An Indexed Bibliography of Genetic Algorithms in Computer Aided Design

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Akihiko Konagaya, Aaron Konstam, John R. Koza, Kristinn Kristinsson, D. P. Kwok, Gregory Levitin ......

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An Indexed Bibliography of Genetic Algorithms in Computer Aided Design compiled by

Jarmo T. Alander Department of Information Technology and Production Economics University of Vaasa P.O. Box 700, FIN-65101 Vaasa, Finland e-mail: [email protected] www: http://www.uwasa.fi/~ jal phone: +358-6-324 8444 fax: +358-6-324 8467

Report Series No. 94-1-CAD

DRAFT March 16, 1997 available via anonymous ftp: site ftp.uwasa.fi directory cs/report94-1 le gaCADbib.ps.Z

c 1995, 1996, 1997 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 y(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

1 : : : : : : : : : : : : : : : : : : : : : : : : : : :

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2 Introduction 3 Statistical summaries 3.1 3.2 3.3 3.4 3.5 3.6

Publication type Annual distribution Classi cation Authors Geographical distribution Conclusions and future

4 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

1 2 2 2

5 5 5 6 6 8

9

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5 Permuted title index Bibliography Appendixes A Abbreviations B Bibliography entry formats

9 9 10 10 10 11 11 13 19 24 25

27 47 75 75 77

i

List of Tables 1.1 Indexed GA subbibliographies.

: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :

2.1 Queries used to extract this subbibliography from the main one. 3.1 3.2 3.3 3.4 3.5

Distribution of publication type. Annual distribution of contributions. The most popular subjects. The most productive genetic algorithms and CAD authors. The geographical distribution of the authors.

: : : : : : : : : : : : : :

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ii

3 4 5 5 6 6 7

Chapter 1

Preface \Living organism are consummate problem solvers. They exhibit a versatility that puts the best computer programs to shame." [1] John H. Holland

The material of this bibliography has been extracted from the genetic algorithm bibliography [2], which when this report was compiled contained 7412 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 have been used systematically  ACM: ACM Guide to Computing Literature: 1979 { 1993/4  CA: Computer Abstracts: Jan. 1993 { Feb. 1995  CCA: Computer & Control Abstracts: Jan. 1992 { Mar. 1996 (except May -95)  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 { Mar. 1996  P: Index to Scienti c & Technical Proceedings: Jan. 1986 { Mar. 1996 (except Nov. 1994)

 A: International Aerospace Abstracts: Jan. 1995 { May 1995  N: Scienti c and Technical Aerospace Reports: Jan. 1993 - Dec. 1995 (except Oct. 1995)  EI A: The Engineering Index Annual: 1987 { 1992  EI M: The Engineering Index Monthly: Jan. 1993 { Mar. 1996

1.1 Your contributions erroneous or missing? This bibliography 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 and CAD 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 di erent 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. 1

2

Genetic algorithms and CAD

Complete bibliographical information is really helpful for those who want to nd 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. For further instructions and information see ftp.uwasa.fi/cs/GAbib/README.

1.1.1 How to cite this report?

The complete BiBTEX record for this report is shown below: @TECHREPORT{gaCADbib, KEY = "CAD", ANNOTE = "*on,*FIN,bibliography /special", AUTHOR = "Jarmo T. Alander", TITLE = "Indexed Bibliography of Genetic Algorithms in Computer Aided Design", INSTITUTION = "University of Vaasa, Department of Information Technology and Production Economics", TYPE = "Report", NUMBER = "94-1-CAD", NOTE = "(\ftp{ftp.uwasa.fi}{cs/report94-1}{gaCADbib.ps.Z})", YEAR = 1995 }

You can also use the BiBTEX le GASUB.bib, which is available in our ftp site ftp.uwasa.fi in directory cs/report94-1 and contains records for all GA subbibliographies.

1.2 How to get this report via Internet? Versions of this bibliography are available via anonymous ftp and www from the following sites: media country site directory le ftp Finland ftp.uwasa.fi /cs/report94-1 gaCADbib.ps.Z www Finland http://www.cs.hut.fi ja/gaCADbib gaCADbib.html

Observe that these versions may be somewhat di erent and perhaps reduced as compared to this volume that you are now reading. Due to technical problems in transforming LATEXdocuments into html ones the www versions contain usually less information than the corresponding ftp ones. It is also possible that the www version is completely unreachable. The directory also contains some other indexed GA bibliographies shown in table 1.1.

1.3 Acknowledgement The editor wants to acknowledge all who have kindly supplied references, papers and other information on genetic algorithms and CAD 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, Hans-Georg Beyer, Christian Bierwirth, Joachim Born, Ralf Bruns, I. L. Bukatova, Thomas Back, Yuval Davidor, Dipankar Dasgupta, Marco Dorigo, J. Wayland Eheart, Bogdan Filipic, Terence C. Fogarty, David B. Fogel, Toshio Fukuda, Hugo de Garis, Robert C. Glen, David E. Goldberg, Martina Gorges-Schleuter, Hitoshi Hemmi, Vasant Honavar, Je rey Horn, Aristides T. Hatjimihail, Mark J. Jakiela, Richard S. Judson, Charles L. Karr, Akihiko Konagaya, Aaron Konstam, John R. Koza, Kristinn Kristinsson, D. P. Kwok, Gregory Levitin, Carlos B. Lucasius, Michael de la Maza, John R. McDonnell, J. J. Merelo, Laurence D. Merkle, Zbigniew Michalewics, Melanie Mitchell, David J. Nettleton, Volker Nissen, Tomasz Ostrowski, Kihong Park, Nicholas J. Radcli e, Colin R. Reeves, Gordon Roberts, David Rogers, Ivan Santiban~ez-Koref, Marc Schoenauer, Markus Schwehm, Hans-Paul Schwefel, Michael T. Semertzidis, William M. Spears, Donald S. Szarkowicz, El-Ghazali Talbi, Masahiro Tanaka, Leigh Tesfatsion, Peter M. Todd, Marco Tomassini, Andrew L. Tuson, Jari Vaario, Gilles Venturini, Hans-Michael Voigt, Roger L. Wainwright, D. Eric Walters, James F. Whidborne, Steward W. Wilson, Xin Yao, and Xiaodong Yin. The editor also wants to acknowledge Elizabeth Heap-Talvela for her kind proofreading of the manuscript of this bibliography.

Acknowledgement

le

3

ga90bib.ps.Z ga91bib.ps.Z ga92bib.ps.Z ga93bib.ps.Z ga94bib.ps.Z ga95bib.ps.Z ga96bib.ps.Z gaAIbib.ps.Z gaALIFEbib.ps.Z gaARTbib.ps.Z gaAUSbib.ps.Z gaBASICSbib.ps.Z gaBIObib.ps.Z gaCADbib.ps.Z gaCHEMPHYSbib.ps.Z gaCONTROLbib.ps.Z gaCSbib.ps.Z gaDBbib.ps.Z gaECObib.ps.Z gaENGbib.ps.Z gaESbib.ps.Z gaFAR-EASTbib.ps.Z gaFRAbib.ps.Z gaFTPbib.ps.Z gaFUZZYbib.ps.Z gaGERbib.ps.Z gaGPbib.ps.Z gaIMPLEbib.ps.Z gaLOGISTICSbib.ps.Z gaMANUbib.ps.Z gaMEDITERbib.ps.Z gaNNbib.ps.Z gaNORDICbib.ps.Z gaOPTIMIbib.ps.Z gaOPTICSbib.ps.Z gaORbib.ps.Z gaPARAbib.ps.Z gaPOWERbib.ps.Z gaPROTEINbib.ps.Z gaROBOTbib.ps.Z gaSAbib.ps.Z gaSIGNALbib.ps.Z gaTHEORYbib.ps.Z gaTOP10bib.ps.Z gaUKbib.ps.Z gaVLSIbib.ps.Z

contents GA in 1990 GA in 1991 GA in 1992 GA in 1993 GA in 1994 GA in 1995 GA in 1996 GA in arti cial intelligence GA in arti cial life GA in art and music GA in Australia Basics of GA GA in biosciences including medicine GA in Computer Aided Design GA in chemistry and physics GA in control GA in computer science (incl. databases and GP) GA in databases GA in economics and nance GA in engineering Evolution strategies GA in the Far East (Japan etc) GA in France GA papers available via ftp GA and fuzzy logic GA in Germany genetic programming implementations of GA GA in logistics GA in manufacturing GA in the Mediterranean GA in neural networks GA in Nordic countries GA and optimization (only a few refs) GA in optics and image processing GA in operations research Parallel and distributed GA GA in power engineering GA in protein research GA in robotics GA and simulated annealing GA in signal and image processing Theory and analysis of GA Authors having at least 10 GA papers GA in United Kingdom GA in VLSI design and testing

Table 1.1: Indexed GA subbibliographies.

