. Eisele, and F. W. Mundemann, editors. Parallelism, Learning, Evolution. Workshop
on Evolutionary Models and Strategies and Workshop on Parallel Processing: Logic, Organization, and
Technology - WOPPLOT 89, number 565 in Lecture Notes in Artificial Intelligence, Neubiberg (Germany) and Wildbad Kreuth (Germany), 10.-11. March and 24.-28. July 1989 1991. Springer-Verlag, Berlin.
ga:Eisele91book.
[1761] Yuval Davidor, Hans-Paul Schwefel, and Reinhard Manner, editors. Parallel Problem Solving from Nature
– PPSN III, volume 866 of Lecture Notes in Computer Science, Jerusalem (Israel), 9.-14. October 1994.
Springer-Verlag, Berlin. † ga94PPSN3.
[1762] Jarmo T. Alander, editor. Proceedings of the First Nordic Workshop on Genetic Algorithms and their
Applications (1NWGA), Proceedings of the University of Vaasa, Nro. 2, Vaasa (Finland), 9.-12. January
1995. University of Vaasa. (ftp://ftp.uwasa.fics/1NWGA/*.ps.Z) ga95NWGA.
[1763] Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheffield (UK), 12.-14. September 1995. IEEE.
†conf. prog.
ga95Sheffield.
[1764] Lance D. Chambers, editor. Practical Handbook of Genetic Algorithms, volume 1, Applications. CRC
Press, Boca Raton, FL, 1995. ga95CRC1.
[1765] Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, and Hans-Paul Schwefel, editors. Parallel Problem
Solving from Nature – PPSN IV, volume 1141 of Lecture Notes in Computer Science, Berlin (Germany),
22.-26. September 1996. Springer-Verlag, Berlin. ga96PPSN4.
[1766] Terence C. Fogarty?, editor. Evolutionary Computing, Proceedings of the AISB96 Workshop, Brighton,
UK, 1.-2. April 1996. Springer-Verlag, Berlin (Germany). †ssq ga96AISB.
[1767] Proceedings of the Second European Congress on Intelligent Techniques and Soft Computing (EUFIT’94),
Aachen (Germany), 20.-23. September 1994. ELITE-Foundation. ga94EUFIT.
[1768] Larry J. Eshelman, editor. Proceedings of the Sixth International Conference on Genetic Algorithms,
Pittsburgh, PA, 15.-19. July 1995. ? †prog ga95ICGA.
[1769] R. M¨
anner and B. Manderick, editors. Parallel Problem Solving from Nature, 2, Brussels, 28.-30. September
1992. Elsevier Science Publishers, Amsterdam. ga:PPSN2.
[1770] Proceedings of the First IEEE Conference on Evolutionary Computation, Orlando, FL, 27.-29. June 1994.
IEEE, New York, NY. ga94ICCIEC.
[1771] Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, Vancouver, BC
(Canada), 22.-25. October 1995. IEEE, Piscataway, NJ. †EI M042825/96 ga95IEEE-SMC.
[1772] Jarmo T. Alander, editor. Proceedings of the Second Nordic Workshop on Genetic Algorithms and their
Applications (2NWGA), Proceedings of the University of Vaasa, Nro. 11, Vaasa (Finland), 19.-23. August
1996. University of Vaasa. (ftp://ftp.uwasa.fics/2NWGA/*.ps.Z) ga96NWGA.
[1773] Jarmo T. Alander, editor. Geneettiset algoritmit – Genetic Algorithms, number TKO-C53. Helsinki University of Technology (HUT), Department of Computer Science, 1992. (Proceedings of a GA Seminar held
at HUT) GA:GArapo92.
Bibliography
141
[1774] Christian H¨
ohn and Colin R. Reeves. The crossover landscape for the onemax problem. In Alander [1772],
pages 27–44. (ftp://ftp.uwasa.fics/2NWGA/Reeves.ps.Z) ga96aHohn.
[1775] Peter F. Stadler and Robert Happel. Random field model for fitness landscape. Journal of Mathematical
Biology, 38(?):435–467, ? 1999. (http://www.tbi.univie.ac.at/$\sim$\studla/publications.html)
ga99aPeterFStadler.