Chapter 2

Introduction 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 [7] have been implemented by the author mainly as sets of simple awk and gawk programs [8, ?]. string

shape design CAD design

eld

ANNOTE ANNOTE ANNOTE

class Shape design CAD Design

Table 2.1: Queries used to extract this subbibliography from the main one.

4

Chapter 3

Statistical summaries This chapter gives some general statistical summaries of genetic algorithms and CAD literature. More detailed indexes can be found in the next chapter.

type number of items book 1 section of a book 1 part of a collection 7 journal article 138 proceedings article 291 report 23 manual 1 PhD thesis 20 MSc thesis 5 total 487

References to each class (c.f table 2.1) are listed below:  CAD 194 references ([9]-[202])  Design 255 references ([203]-[457])  Shape design 38 references ([458]-[495]) Observe that each reference is included (by the computer) only to one of the above classes (see also the queries for classi cation in table 2.1).

Table 3.1: Distribution of publication type.

3.1 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.

year items year items 1963 1 1964 0 1965 0 1966 0 1967 0 1968 0 1969 0 1970 0 1971 1 1972 0 1973 1 1974 0 1975 0 1976 0 1977 0 1978 0 1979 0 1980 0 1981 0 1982 2 1983 0 1984 0 1985 2 1986 1 1987 5 1988 4 1989 10 1990 17 1991 31 1992 37 1993 72 1994 109 1995 123 1996 70 1997 1 total 487

3.2 Annual distribution Table 3.2 gives the number of genetic algorithms and CAD papers published annually. The annual distribution is also shown in g. 3.1. The average annual growth of GA papers has been approximately 40 % during almost the last twenty years.

3.3 Classi cation

Table 3.2: Annual distribution of contributions.

Every bibliography item has been given at least one describing keyword or classi cation by the edi5

6

Genetic algorithms and CAD

tor of this bibliography. Keywords occurring most are shown in table 3.3.

3.4 Authors Table 3.4 gives the most productive authors. total number of authors 752 Parmee, Ian C. 20 Mazumder, Pinaki 10 1 author 7 7 authors 6 5 authors 5 14 authors 4 41 authors 3 114 authors 2 567 authors 1 Table 3.4: The most productive genetic algorithms and CAD authors.

3.5 Geographical distribution CAD 213 engineering 125 VLSI 58 layout design 55 VLSI design 42 design 35 optimization 34 neural networks 26 electronics 21 parallel GA 18 comparison 18 shape design 15 hybrid 11 application 11 implementation 10 others 1030

Table 3.3: The most popular subjects.

The following table gives the geographical distribution of authors, when the country of the author was known. Over 80% of the references of the main database are classi ed by country.

Geographical distribution

country abs % Total 487 100.00 United States 150 30.80 United Kingdom 79 16.22 Unknown country 57 11.70 Japan 41 8.42 Germany (including former DDR) 30 6.16 Italy 16 3.29 Canada 11 2.26 India 11 2.26 Finland 10 2.05 Australia 9 1.85 Taiwan R.o.C. 7 1.44 Saudi Arabia 6 1.23 Czech Republic 5 1.03 France 5 1.03 Holland 5 1.03 South Korea 5 1.03 Denmark 4 0.82 Hong Kong 4 0.82 Austria 3 0.62 Kuwait 3 0.62 Singapore 3 0.62 Switzerland 3 0.62 Hungary 2 0.41 Israel 2 0.41 P. R. of China 2 0.41 Sweden 2 0.41 Ukraina 2 0.41 Azerbaithzan 1 0.21 Chile 1 0.21 Greece 1 0.21 Mexico 1 0.21 Poland 1 0.21 Russia 1 0.21 Slovenia 1 0.21 Turkey 1 0.21 Yugoslavia 1 0.21

Table 3.5: The geographical distribution of the authors.

7

6

Genetic algorithms and CAD

d d d 1000 d d d number of annual papers d (log scale) d tt 100 dd t t dd t t d d d d t d d t d dd d d 10 d dd d d t t d dd d d d t t d d

1 dd t 1960

t t

1970 year 1980

t

1990

-t

Figure 3.1: The number of papers applying genetic algorithms and CAD ()  = total GA papers. Observe that the last two years are most incomplete in the database.

8

Genetic algorithms and CAD

3.6 Conclusions and future The editor believes that this bibliography contains references to most genetic algorithms and CAD contributions upto and including the year 1996 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

Design Theory and Methodology, Electric Power Systems Research, Electronics Letters, Engineering Design and Automation Journal, Engineering Designer, Engineering Optimization, Ergonomics, European Journal of Operational Research, European Journal of Operations Research, Evolutionary Computation, Fluid / Particle Separation Journal, IEE Colloquium on VLSI Design Methodologies, IEE Proc Devices Syst, IEE Proceedings E: Comput. Digit. Tech., IEE Proceedings G: Electronic Circuits and Systems, IEE Proceedings J: Optoelectronics, IEE Proceedings, Computers and Digital Techniques, IEEE Computer Applications in Power, IEEE Expert, IEEE Proc. Comput. Digital Tech., IEEE Transactions on Computer-Aided Design, [494]

The following list contains all items classi ed as books.

[51]

[234, 245, 261, 380, 390, 98]

[492]

[166]

VLSI Physical Design Automaton: Theory and Practice,

[431]

[338]

[169]

[450]

4.2 Journal articles

[83]

[265, 356]

[41]

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.

[410]

[347]

[101]

[189]

[174]

Adaptive Behavior, Adv. Eng. Softw. (UK), Advanced Technology for Developers, AIAA Journal, AIAA Journal on Disc, AIAA Journal?, Artif. Intell. Eng. Des. Anal. Manuf., Arti cial Intelligence in Engineering (UK), Autom. Constr., Biosystems, Bulletin of Faculty of Engineering, Tokushima University (Japan), Chung-Kuo Chi Hsueh Kung Ch'eng Hsueh Pao, Comput. Civ. Eng. (USA), Comput. Oper. Res. (UK), Computer Aided Design, Computers in Chemical Engineering, Computers in Physics, Computers & Industrial Engineering, Computers & Operations Research, Computers & Structures, Des. Stund. (UK), [264]

[10]

[240]

[376]

[107]

[55]

[474, 124, 136, 178]

[393]

[463]

[399, 111,

428, 445]

[116]

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Magnetics, IEEE Transactions on Microwave Theory and Techniques,

[13]

[280, 285, 105, 155, 181, 193]

[92]

[69]

[45]

[461, 119, 120, 121, 149]

[365]

[157]

IEEE Transactions on Neural Networks, IEEE Transactions on Power Delivery, IEEE Transactions on Systems, Man, and Cybernetics,

[186]

[227]

[194]

[114]

[20]

[262]

[18, 277]

IEEE Transactions on Systems, Man, and Cybernetics, Part B Cybernetics, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, IFIP Trans. B, Appl. Technol. (Netherlands), IFIP Transactions A, Computer Science and Technology (Netherlands), IIE Transactions,

[113, 455]

[485]

[394]

[250]

[238, 187]

[222, 67]

[34]

[213]

[425]

[205]

[63]

[341]

9

10

Genetic algorithms and CAD

Inf. Software Technol., Information Sciences, Int. J. Prod. Res. (UK), Integration, the VLSI Journal, International Journal of Circuit Theory and Applications, [208]

[237]

[340]

[254, 185]

4.3 Theses The following two lists contain theses, rst PhD theses and then Master's etc. theses, arranged in alphabetical order by the name of the school.

[66]

International Journal of Construction Information Technology, International Journal of Electrical Power Energy Systems (UK), International Journal of Electronics, [276]

[95]

[207, 17, 252, 283, 292,

177]

International Journal of Production Research, J. Compos. Mater., J. Guid. Control Dyn., J. Syst. Eng. (UK), Journal of Aircraft, Journal of Chemical Information and Computer Science, [382, 422]

[27]

[303]

[244]

[335]

[305, 307]

Journal of Computing in Civil Engineering, Journal of Optimization Theory and Applications, Journal of Structural Engineering, Konstruktion, Microcomput . Civ. Eng. (USA), Microcomputers in Civil Engineering, Microprocessors and Microprogramming, Midwest Symp Circuits Syst, Nature-Structural Biology, Neural Network World, New Electronics (UK), Nippon Kikai Gakkai Ronbunshu C Hen, Optical Engineering, Physica D, Proc. Inst. Mech. Eng. B, J. Eng. Manuf. (UK), Proceedings of the Institution of Mechanical Engineers, Part D, (Journal of Automobile Engineering), Res. Eng. Des. (USA), Struct. Optim. (Germany), Sunday Times, Synthese, Texas Instrument Technology Journal, The Guardian Newspaper, The Structural Engineer, Trans. Inst. Electr. Eng. Jpn. C (Japan), Trans. Korean Inst. Electr. Eng. (South Korea), Transaction of the Institute of Electronics, Information and Communication Engineers A (Japan), Transaction of the Institute of Electronics, Information and Communication Engineers D-II (Japan), Transactions of the ASME, Transactions of the Institute of Electrical Engineers of Japan C, Transactions of the Institute of Electronics, Information and Communication Engineers (Japan), VLSI Des., VLSI Design, total 138 articles in 100 journals [284, 488]

[198]

[306]

[81]

[317]

[484]

[211, 295]

[333]

[220]

[314]

[439]

[319]

[396]

[223]

[48]

[170]

[400]

[162]

[289]

[405]

[416]

[421]

[426]

[321]

[179]

4.3.1 PhD theses

Arizona State University,

[43]

Carnegie Mellon University,

[23]

Florida International University, Georgia Institute of Technology, Indiana University,

[282]

[258]

Rensselaer Polytechnic Institute, Stanford University,

[397]

[146]

North Carolina State University, Polytechnic University,

[477]

[173]

[469]

The Ohio State University,

[131]

The Pennsylvania State University, University of Alabama, University of California,

[137]

[217]

University of Hudders eld,

[490]

University of Illinois at Chicago, University of Iowa, University of Louisville, University of Michigan, University of Waterloo, Universite de Paris VI,

[228]

[456]

[414]

[273]

[132]

[278]

[475]

total 20 thesis in 20 schools

4.3.2 Master's theses

This list includes also \Dimplomarbeit", \Tech. Lic. Theses", etc.