[1776] Sam Sandqvist. Aspects of modelling and simulation of genetic algorithms: a formal approach. PhD
thesis, Helsinki University of Technology, Department of Computer Science and Engineering, 2002.
ga02aSamSandqvist.
[1777] Edward J. Anderson and Michael C. Ferris. Genetic algorithms for combinatorial optimization: The assembly line balancing problem. ORSA Journal on Computing, 6(2):161–173, Spring 1994. * ga94aAnderson.
[1778] Nachimuthu Karunanithi and Tamra Carpenter. A ring loading application of genetic algorithms. In ?,
editor, Proceedings of the ACM Symposium on Applied Computing, pages 227–231, ?, ? 1994. ACM. †[450]
ga94aKarunanithi.
[1779] Nirwan Ansari and Edwin S. H. Hou. Computational Intelligence for Optimization. Kluwer Academic
Publishers, London (UK), 1997. †www.amazon.com [465] ga97aAnsari.
[1780] Ingo Rechenberg. Evolutionsstrategie ’94. Frommann-Holzboog-Verlag, Stuttgart (Germany), 1994. (in
German; includes also [1802]) ga94aRechenberg.
[1781] J. David Schaffer, editor. Proceedings of the Third International Conference on Genetic Algorithms, Georg
Mason University, 4.-7. June 1989. Morgan Kaufmann Publishers, Inc. ga:GA3.
[1782] Jens Lienig and James P. Cohoon. Genetic algorithms applied to the physical design of VLSI circuits: A
survey. In Voigt et al. [1768], pages 839–848. ga96aLienig.
[1783] Proceedings of the Second IEEE Conference on Evolutionary Computation, Perth (Australia), November
1995. IEEE, New York, NY. ga95ICEC.
[1784] Lance D. Chambers, editor. Practical Handbook of Genetic Algorithms, volume 2, Applications. CRC
Press, Boca Raton, FL, 1995. ga95CRC2.
[1785] Pavel Oˇsmera, editor. Proceedings of the MENDEL’96, Brno (Czech Republic), June 1996. Technical
University of Brno. ga96Brno.
[1786] Pavel Oˇsmera, editor. Proceedings of the 4th International Mendel Conference on Genetic Algorithms,
Optimization problems, Fuzzy Logic, Neural networks, Rough Sets (MENDEL’98), Brno (Czech Republic),
24.-26. June 1998. Technical University of Brno. ga98Brno.
[1787] M. J. O’Dare and T. Arslan. Generating test patterns for VLSI circuits using a genetic algorithm. Electronics Letters, 30(10):778–779, 12. May 1994. ga94aODare.
[1788] Lawrence Davis, editor. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991.
ga:Davis91book.
[1789] Jin-Kao Hao and Rapha¨el Dorne. Une approche evolutionniste pour le probleme d’allocation de frequences
dans les reseaux radio-mobiles [Study of genetic search for the frequency assignment problem]. In ? [1803],
pages 333–344. * CCA 59761/96 ga95aJ-KHao.
[1790] Stephen D. Scott, Sharad Seth, and Ashok Samal. A synthesizable VHDL coding of a genetic algorithm.
Technical Report UNL-CSE-97-009, University of Nebraska-Lincoln, 1997. ga97aSDScott.
[1791] John R. Koza, editor. Genetic Algorithms at Stanford 1995, Stanford, CA, 1995. Stanford Bookstore.
†Koza ga95Stanford.
[1792] Pavel Oˇsmera, editor. Proceedings of the MENDEL’95, Brno (Czech Republic), 26.-28. September 1995.
Technical University of Brno. ga95Brno.
[1793] Loi Lei Lai, J. T. Ma, and Y. H. Yang. Power flow control in facts with genetic algorithm. In ?, editor,
Proceedings of the 1995 30th Universities Power Engineering Conference, volume 1, pages 301–306, London
(UK), 5.-7. September 1995. University of Greenwich. * EI M019760/95 ga95aLLLai.
[1794] Pavel Oˇsmera, editor. Proceedings of the 3rd International Mendel Conference on Genetic Algorithms,
Optimization problems, Fuzzy Logic, Neural networks, Rough Sets (MENDEL’97), Brno (Czech Republic),
25.-27. June 1997. Technical University of Brno. ga97Brno.