[16, 449]

[200]

[122]

[28, 130]

[417]

[229]

[62, 344]

Conservatoire National des Artes et Metiers Centre Regional Associe de Grenoble, [100]

University of Dortmund, University of Genova?,

[430]

[458]

Universitat Kaiserslautern, Universitat Stuttgart,

[129]

[143]

total 5 thesis in 5 schools

Report series

11

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. AIAA, Arizona State University, Carleton University, Ecole Normale Superiore, Edinburgh Parallel Computing Centre, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Hampton University, Indian Institute of Technology, Indiana University, Linkoping University, Sandia National Laboratories, Santa Clara University, Stanford University, University of Edinburgh, University of Exeter, University of Illinois at Urbana-Champaign, University of Jyvaskyla, University of Michigan, University of Strathclyde, University of Virginia, Universitat Frankfurt, Universite McGill, [472]

[106]

[437]

[423]

[9]

[444]

[26]

[175]

[144]

[90]

[135]

[176]

[46]

[460]

[412]

[318, 349]

[478]

[434]

[436]

[103]

[216]

[313]

total 23 reports in 22 institutes

4.5 Patents The following list contains the names of the patents of genetic algorithms and CAD. The list is arranged in alphabetical order by the name of the patent.  none

12

Genetic algorithms and CAD

Authors

13

4.6 Authors The following list contains all genetic algorithms and CAD authors and references to their known contributions. Abhary, K., Abuali, Faris M., Agarwal, Reena, Agarwal, Vinod K., Aguirre, A. H., Ahmad, Imtiaz, Ahn, Hee II, Ait-Boudaoud, D., Ajjarapu, V., Akagi, Shinsuke, Alander, Jarmo T.,

[330]

[454]

[204]

[195]

[312]

[347, 393]

[308]

[98, 99]

[87]

[411]

[351, 480,

[87]

[333]

[205]

[195]

[277, 88]

[464, 353]

[74, 85]

[394]

[42]

[396]

[285]

[379]

[120, 121]

[375, 385]

[359]

[208]

[166]

[95]

[209, 253]

[309]

[97]

[9]

[17]

[96, 97]

[310]

[354, 355,

Brillowski, K., Brotherton, T. W., Brown, D. R., Brown, David R., Bullock, G. N., Burnham, K. J., Burt, S., Cabrasawan, Feb J., Cao, H. V., Carlson, Susan Elizabeth, Caruthers, James M., Catania, V., Cemes, R., Chan, Heming, Chan, K. C., Chan, King, Chan, Shu-Park, Chandrasekharam, R., Chang, R.-I.,

[81]

[278]

[210]

[354, 355,

[400]

[416]

[423]

[89, 90]

[288]

[63, 163, 165]

[272]

[30]

[359]

[92]

[427, 428, 429]

[93]

[397]

[307, 343]

[17]

[311]

[94]

[98, 99]

[279]

[216, 251,

Bennett III, Forrest H., Benten, M. S. T., Benten, Muhammad S. T.,

[44]

[47]

[55]

286, 70, 82]

[185]

[222, 452]

[307, 343]

[74, 85]

[176, 177]

[345, 350]

301]

Bentley, Peter J., Betensky, E., Bhasker, Jayaram, Bilchev, G., Biro, O., Blickle, Tobias, Blom, G. A., Bommel, P. van, Booker, Peter, Boone, G., Born, Joachim, Bouchard, D. E., Bouchard, Eugene E., Boyd, Ian D., Bradbeer, Peter V. G., Bramlette, Mark F., Branke, Jurgen, Bright, M. S., 380, 391]

[271]

378, 380, 386, 390, 391]

Ashmore, B., Atlan, Laurent, Averill, Ronald C., Axelsson, Jakob, Balio, R. Del, Ball, N. R., Banerjee, P., Banzhaf, Wolfgang, Barclay, Peter J., Bassett, Steve, Bazylevych, Roman P., Becker, Bernd,

[68, 490, 491,

492]

481, 489]

Albanna, Z., Ali, Hesham H., Allan, V. H., Altman, Erik R., Amaral, Jose Nelson, Anderson, Murray B., Andre, David, Androulakis, I. P., Anon., Areibi, Shawki, Arslan, T.,

Bentley, P. J.,

[211, 254, 101]

[207, 252,

[234]

Chapman, Colin D., Chatroux, Thierry, Chaudhury, S., Chen, C. L. Philip, Chen, C. Y. R., Chen, Ching-Dong, Chen, Jahau Lewis, Chen, M. M., Chen, R. M. M., Chen, T., Cheng, C., Cheng, Runwei, Cheu, Wen-Chin, Chi, H., Chiang, Hsiao-Dong, Chikhani, A. Y., Chincarini, A., Chipper eld, Andrew, Cho, K. H., Cho, Sung Jin, Cho, Tsu Won, Christensen, John P., Christiansen, Alan D., Chu, Chee-Hung Henry, Chu, K. H., Chun, Jang-Sung, Chung, Tae Kyung, Cioppa, A. Della, Clitherow, P., Cluitmans, L. J. M., Coello Coello, Carlos A., Cohoon, James P.,

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[206, 194]

[304]

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[62, 344]

[348]

[281]

[224]

[33]

[95]

[309]

[458, 461]

[69]

[406]

[370]

[308]

[237]

[11, 312]

[102, 398]

[225]

[362]

[78]

[288]

[408]

[322]

[11, 312]

[342, 366,

399, 103, 104, 105]

Cole, D. G., Conway, Daniel G., Coombs, Susan, Coon, Brett W., Cormier, Denis Roger, Corne, Dave, Cornejo-Rodriguez, A.,

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[214]

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14

Genetic algorithms and CAD

Coverstone-Carroll, Victoria L., Cowley, P. H., Cox, Jr., Louis Anthony, Crossley, T. R., Crossley, William A., Crossley, William Alva, Culbreth, C. T., Curatelli, F., Cusic, Rod, D'Ambrosio, Joseph G., Dasgupta, Dipankar, David, R. A., Davidor, Yuval, Davidson, J. W., Davis, Lawrence,

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[53]

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[96]

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[407]

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107, 404]

Davis, Mike, De Falco, Ivanoe, DellaCioppa, A., Della Cioppa, A., Della Cioppa, Antonio, Del Balio, R., Delmaire, H., Demaid, A., Denham, M. J.,

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Deshpande, S. M., Dhodhi, Muhammad K., Dighe, Rahul, Ding, Ying, Dobnikar, Andrej, Drechsler, Rolf,

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[356]

[55]

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286, 70, 82, 387]

Dunham, B., Duponcheele, Georges, Dyczij-Edlinger, R., Eastman, Charles M., Edwards, J. A., Eggert, H., Elias, John G., Elmakis, David, Engel, Michael V., Engst, Norbert, Ersoy, Cem,

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[149]

[45]

[52]

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[215]

[51]

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[232]

Esbensen, Henrik,

[216, 263, 40,

381, 388, 109]

Eshelman, Larry J., Estevez, Pablo A., Etter, D. M., Evans, G., Eyvazova, Z. E., Fabbricatore, P., Falco, I. De, Fang, W. Eugene, Finley, Linda, Fiorito, N., Fisher, G., Fisher, M. H., Fleming, Peter, Fogarty, Terence C., Fogel, David B., Fong, N. H. B., Fourman, Michael P., Frazer, J. H., Freeman, L. M., Fridshal, D., Friedrich, Ch. M., Friedrich, M., Fuat U ler, Gokce, Fujimoto, Yoshiji, Fujita, Kikuo, Furuhashi, Takeshi, Furuta, H., Furuya, Hiroshi, Gage, P. J., Gage, Peter J., Gao, Guang R., Gebert, Glenn A., Gemme, G., Gen, Mitsuo, George, Suju M., Geraci, M., Gero, John S., Ghosh, Joydeep, Glaskin, M., Glasmacher, Klaus, Glover, David E., Gockel, Nicole,

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[188]

[60]

[461]

[288]

[246]

[376]

[311]

Gockel, Nicole, Gold, Sonke-Sonnich, Goldberg, David E.,

[70, 82, 387] [444] [318, 349,

117, 118, 415, 138]

Goldberg, Yaron, Golobic, Janez, Goodman, Erik D., Goos, Janne, Gorges-Schleuter, Martina, Gorne, Thomas, Gottvald, A., Goulter, I. C., Graf, Jeanine, Graf, J., Graham, P., Greenwood, Garrison W., Gregory, B. A., Grierson, D. E., Gruau, Frederic C., Gu, P., Gupta, M., Gupta, Yash P., Haas, O. C. L., Haftka, Raphael T., Hahn, Song-Yop, Hajela, P., Hajela, Prabhat, Hamalainen, Ari, Hamam, Y. M., Han, Seung-Kee, Handa, Keiichi, Handa, K., Hansdah, R. C., Harik, Georges, Harley, P. J., Harris, R., Hart, William Eugene, Hase, H., Hegde, Shailesh U., Hegde, U., Heijligers, M. J. M., Hemmi, Hitoshi,

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[55] [73] [71, 374]

[148]

[119, 120, 121] [284] [65]

[408]

[358]

[47]

[316]

[69]

[64]

[377]

[122]

[210]

[161, 162]

[315]

[264]

[409, 410]

[336]

[316]

[382]

[141]

[67]

[405]

[392]

[120]

[477]

[357]

[411]

[28]

[317, 324, 123]

[112]

[116]

[46]

[195]

[353]

[461]

[281, 348]

[31]

[413]

[47] [112] [78, 179]

[10, 473, 363]

[124, 125, 126] [320]

[127] [308] [290] [321]

[57, 91, 395] [318]

[296] [259]

[217] [123]

[103, 104, 105] [416]

[13]

[322]

[277, 88]

[289]

[115, 128]

[414]

[286]

[21, 32, 36,

38, 39]

He, Axel, Hicks, M. J., Hielscher, Frank H.,

[128, 129] [406] [285]

Authors Hill, A. M., Hill, T. M., Hill, T., Hindi, K. S., Hirata, H., Hirose, A., Hirst, Tony, Ho a, Robert, Ho mann, Frank, Ho er, A., Hon, K. K. B., Honiden, S., Horrocks, D. H., Horrocks, David H., Hsiao, P.-Yung, Hsu, Y. C., Hu, Xiaobo (Sharon), Hu, Yu Hen, Huang, K., Huang, Runhe, Hughes, Mark, Hung, Shih-Lin, Hunt, J. E., Hunt, J., Huovila, Henrik, Hurson, A. R., Husbands, Phil, Hwang, Kuo-Yen, Iannuzzi, Mark, Ida, K., Ige, D. O., Iida, Seiji, Inoue, O., Inoue, Osamu, Inoue, Ishida, Ryihei, Ishida, Ryohei, Ismaeel, A. A., Ismail, H. S., Ives, R., Iwamoto, Takashi, Jaeger, E. P., Jagobs, Stefan,

15 [14]

[323]

[360]

[127]

[417, 130, 418]

[324]

[389]

[197]

[15]

[419, 420]

[33, 48, 422]

[321]

[390, 391]

[354, 378, 386]

[234]

[110, 111]

[377]

[199]

[33]

[361]

[421]

[131]

[64]

[325]

[203]

[218]

[487]

[400]

[219]

[348]

[92]

[159]

[472]

[331]

[16]

[474]

[463]

[347]

[48, 422]

[487]

[93]

[135]

[83]

Jain, Sandeep D., Jakiela, Mark J., Jakob, W., Jakobi, Nick, James-Gordon, Y., Jang, Yuongjo, Je erys, E. R., Jenkins, W. M., Jermy, G., Jess, J. A. G., Jin, Hong Lan, Jin, Lin-Ming, Johnson, Caroline, Johnson, Glen E., Johnson, J. Michael, Johnson, M., Joines, J. A., Judson, Richard S., Jung, Hyun-Kyo, Kado, Kazuhiro, Kakazu, Yukinori, Kamhawi, Hilmi N., Kammer, Daniel C., Kane, C., Kang, S. M., Kang, Sung-Mo, Kao, Cheng-Yan, Kapoor, B., Karafyllidis, Ioannis, Karr, Charles L.,

[221]

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[71, 374]

[72]

[364]

[455]

[134]

[425, 426]

[487]

[322]

[327]

[176, 177]

[367]

[113]

[84]

[272]

[328]

[135]

[362, 179]

[291]

[158]

[19]

[136]

[49, 475]

[231]

[14]

[224]

[329]

[292]

[41, 137, 138,

139, 140, 141]

Kathman, Alan D., Kazerooni, M., Keane, Martin A., Kearsley, Simon K., Khamisani, W., Khorrami, Farshad, Khosla, Pradeep K., Kilinski, M., Kim, Jin-Oh, Kim, Myunghwan, Kim, S. J., Kim, Seog-Wham, Kim, Suk Ki,

[44]

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[305]

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[142]

[455]

[76]

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[78]

Kim, Y. I., Kim, Youngtak, Kimura, Atsushi, King, E. G., King, R. E., King, R.-M., Kirokawa, Noriyasu, Kitano, H., Knickmeier, Frank, Knight, John P., Koakutsu, S., Kobes, E., Kosak, Corey, Koskimaki, Esa, Kottapalli, M. S., Koza, John R., Krishnamoorthy, C. S., Kroo, I. M., Kruiskamp, Wim, Kuga, Shinipei, Kuh, Ernest S., Kumar, A., Kumar, Anup, Kumar, R. R., Kundu, S., Kundu, Sourav, Kurbel, Karl, Kwasnicka, H., Kyuma, Kazuo, Laananen, David H., Lahdelma, Risto, Lai, L. L., Lai, Y. T., Lampinen, Jouni, Langevin, A., Laporte, E., Leclair, Steven R., Lee, E., Lee, Jinkoo, Lee, J., Lee, K., Lee, Michael A., Lee, Yuh-Sheng, Leenaerts, Domine,

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[455]

[29]

[141]

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[411]

[223]

[430]

[182]

[417, 130, 418]

[143] [18, 424]

[73]

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[175]

[116]

[50, 66]

[290]

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[382]

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[34, 150]

[13]

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[93]

[12, 106]

[471]

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[313] [466]

[19]

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[113, 132]

[473, 363]

[76]

[432]

[280]

[50, 66]

16

Genetic algorithms and CAD

Leijenhorst, D. C. van, Leitch, Donald Dewar, Lesniak, Joanna, Levitin, Gregory, Levitt, Jeremy R., Leyner, U., Li, Wei, Lienig, Jens, Lin, Chyi-Yeu, Lin, C.-S., Lin, C.-Y., Lin, Shyh-Chang, Lin, Y. L., Lin, Youn-Long, Liu, B. D., Liu, Luoping, Liu, Xingzhao,

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[255]

[30]

[51]

[294]

[419, 420]

[346]

[226, 265, 366]

[256]

[151]

[152, 153]

[182]

[103, 104, 105]

[433]

[51]

[240, 263, 434,

154, 155, 445, 446, 447, 185, 448]

[125, 126]

[262]

[10]

[55]

[110, 111]

[280]

[202]

[215]

[238, 186,

187, 449]

Lohbeck, T. K., Louis, Sushil John, Lucasius, C. B., Lucasius, Carlos B., Luchian, Henri, Lunn, Ken, Luong, L. H. S., Ly, Tai A., M, Russo, Ma, Jianhua, Maeda, K., Magele, C. A., Maher, M. L., Maher, Mary Lou, Mahotilo, K. V., Majhi, A. K., Makinen, Raino A. E., Makki, R. Z., Malgeri, M., Maniezzo, Vittorio, Mansour, M. A., Mantel, B., Mantykoski, Janne, Mao, Chi-Yu, March, S. T., Marks, Joe,

Markus, A., Markus, Andras, Mars, P., Martin, Raul San, Martin, Worthy N., Masui, T., Mazal-Tov, Shmuel, Mazumder, Pinaki,

[431]

[144, 145, 146]

[365]

[208, 147]

[17]

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[330]

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[311]

[361]

[317]

[120, 121, 149]

[150]

[20, 34]

[373]

[295]

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[52]

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[35]

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Mazumder, P., McGregor, Douglas R., McIlhagga, M., Meinzer, S., Menth, Stefan, Meyer, Jean-Arcady, Michalewicz, Zbigniew, Michielsen, E., Michielssen, E., Mill, Frank, Miller, J. F., Miller, Julin F., Mills, J. A., Minagawa, Masaaki, Mittra, R., Miyanaga, Yoshikazu, Mizoguchi, Jun'ichi,

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[224]