[1795] Edward Tsang. A glimpse of constraint satisfaction. Artificial Intelligence Review, 13(3):215–227, June
1999. ga99aEdwardTsang.
142
Genetic algorithms in operations research
[1796] Richard K. Belew and Lashon B. Booker, editors. Proceedings of the Fourth International Conference on
Genetic Algorithms, San Diego, 13.-16. July 1991. Morgan Kaufmann Publishers. ga:GA4.
[1797] R. F. Albrecht, C. R. Reeves, and N. C. Steele, editors. Artificial Neural Nets and Genetic Algorithms,
Innsbruck, Austria, 13. -16. April 1993. Springer-Verlag, Wien. ga:ANNGA93.
[1798] W. J. M. Philipsen and L. J. M. Cluitmans. Using a genetic algorithm to tune Potts neural networks. In
Albrecht et al. [1791], pages 650–657. ga:Philipsen93a.
[1799] John J. Grefenstette, editor. Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic Algorithms and Their Applications, MIT, Cambridge, MA, 28. - 31. July
1987. Lawrence Erlbaum Associates: Hillsdale, New Jersey. ga:GA2.
[1800] IJCNN’93-NAGOYA Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya
(Japan), 25.-29. October 1993. IEEE. ga:IJCNN93.
[1801] ?, editor. Evolution Artificielle 95 (EA’95), Brest (France), 4.-6. September 1995. Springer-Verlag, Berlin.
†conf. prog. ga95EA.
[1802] Andrew Tuson and Peter Ross. Co-evolution of operator settings in genetic algorithms. In Fogarty? [1769],
pages 291–300. ga96aTuson.
[1803] Ingo Rechenberg. Evolutionsstrategie: Optimierung technisher Systeme nach Prinzipien der biologischen
Evolution. Frommann-Holzboog Verlag, Stuttgart, 1973. (reprint in [1777]) † ga:Rechenberg73book.
Notations
†(ref)
= the bibliography item does not belong to my collection of genetic papers.
(ref) = citation source code. ACM = ACM Guide to Computing Literature, EEA = Electrical & Electronics Abstracts, BA = Biological Abstracts, CCA = Computers & Control Abstracts, CTI = Current
Technology Index, EI = The Engineering Index (A = Annual, M = Monthly), DAI = Dissertation Abstracts International, P = Index to Scientific & Technical Proceedings, PA = Physics Abstracts, PubMed
= National Library of Medicine, BackBib = Thomas B¨ack’s unpublished bibliography, Fogel/Bib = David
Fogel’s EA bibliography, etc
* = only abstract seen.
? = data of this field is missing (BiBTeX-format).
The last field in each reference item in Teletype font is the BiBTEXkey of the corresponding reference.
Appendix A
Bibliography entry formats
This documentation was prepared with LATEX and reproduced from camera-ready copy supplied by the editor. The ones
who are familiar with BibTeX may have noticed that the references are printed using abbrv bibliography style and have
no difficulties in interpreting the entries. For those not so familiar with BibTeX are given the following formats of the
most common entry types. The optional fields are enclosed by ”[ ]” in the format description. Unknown fields are shown
by ”?”. † after the entry means that neither the article nor the abstract of the article was available for reviewing and so
the reference entry and/or its indexing may be more or less incomplete.
Book: Author(s), Title, Publisher, Publisher’s address, year.
Example
John H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press,
Ann Arbor, 1975.
Journal article: Author(s), Title, Journal, volume(number): first page – last page, [month,] year.
Example
David E. Goldberg. Computer-aided gas pipeline operation using genetic algorithms and rule learning.
Part I: Genetic algorithms in pipeline optimization. Engineering with Computers, 3(?):35–45, 1987.
†.
Note: the number of the journal unknown, the article has not been seen.
Proceedings article: Author(s), Title, editor(s) of the proceedings, Title of Proceedings, [volume,] pages, location of the
conference, date of the conference, publisher of the proceedings, publisher’s address.
Example
John R. Koza. Hierarchical genetic algorithms operating on populations of computer programs. In
N. S. Sridharan, editor, Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89),
pages 768–774, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA. † .
Technical report: Author(s), Title, type and number, institute, year.
Example
Thomas B¨
ack, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms.
Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992.