[232] [354, 378,

386, 390, 391]

[327]

Pak, W. H., Pakzad, S., Palmer, Charles Campbell, Pan, Tzong-Shii, Pao, Yoh-Han, Paris, William D., Parkinson, B. W., Parmee, Ian C.,

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[21, 32, 36,

[218]

38, 39]

Mohamed, S. S., Mohamed, Samir S., Mohan, S., Moin, N. H., Mollaghasemi, M., Moon, Byung-Ro, Moraga, C., Mori, Hiroyuki, Morimoto, H., Mosetti, G., Mowchenko, Jack T., Muddappa, S., Musenich, R., Nakatani, T., Nakayama, T., Nambiar, R., Nassar, K.,

Ndeh-Che, F., Nemec, Viktor, Nguyen Bui, Thang, Niklaus, J., Nishiguchi, Masato, Nomoto, Kenichi, North, J. H., Noteboom, Ron, Obayashi, Shigeru, Obradovic, Zoran, Ohmori, Kenji, Oka, K., Okino, Norio, Olson, Eric, Onder, H. H., O'Neill, M. R., Oommen, B. J., Opaterny, Thilo, Orlando, P., Orvosh, David, Ost, Alexander, Ouh-Young, Ming, Oyman, A. I_irfan, Ozdemir, E.,

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[296]

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[159]

[123]

[476, 493]

[193]

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[461]

[324]

[93]

[152, 153]

[301, 345]

[258]

[178]

[457] [399]

[22] [233, 259,

266, 269, 272, 274, 275, 276, 298,

63, 334, 369, 379, 86, 163, 164, 165, 166, 438, 167]

Parodi, R., Parry, S., Parsaei, Hamid R., Patel, J. H., Pathak, Rakesh M., Patnaik, L. M., Pearce, R., Peng, Pei-Yuan, Periaux, J., P ster, Gerd,

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[15]

Authors Pham, D. T., Pollard, T., Poloni, Carlo, Poloni, C., Porter, B., Porter, Brian, Powell, David J.,

17 [168, 169, 170]

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[467, 476, 493]

[75]

[54]

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[440, 171,

[220]

[300, 484]

[291]

[23]

[120, 121, 149]

[337]

[255]

[11]

[22]

[55]

[442]

[180, 443, 181]

[404]

[237]

[459, 468,

[340]

[71, 374]

[9]

[345]

[84]

[175]

[225]

[295]

[31]

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[57, 91, 395]

[336]

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[235, 260]

[240, 448]

[236, 268,

[444]

[149]

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[235]

[270]

[104, 105]

[114]

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[313]

Saito, H., Sakamoto, Akio,

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446, 447, 185, 448]

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Shimohara, Katsunori,

[21, 32, 36,

38, 39]

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[238, 186,

187, 449]

Salama, M. M. A., Sanderson, A. C., Sandgren, Eric, Sangolola, Bamidele A., Santiban~ez-Koref, Ivan, Sargent, P. M., Savini, A., Saxena, Ashutosh, Scha er, J. David, Schaftner, Christoph, Scherer, A., Schlageter, G., Schnecke, Volker, Schnecke, V., Schneider, Bernd, Schneider, Jerry B., Schneider, Martin, Schoenauer, Marc, Schoenauer, M., Schoenefeld, Dale A., Schwarz, Josef, Schwehm, Markus, Seals, R. C., Sefrioui, M.,

Selig, Michael S., Semmler, Klaus, Sen Gupta, Indranil, Sergeev, S. A., Sethares, William A., Seywald, H., Shahookar, Khushro,

187, 449]

301, 338, 350, 371]

299, 441]

Reinartz, Karl Dieter, Renhart, W., Renner, G., Reorda, Matteo Sonza, Reynolds, Robert G., Richards, Dana S., Richards, Gill G., Richards, R. A., Richards, Robert A, Richards, Robert A., Riopel, D.,

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Quinte, A., Radcli e, Nicholas J., Rahmat-samii, Yahya, Rajeev, S., Rajroop, P., Raman, S., RamBabu, P., Ranjithan, S., Rao, B. B. Prahlada, Rao, Harish A., Rao, Singiresu S., Rao, Vasant B., Rastogi, M., Ravichandran, B., Rawlins, Gregory J. E., Rebaudengo, M., Reddy, S. M., Reeves, Colin R.,

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18

Genetic algorithms and CAD

Takagi, Kentaro, Takahashi, Kensuke, Takanashi, Susumu, Tam, Kar Yan, Taneja, Mukesh, Tang, C. K. K., Taniguchi, N., Tanomaru, J., Tansri, H., Tanvir, Shahid, Tarantino, E., Tate, David M., Teich, Jurgen, Teliuk, Taras M., Thanailakis, Adonios, Thanedar, P. B., Tharigen, Michael, Thiele, Lothar, Thijssen, J. M., Thomson, P., Thornton, A. C., Thulasiraman, K., Tilley, Derek G., Tochinai, Koji, Toensho , H. K., Toivanen, Jari, Tomikawa, T., Tonegawa, T., Tong, Siu Shing,

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Venkataramanan, M. A., Venkatasubramanian, Venkat,

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[200]

[123]

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[454]

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[42]

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[135]

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[375, 385]

171, 172]

Tozawa, Tatsumi, Tram, Hahn, Treasurywala, Adi M., Tropsha, Alexander, Tsai, F. S., Tsao, Yi-Cheng, Tsunashima, N., Tsutsui, Shigeyoshi, Tumer, Kagan, Turton, B. C. H., Tzes, Anthony, Uchikawa, Yoshiki, Unal, Resit, Vahidov, M. A.,

Vahidov, R. M., Valveti, J. S., Vancza, Jozsef, Vancza, J., Vanderplaats, G. N., Varanelli, James M., Vasallo, G., Vasiljevic, Darko, Vazquez-Montiel, S., Vemuri, Ram, Vemuri, Ranga, Vemuri, R.,

[412, 431]

[206]

[202]

[224]

[225]

[62]

[344]

[56]

[495]

[317, 123]

[247]

[208]

[12, 106]

[30]

[331]

[472]

[114]

[326, 485, 488]

[170]

[136]

[352]

[202]

[262]

[457]

[362]

[28]

[29]

[27]

[301, 338,

350, 371]

Youssef, H., Zarubin, V. A., Zeyher, Allen, Zgierski, J. R., Zhang, B., Zheng, Weifan, Zhou, Yejin, Zimmermann, Gerhard, Zinober, A. S. I., Zucker, J.,

[345]

[80]

[250]

[437, 160]

[461]

[370]

[456]

[115, 128]

[296]

[108]

total 487 articles by 752 di erent authors

Subject index

19

4.7 Subject index All subject keywords of the papers given by the editor of this bibliography are shown next. The keywords \neural networks", \optimization", and \evolution strategies" have been omitted in this list because of their high occurrence rate. adaptive coding, adaptive lter design, aerodynamics,

[190, 191, 192] [152]

shape design,

[459, 335, 479]

470, 471, 477, 478, 480, 481, 483, 485, 488, 490, 491, 492]

shape design?, shape optimization, surfaces, uncertainty, VLSI,

[45]

[167]

[80]

[317]

[43]

[236, 299] [137, 138,

[15]

445, 446]

[402, 403]

design, manufacturing, NMR devices, VLSI, applications electronics, manufacturing, architecture CAD, automatic design, automaton nite state, bin-packing 2D, biodiversity, biomorphs, Boolean functions, Reed-Muller expansions, brachistochrone, Breeder GA, cache memory, CAD,

[241] [120, 121] [185]

[28, 32, 36,

[63]

[98, 99, 35]

[456]

[21]

[41]

[229]

[70]

[55]

[444]

[27]

[133]

[70]

[190, 192]

[103,

104, 198, 96, 102, 137, 119, 122,

124, 129, 138, 171, 173, 175, 176, 196, 87, 97, 105, 108, 117, 118, 125, 128, 139, 140, 144, 145, 160, 168, 172, 178, 181, 185, 188, 190, 109, 115, 121, 126, 130, 131, 133, 141, 142, 152, 153, 156, 158, 161, 163, 169, 174, 179, 189, 191, 192, 197, 89, 90, 91, 92, 94, 95, 100, 106, 112, 113, 114, 116, 123, 127, 136, 146, 148, 157, 159, 162, 164, 166, 170, 182, 183, 184, 186, 187, 193, 194, 195, 495, 199, 200, 201, 9, 10, 11, 12, 13, 16, 18, 19, 20, 23, 25, 26, 29, 30, 34, 461, 463, 52, 59, 60, 64, 65, 68, 69, 72, 73, 76, 77, 78, 86]

[191]

[305, 307, 343]

[185]

[203, 397, 387]

[494, 469,

classi ers design, clique cover, clustering, coding real, comparison, branch and bound, classical methods, damped least squares, heuristic method, heuristics, in distribution system design, [10]

[37]

[195]

[226, 265]

[101]

[47]

[71]

[486]

[77]

[210]

[81]

[17]

[42, 67]

482, 483]

[58]

[316]

wiring, CAD/ electronics, CAD?, CAM, channel routing, chemical process optimization, chemistry drug design, physical, polymer design, chromosome 2D bitmap, circuit design, classi er systems,

[217, 224]

[83]

[432]

[110, 111,

[271, 273]

[33]

[45]

[22]

[85]

[149]

[120, 121, 84]

engineering, lters, framework, geometry, hardware design, hydrocyclone, IC, laminates, lay out design, machine parts, manipulators, medicine, micromechanics, modeling, nesting, opamps, optical devices, optics, optimization, preliminary design, process planning, review in engineering, shape,

[54]

[24]

38, 39, 74, 82]

[387]

[49, 56]

202, 14, 31, 40, 57, 62]

[51]

[135]

[296]

[484, 487]

180, 93, 88, 154, 177, 101, 155, 193,

[17]

communication link speed design,

[494, 458,

461, 462, 465, 466, 467, 468, 469,

[150]

[472, 331,

476, 478, 359, 486]

transonic, aesthetics bridge design, analysing GA, application,

CAD adaptive, buildings, civil engineering, conceptual design, conseptual design, controllers, digital circuits, distribution system, drugs, electromagnetic devices, electromagnetics, electronics,

[174]

[48]

[120]

[50, 66]

[61]

[147, 44]

[494, 134]

[53]

[151]

[254]

[174]

[79]

[51]

[284]

[376]

[165]

[473, 75, 489]

in feedback controller design, [315]

20

Genetic algorithms and CAD simulated annealing,

[181, 188, 177,

193, 207, 25, 245, 252, 261, 295]

computational geometry, computer graphics, computer graphics?, computer-aided design, concurrent engineering, control feedback, manipulator, spacecraft, controller turbine, controllers fuzzy, crossover cycle, permutations, curved surfaces, curves, DARWIN, data ordering problem, databases components, design, design,

[109, 158, 83]

[65]

[324]

[60]

[282]

[315]

[221]

[303]

[69]

[139, 15]

[177]

[222]

[54]

[200]

[50, 66]

[387]

[400]

[208, 270]

[405, 408,

421, 440, 394, 430, 415, 146, 164,

300, 316, 324, 325, 360, 363, 364]

design conceptual, layout, printed circuit boards, shape,

[395]

[73]

[87, 177, 234]

[187]

[256, 326,

[377]

[399, 447,

185, 186, 14, 366]

[225]

[481]

[148, 184]

[441]

[217, 220,

[157, 458,

[175, 125, 126,

463, 55, 470, 306, 317, 474, 485, 80]

engineering design,

[290]

[201, 282, 63,

334, 68, 358]

[180]

[129]

[187, 449]

[449, 239,

engineering design?, ergonomy, estimation, evolution strategies,

[319]

[168] [225]

[198, 119,

121, 149, 362, 377]

[17]

[32, 36, 38, 39]

[239]

[279]

[28]

CAD, evolution strategy, evolutionary strategies, experimental design,

[143] [78]

[209, 253]

[441, 236,

268, 299, 304, 351]

[389]

[377]

[171]

[173, 120,

engineering aerospace,

[171,

106, 116, 136, 493, 12, 22, 459, 26,

[132]

[71]

[167, 248,

276, 284, 45, 317, 326]

construction,

[419, 420,

242, 462]

design,

[400, 166,

249, 259, 266, 267, 269, 272, 274,

[490]

[122, 87, 89,

494, 123, 136, 162, 206, 212, 11, 13,

[50, 66]

144, 141, 161, 163, 203, 92, 112,

275, 276, 298]

design theory, electric power, electrical, electronic, electronics, machine, mechanical,

[27]

radio,

structural,

[30]

438, 206, 212, 219, 233, 242, 246,

[374]

[9]

461, 52]

113, 127, 149, 170]

CAD, chemical, civil,

[367]

69, 362, 73, 78, 376, 489]

[362]

354, 375]

digital, HDL, HDL programs, PCB, PCB assembly, embedded systems, real-time, EnGENous, engineering,

[107, 41]

90, 95, 225, 51, 59, 477, 480, 481,

303, 471, 472, 473, 476, 335, 478,

331, 335, 353, 359, 362, 78, 488]

224, 370]

[323]

479, 353, 359, 75, 80, 84]

[411]

design optimization, desing shape, diagnostics, diesel engines, digital lters, diversity, drug design,

mining, petroleum, pipes, plastics, power,

[123]

43, 288, 46, 464, 53, 466, 467, 468,

[46]

software, VLSI,

easthetics, economics design, EDGA, electric machines, electromagnetics, electronics, 3-valued transistor, ampli ers, analog, ASIC, CAD, channel routing, design,

[318, 349]

[114]

[159]

[279]

[207, 252, 387]

[481]

[143, 23, 242,

25, 246, 267, 480, 482]

Taguchi, expert systems, rule based, facility layout design, factorial analysis, factorial design, lter design, lters, digital, FIR, nite state machines, tness fuzzy, FMS layout, formal languages, fuzzy logic, fuzzy rules, fuzzy systems design, GA parameters, GAANT, GALAPAGOS, GAPE,

[244] [168]

[488] [313]

[236]

[351] [407, 153]

[102]

[35] [189, 98, 99]

[211]

[73]

[247]

[444] [53]

[432]

[255]

[135]

[86] [433]

[104, 105]

Subject index

21

GASP, gene size 2880bits, generations 1000, 50;100, genetic programming,

[447]

[432]

[250]

[213]

[423, 214, 38,

74, 85]

Genie, GLEAM, global optimization, GPLACE, graph coloring, graphs, partitioning, graps partitioning, guns, half-tone pattern design, hardware architecture design, hardware design, helicopters, hybrid, GRASP, hill-climbing, linear programming, local search, neural networks, simulated annealing,

[399]

[71]

[351]

[58]

[101]

[101]

[257]

[228]

[179]

[398]

[385, 389]

[193]

[43]

[228]

[278]

[283]

[456]

[217]

[31]

[152, 457,

263, 283, 293, 309]

tabu search, hydrocyclone, hydrodynamics airfoil design, transonic, IIR lters, image processing 3D shape estimation, fractals, immune networks, engineering design, implementation C,

[278]

[137, 138, 107]

[288]

[288]

[152]

[37]

[444]

[363]

[379]

[105, 422]

Cray Y-MP8/864, Hypercube, MasPar, MIMD, Occam, Pascal, Smalltalk-80, transputer, transputers, interactive, interactive GA, interval arithmetics, inverse problems aerodynamic, laminates, layout design,

[131]

[105]

[444]

[395, 217]

[368]

[461]

[456]

[361, 368]

[395]

[433]

[65]

[351]

[465, 486]

[92, 55]

[419,

420, 409, 410, 414, 103, 437, 417,

443, 105, 424, 160, 181, 185, 455, 416, 130, 418, 422, 433, 154, 169, 450, 451, 155, 452, 453, 199, 213, 16, 222, 18, 241, 34, 281, 284, 302, 341, 348, 382]

layout design area optimization, dynamic, facility, FMS, nesting, networks, petroleum site, shop job, VLSI,

[235]

[262]

[457, 291, 340]

[247]

[356]

[412, 431]

[367]

[456]

[427, 428,

240, 384]

layout design?, logic, LSI design, machine learning, macro cell layout, manipulator design, manipulators single link, manufacturing, cell design, layout design, plastics, process planning,

[309, 346]

[17]

[290]

[131, 482]

[444]

[401, 142]

system design, maximal clique, medicine drug design, radiotherapy, meta GA, microprogramming, Monte-Carlo, mould design, nesting, network bisection, network design, networks layout design, neural networks, back propagation, design,

[336]

[101]

[273] [47]

[445, 446]

[311] [191]

[27]

[422, 356] [181]

[404]

[431] [131, 60, 72]

[77]

[423, 435,

436, 442, 209, 221, 223, 225, 230,

237, 253, 264, 287, 310, 314, 332, 352, 373, 392]

sparse, teaching, topology design, training, weights, news design, niche, NMR, node partitioning, optical design, Zemax, optics, CAD, design, lters, lens design, telescopes, optimization,

[237] [320]

[227, 320]

[223, 310] [217]

[289] [135]

[119, 121]

[101] [396]

[250]

[198]

[147, 79] [44, 365]

[174]

[357] [61]

[137, 124,

196, 394, 97, 140, 160, 172, 178,

190, 163, 191, 192, 450, 451, 197, [221]

[29, 382]

[328, 330]

[247]

[76]

[151]

127, 10, 376]

optimization CAD, combinatorial, constrained, GA,

[46] [181]

[269]

[244]

22

Genetic algorithms and CAD

global, multiobjective, nesting, Pareto, placing, structural, parallel GA,

[217, 250]

discrete optimization in structural design, training neural networks, robotics, design, manipulator design, mobile, path planning, routing, [306]

[312, 69]

[310]

[422, 411, 48]