143
144
Vaasa GA Bibliography
Vaasa GA Bibliography
145
Vaasa Genetic Algorithm Bibliography
Search & Optimise
Main features:
• Over 20,000 references to published papers
• by over 20,000 researchers.
• Available as over 70 special bibliographies online:
http://lipas.uwasa.fi/~TAU/reports/report94-1/ga*bib.pdf files.
• Covers all sciences and engineering fields, from basic theory to applications.
• Several indexes and statistical summaries.
• See what problems evolution can solve for you!
Global optimisation and search heuristics called genetic algorithm mimics evolution in nature using
recombination and selection from a set of solution trials called population. One of the most prominent
attractive features of genetic algorithms from the practical point of view of software techniques is their
simplicity, which makes them easy to implement and tailor to solve practical search and optimisation
problems.
In spite of the seemingly simple processing, the genetic algorithms are good at solving some problems
that are known to be hard. The simplicity, generality, flexibility, parallelism, and the good problem solving
capability have made genetic algorithm very popular among various disciplines desperately searching
methods to solve difficult optimisation problems.
—————
Observe that our server has also a selection of our papers on genetic algorithms and other compuational
topics. See our bibliographies or file ftp.uwasa.fi/cs/README for further details.
146
file
ga90bib.ps.Z
.
.
.
ga02bib.ps.Z
gaACOUSTICSbib.pdf
gaAIbib.pdf
gaAERObib.pdf
gaAGRObib.pdf
gaALIFEbib.pdf
gaARTbib.pdf
gaAUSbib.pdf
gaBASICSbib.pdf
gaBIObib.pdf
gaCADbib.pdf
gaCHEMbib.pdf
gaCHEMPHYSbib.ps.Z
gaCIVILbib.pdf
gaCODEbib.pdf
gaCOEVObib.pdf
gaCONTROLbib.pdf
gaCSbib.pdf
gaEARLYbib.pdf
gaEAST-EURObib.ps.Z
gaECObib.pdf
gaECOLbib.pdf
gaELMAbib.pdf
gaESbib.pdf
gaFAR-EASTbib.ps.Z
gaFEMbib.pdf
gaFINbib.pdf
gaFPGAbib.pdf
gaFRAbib.ps.Z
gaFTPbib.ps.Z
gaFUZZYbib.pdf
gaGAMEbib.pdf
gaGEObib.pdf
gaGERbib.ps.Z
gaGPbib.pdf
gaIMPLEbib.pdf
gaINDIAbib.ps.Z
gaINVERSEbib.pdf
gaIREGbib.pdf
gaISbib.pdf
gaJAPANbib.ps.Z
gaLCSbib.pdf
gaLASERbib.pdf
gaLATINbib.ps.Z
gaLOGISTICSbib.pdf
gaMANUbib.pdf
gaMATHbib.pdf
gaMEDICINEbib.pdf
gaMEDITERbib.ps.Z
gaMICRObib.pdf
gaMILbib.pdf
gaMLbib.pdf
gaMSEbib.pdf
gaNANObib.pdf
gaNIRbib.pdf
gaNNbib.pdf
gaNORDICbib.pdf
gaOPTICSbib.pdf
gaOPTIMIbib.pdf
gaORbib.pdf
Vaasa GA Bibliography
# refs
..
.
557
190
2566
911
405
184
174
720
1177
1635
1407
938
2277
1121
392
232
1881
1453
723
679
1569
177
574
464
1556
90
891
440
540
1353
1521
140
458
1586
1006
1500
276
291
218
87
2475
211
58
649
741
846
1162
1810
83
113
1231
575
117
267
1883
1125
2168
923
1750
updated
..
.
2009/08/17
2013/06/14
2014/05/06
2012/08/01
2014/05/06
2014/05/06
2013/05/14
2014/04/28
2014/05/06
2012/07/30
2009/07/24
2014/05/06
2014/05/06
2008/09/18
2012/08/08
2008/03/20
2014/04/28
2003/07/09
2012/07/16
2012/07/16
2012/07/20
2008/08/13
2011/12/29
2014/05/06
2013/05/22
2014/05/14
2011/12/29
2003/07/09
2012/09/21
2014/05/06
2014/05/06
2004/09/22
2012/07/30
2012/07/30
2003/05/23
2010/01/08
2014/07/04
2009/08/17
2013/05/14
2012/08/08
2009/07/31
2003/07/09
2014/05/06
2009/07/27
2014/07/18
2003/07/09
2008/03/31
2009/08/17
2012/08/08
2013/08/15
2012/07/17
2013/11/18
2012/06/28
2013/11/18
2014/04/28
2003/07/09
2014/12/10
...table continues on the next page...
contents
GA in 1990
..