[401, 142, 100]

[353, 69, 377]

[312]

[58]

[81]

[242]

[23]

[105, 424,

434, 455, 91, 100, 444, 215, 217,

288, 293, 361, 368, 75, 486]

parallel GA adaptive, p4, workstation network, pattern recognition, PCB design, permutation crossover, physical chemistry, physics molecular, optics, particle, PLA, placement, planning electronics, population size, 10, 100, 20-60, 400, Probe-B Spacecraft, problem state assignment, process planning, production economics, protein folding, protein folding?, proteins, QSAR, QSPR, regression, review, designing neural networks,

[100]

[186, 449, 40,

309]

VLSI,

[384]

[413, 280,

308, 333]

[55]

[154]

[131]

[197]

[240]

[135]

[224]

[147, 396, 250]

[458, 461]

[207, 252]

[399]

[28]

[441]

wiring, rule based systems, fuzzy, rules, SAGA, SAT, scheduling, search fuzzy controlled, shape design,

[24]

[488]

[326, 485]

[158]

[263]

[101]

[444, 193]

[488]

[493, 495,

459, 460, 463, 464, 472, 473, 474,

476, 479, 483, 486, 489]

shape design 3D, signal processing lter design, hardware,

[482]

[406]

[354, 355,

380, 391]

[432]

simulated annealing,

[89]

[417, 130,

418, 152, 342]

[175]

[213]

[22]

[88]

[19]

[382]

[135, 370]

[220]

[224]

[271]

[271]

[271]

[421]

[310]

simulation

ow, software design, sonar active tracking, standard cells layout, standard-cell placement, statistical design, statistics responce surface, structural design, survey VLSI design, system design,

system identi cation, tabu search, telecommunications layout design, link speed design, network design, topology design, testing, text book VLSI design, tolerances, trac rail, trajectory design spacecraft, transportation network design, trusses, TSP,

[136]

[290]

[232] [402, 403]

[258, 361] [454]

[179, 254]

[338]

[132, 113]

[346]

[303]

[248] [11] [181, 444,

228, 244, 368]

tutorial CAD, lter design, UK Plymouth, VLSI,

[107] [439]

[166] [115, 154, 94,

155, 199, 14]

CAD, channel routing, design,

[176, 93]

[238, 57] [428, 413,

416, 444, 215, 218, 16, 228, 238,

252, 265, 279, 280, 283, 295, 297, 302, 62, 308, 322, 329, 333, 337, [76]

338, 339, 344, 345, 347, 350, 355, 70, 366, 371, 372, 378, 380, 381,

[205]

[52]

[278]

[345]

386, 388, 390, 391]

design?,

oorplanning, FPGA, high-level synthesis, layout design,

[342]

[350] [243, 280] [297]

[429, 448,

278, 384]

[383]

[304]

[425, 426]

[366]

macrocell layout, power optimization, routing, testing, VLSI design,

[128] [380, 391]

[111] [347]

[445,

446, 105, 109, 91, 182, 207, 211,

214, 229, 231, 240, 254, 257, 277, [369]

57, 327, 393, 368]

Subject index VLSI design cell placement, channel routing,

oorplan area, gate matrix layout, high level synthesis, high-level synthesis, macro cell layout,

23 macro cells, MCM, module orientation, optimization, partitioning, Reed-Muller expressions, [40]

[321]

[395, 226] [260]

[204] [193]

[285]

[263]

[311]

[245, 261]

[234]

[301]

[434,

31, 293]

[243]

VLSI design/Reed-Muller expressions, VLSI design?, wind turbines, [286]

[292]

[216,

251]

routing,

software, standard cell placement, standard-cell placement,

[294]

[59]

[110, 202]

24

Genetic algorithms and CAD

4.8 Annual index The following table gives references to the contributions published annually. 1963, 1971, 1973, 1982, 1985, 1986, 1987, 1988, 1989, 1990, 1991,

167, 439, 170, 493, 441, 442, 182, 183, 184, 444, 448, 186,

[405]

187, 449, 193, 452, 453, 194, 195, 454, 495, 199, 456, 200, [419]

201, 202, 457]

1994,

[420]

[406, 407]

218, 219, 16, 17, 220, 221, 222, 223, 18, 224, 225, 19, 226, 20, 227, 21, 228, 229, 230, 231, 232, 233, 22, 459, 234, 460,

[409, 410]

235, 236, 23, 237, 238, 239, 240, 241, 24, 242, 243, 25, 244, 26, 245, 27, 246, 247, 248, 249, 28, 29, 250, 251, 252, 253,

[414]

30, 254, 31, 32, 33, 255, 34, 35, 256, 36, 257, 258, 259, 260, 37, 261, 262, 263, 264, 38, 265, 39, 266, 267, 268, 40, 269,

[399, 402, 403, 427, 143]

[103, 104, 110, 198]

270, 271, 272, 273, 41, 274, 275, 276]

1995,

[96, 102, 111, 408, 421, 137, 428, 437,

296, 465, 297, 298, 53, 466, 467, 54, 55, 468, 56, 57, 299, 469, 300, 301, 302, 470, 58, 59, 303, 304, 305, 306, 471, 60,

[401, 119, 122, 124, 129, 417, 138, 429,

61, 307, 62, 472, 308, 309, 310, 63, 311, 312, 313, 314, 64,

171, 173, 175, 176, 443, 445, 446, 447, 196]

315, 316, 317, 318, 65, 319, 473, 320, 321, 322, 323, 324, 325, 474, 326, 327, 328, 475, 329, 330, 331, 332, 66, 333, 334, 476,

[87, 394, 93, 97, 398, 105, 108, 413,

335, 336, 337, 338, 339, 340, 341, 477, 342, 343, 344, 345,

117, 118, 120, 125, 128, 423, 424, 425, 426, 139, 140, 144,

[88, 107, 109, 115, 121, 126, 416, 130,

346, 347, 348, 349, 478, 479, 350, 67, 351, 480, 352, 393]

1996,

418, 131, 422, 132, 133, 141, 142, 430, 147, 152, 153, 433,

[481, 353, 354, 68, 355, 69, 356, 70, 357, 71, 358, 359, 360, 361, 362, 363, 72, 364, 73, 74, 365, 366, 367, 368, 369, 75, 482, 483, 484, 370, 76, 371, 77, 372,

154, 156, 435, 158, 161, 163, 169, 494, 174, 177, 179, 189,

373, 485, 374, 78, 375, 79, 376, 377, 80, 378, 379, 380, 81,

191, 192, 450, 451, 197]

1993,

[277, 278, 279, 42, 280, 281, 461, 282, 43, 283, 44, 284, 285, 286, 462, 45, 287, 288, 46, 289, 47, 290, 463, 48, 291, 49, 292, 50, 293, 51, 294, 464, 295, 52,

440, 180]

145, 434, 160, 168, 172, 178, 181, 185, 188, 190, 455]

1992,

[204, 205, 206, 207, 208, 209, 9, 210, 10, 211, 212, 458, 11, 213, 214, 12, 215, 216, 13, 217, 14, 15,

486, 82, 381, 382, 487, 83, 84, 383, 85, 384, 488, 385, 489, 386, 490, 387, 388, 389, 86, 390, 491, 391, 492]

[203, 89, 90, 91, 395, 92, 94, 396, 95, 397, 98, 99, 100, 101, 106, 400, 404, 411, 112, 412, 113, 114, 116, 415, 123, 127, 134, 135, 136, 431, 146, 432, 148, 149, 150, 151, 155, 436, 157, 159, 162, 164, 165, 166, 438,

1997,

[392]

Geographical index

25

4.9 Geographical index The following table gives references to the contributions by country.                     

Australia: [452, 13, 222, 20, 34, 284, 297, 330, 352] Austria: [120, 121, 149] Azerbaithzan: [60] Canada: [437, 160, 162, 182, 193, 195, 226, 278, 309, 313, 336] Chile: [287] Czech Republic: [119, 120, 121, 58, 368] Denmark: [109, 216, 263, 40] Finland: [203, 35, 471, 320, 478, 351, 480, 481, 73, 489] France: [423, 100, 264, 466, 470] Germany (including former DDR): [419, 420, 143, 129, 93, 128, 115, 430, 444, 209, 216, 15, 242, 251, 253, 286, 293, 310, 65, 70, 71, 358, 77, 372, 374, 81, 83, 384, 387, 392] Greece: [292] Holland: [147, 208, 50, 66, 365] Hong Kong: [450, 451, 304, 383] Hungary: [151, 256] India: [175, 395, 101, 204, 211, 241, 254, 31, 293, 295, 340] Israel: [401, 51] Italy: [413, 121, 493, 458, 227, 461, 283, 288, 467, 468, 311, 476, 335, 479, 75, 486] Japan: [417, 93, 130, 158, 411, 112, 123, 159, 186, 187, 449, 495, 200, 201, 16, 21, 238, 24, 249, 28, 29, 32, 36, 37, 38, 39, 281, 290, 463, 465, 472, 317, 319, 321, 324, 474, 327, 331, 348, 357, 361] Kuwait: [285, 347, 393] Mexico: [61] P. R. of China: [225, 346]