.
GA in 2002
GA in acoustics
GA in artificial intelligence
GA in aerospace
GA in agriculture
GA in artificial life
GA in art and music
GA in Australia and New Zealand
Basics of GA
GA in biosciences including medicine
GA in Computer Aided Design
GA in chemical sciences ; previously in gaCHEMPHYSbib.ps.Z
GA in chemistry and physics; divided into gaCHEMbib.ps.Z and gaPHYSbib.ps.Z 2002
GA in civil, structural, and mechanical engineering
GA coding
co- and differential evolution GA
GA in control and process engineering
GA in comp. sci. (incl. databases, /mining, software testing and GP)
GA in early years (upto 1989)
GA in the Eastern Europe
GA in economics and finance
GA in ecology and biodiversity
GA in electromagnetics
Evolution strategies
GA in the Far East (excl. Japan)
GA & FEM
GA in Finland
GA & FPGA
GA in France
GA papers available via web (ftp and www)
GA and fuzzy logic
GA and games
GA in geosciences
GA in Germany, Austria, and Switzerland
genetic programming
implementations of GA
GA in India
GA in inverse problems
image registration
immune systems
GA in Japan
Learning Classifier Systems
GA and lasers
GA in Latin America, Portugal & Spain
GA in logistics (incl. TSP)
GA in manufacturing
GA in mathematics
GA in medicine
GA in the Mediterranean
GA in microscopy & microsystems
GA in military applications
GA in machine learning
GA in materials
GA in nanotechnology
GA in NIRS (spectroscopy)
GA in neural networks
GA in Nordic countries
GA in optics and image processing
GA and optimization (only a few refs)
GA in operations research
Vaasa GA Bibliography
file
gaPARAbib.pdf
gaPARETObib.pdf
gaPATENTbib.pdf
gaPATTERNbib.pdf
gaPHYSbib.pdf
gaPIEZObib.pdf
gaPOWERbib.pdf
gaPROTEINbib.pdf
gaPSObib.pdf
gaQCbib.pdf
gaREMOTEbib.pdf
gaROBOTbib.pdf
gaSAbib.pdf
gaSCHEDULINGbib.pdf
gaSELECTIONbib.ps.Z
gaSIGNALbib.pdf
gaSIMULAbib.pdf
gaTELEbib.pdf
gaTHEORYbib.pdf
gaTHESESbib.pdf
gaVAASAbib.pdf
gaVLSIbib.pdf
gaUKbib.ps.Z
gaXbib.ps.Z
# refs
833
469
462
1654
2313
57
1004
491
92
547
302
775
331
868
295
2587
1037
840
2654
578
284
799
1998
129
147
updated
2012/07/30
2009/03/24
2009/07/27
2012/09/21
2008/04/07
2012/07/18
2014/05/14
2008/03/12
2013/08/15
2011/03/09
2012/07/20
2009/07/27
2009/07/24
2014/05/14
2009/07/27
2012/07/27
2009/07/24
2009/07/27
2012/09/17
2009/01/07
2010/08/17
2012/07/16
2008/05/22
2013/08/15
contents
Parallel and distributed GA
Pareto optimization
GA patents
GA in pattern recognition incl. LCS
GA in physical sciences ; previously in gaCHEMPHYSbib.ps.Z
GA & piezo
GA in power engineering
GA in protein research
Particle Swarm Optimisation
quantum computing
GA in remote sensing
GA in robotics
GA and simulated annealing
GA in scheduling
Selection in GAs
GA in signal and image processing
GA in simulation
GA in telecom
Theory and analysis of GA
PhD etc theses
GA in Vaasa
GA in electronics, VLSI design and testing
GA in United Kingdom
GA & X-rays
Table A.1:
Indexed genetic algorithm special bibliographies available online in directory
http://lipas.uwasa.fi/~TAU/reports/report94-1. New updates only as .pdf files.