           

Poland: [332] Russia: [80] Saudi Arabia: [207, 252, 301, 338, 345, 350] Singapore: [326, 485, 488] Slovenia: [314] South Korea: [179, 308, 362, 76, 78] Sweden: [89, 90] Switzerland: [89, 375, 385] Taiwan R.o.C.: [194, 202, 10, 224, 234, 27, 280] Turkey: [232] Ukraina: [279, 373] United Kingdom: [426, 168, 422, 153, 156, 435, 163, 169, 98, 99, 412, 431, 436, 164, 165, 166, 438, 167, 170, 441, 9, 17, 233, 460, 236, 239, 243, 244, 247, 33, 255, 259, 266, 268, 269, 272, 274, 275, 276, 42, 462, 289, 47, 48, 52, 296, 298, 53, 54, 56, 299, 302, 63, 64, 316, 323, 325, 334, 354, 68, 355, 69, 360, 72, 364, 367, 369, 378, 379, 380, 487, 386, 490, 389, 86, 390, 491, 391, 492]

 United States: [414, 399, 402, 403, 427, 103, 104, 137, 428, 180, 138, 429, 171, 173, 176, 443, 445, 446, 447, 87, 105, 117, 118, 139, 140, 144, 145, 434, 178, 181, 185, 455, 88, 107, 416, 131, 132, 141, 154, 174, 177, 95, 397, 106, 404, 112, 113, 114, 415, 134, 135, 146, 155, 442, 183, 184, 448, 453, 454, 456, 457, 205, 206, 210, 212, 11, 213, 214, 12, 215, 217, 14, 218, 219, 221, 19, 228, 229, 230, 231, 22, 235, 23, 237, 240, 25, 26, 245, 246, 248, 30, 257, 258, 260, 261, 262, 264, 265, 267, 270, 271, 273, 41, 277, 282, 43, 44, 285, 45, 46, 294, 464, 55, 57, 469, 59, 303, 305, 306, 307, 312, 315, 318, 473, 328, 329, 333, 337, 339, 341, 477, 342, 343, 344, 349, 67, 353, 356, 359, 363, 74, 366, 482, 370, 376, 377, 381, 382, 84, 388]  Unknown country: [150]

 Yugoslavia: [79]

26

Genetic algorithms and CAD

Chapter 5

Permuted title index The words of the titles of the articles are shown in the next table arranged in alphabetical order. The most common words have been excluded. The key word is shown by a disk () in the title eld with the exception that it is omitted when appearing as the rst word of the title after shown keyword. The other abbreviation used to compress titles are shown in appendix A. [157] absorbers Design of lightweight, broad-band microwave  using GAs [370] Abstract Appl. of GAs to de novo design of therapeutic peptides  of a poster] [26] Abstract Multidisciplinary design opt. using GAs  only] [458] acceleratori Ottimizzazione di cavita RF per  di particelle [86] across The development of a dual-agent strategy for ef cient search  whole syst. eng. design hierarchies [273] actinomycin Computer-assisted drug design: GAs and structures of molecular clusters of aromatic hydrocarbons and  D-deoxyguanosine [392] activation Using gen. eng. to nd modular structures and  functions for architectures of arti cial neural networks [52] active The design of  sonar plot-association gates using a GA [178] actively Opt. placement of actuators in  cntr. structures using GAs [112] actuators GAs for placing  on space structures [178] { Opt. placement of  in actively cntr. structures using GAs [407] adaptive A survey of IIR  ltering alg. [292] { An  GA for VLSI circuit partitioning [384] { An  par. GA for VLSI-layout opt. [139] { Design of and  fuzzy logic cntr. using a GA [389] { Evolving  computer syst. [414] { Experimentation with an  search strategy for solving a key-board design/con guring problem [360] { Form/function/cost tradeo s through  search [152] { Gen. and annealing appr. to  digital ltering [153] { Gen. and learning automata alg. for  lter design [185] { Macro-cell and module placement by gen.  search with bitmap-represented chromosome [34, 150]  design using a GA [217]  global opt. with local search [259]  search and eng. design [369]  search strategies to maintain diverse global search for preliminary and whole syst. design [275]  search techniques for decision support during preliminary eng. design [274]  search tools and their integration with eng. design [374] { Partial automated design opt. based on  search techniques [406] { Recursive  lter design using an  GA [233] { The impl. of  search tools to promote global search in eng. design [266] { The integration of  search with current eng. design practice [190] adaptive-coding A multi-stage  GA for design appl. [209] adaptively Designing neural networks by  building blocks in cascades [472, 331] aerodynamic Appl. of GA to  shape opt. [465] { GA for  inverse opt. problem

[459, 335] { GAs appl. to the  design of transonic airfoils [467] { Hybrid GA for multi objective  shape opt. [486] { Investigating a par. breeder GA on the inverse  design [493]  shape opt. by means of a GA [476]  shape opt. by means of hybrid GA [75] { Par. isation of GA for  design opt. [466] { Robust GAs for opt. problems in  design [84] aerospace GA opt. for  electromagnetic design and analysis [46] { New appr. to opt. in  conceptual design [317] aesthetic Appl. of GA to  design of bridge structures [96] Aircraft A Comparative Evaluation of Search Methods Appl. to Parametric Design of  [97] { GAs in Parametric Design of  [288] airfoil A par. GA for transonic  opt. [471] { The reconstruction of an  in 2D potential ow using a GA on a par. computer [479] { Transonic  design by means of a GA [459, 335] airfoils GAs appl. to the aerodynamic design of transonic  [359] { Navier-Stokes/gen. opt. of multi-element  [137] air-injected Analysis and opt. of an  hydrocyclone [138] { Chapter 29, Gen. alg. based design of an  hydrocyclone [107] { Chuck Karr and the design of an  hydrocyclone [41] { Design of an  hydrocyclone using a GA [140] Air-Injected Hydrocyclone Opt. via GA [25] algebraic GAs versus simulated annealing { satisfaction of large sets of  mechanical design constraints [295] algorithm-based A gen.  circuit partitioner for MCMs [135] { A gen.  method for docking exible molecules [382] { Gen.  appr. to cell composition and layout design problems [212] { Gen.  structural topology design with compliance and manufacturability considerations [320] algorithmit Geneettiset  neuroverkkojen opetuksessa ja rakenteen suunnittelussa [159] allocation Appl. of a GA to meter  in electric power syst. [322] { High-level synthesis sch. and  using GAs [241] { Inspection  in manufacturing syst. : A GA appr. [393] { Integrated sch. ,  and module sel. for design-space exploration in high-level synthesis [113] allotment Opt. tolerance  using a GA and truncated Monte-Carlo simulation [176] Analog component placement by GAs | part I: Partitioning [290] { Polycell placement for  LSI chip designs by GAs and tabu search [177] Analogue placement by formulation of macrocomponents and gen. partitioning [66] analogue circuit DARWIN:  synthesis based on GAs

27

28 [84] analysis GA opt. for aerospace electromagnetic design and  [137]  and opt. of an air-injected hydrocyclone [152] annealing Gen. and  appr. to adaptive digital ltering [309] { Opt. feeder routing and opt. substation sizing and placement using guided evol. simulated  [455] { Stepwise-overlapped par.  and its appl. to oorplan design [224] { Using an  GA to solve global energy minimization problem in molecular binding [303] appearing GA appr. for opt. cntr. problems with linearly  controls [337] application A gen. appr. to test  time reduction for full scan circuits [142] { A Multi-Pop. GA and its  to Design of Manipulators [28] { A study on  of GA to automatic placement of parts on printed circuit boards [197] { An  of GAs to solve the layer assignment problem in multi chip modules [230] { Evol. design of  tailored neural networks [165] { Evol. techniques and their  to eng. design [211] { GA for embedding a complete graph in a hypercube with a VLSI  [159]  of a GA to meter allocation in electric power syst. [59]  of a GA to wind turbine design [437]  of GAs to the keyboard opt. problem [304]  of GA for responce surface modeling in opt. statistical design [206]  of GA for the support location opt. of beams [317]  of GA to aesthetic design of bridge structures [324]  of GA to design of arti cial ground [332]  of GA to neural networks design [296]  of GAs in sliding mode design [370]  of GAs to de novo design of therapeutic peptides [Abstract of a poster] [87]  of gen. based alg. to opt. capacitor placement [279]  of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area method [123]  of the GA to easthetic design of dam structures [263] { SAGA: a uni cation of the GA with simulated annealing and its  to macro-cell placement [367] { Spacial reasoning with GAs, An  in planning of safe liquid petroleum gas site [455] { Stepwise-overlapped par. annealing and its  to

oorplan design [191] applications A GA for mixed-parameter design  [190] { A multi-stage adaptive-coding GA for design  [134] { Design  of GAs [101] { GA for node partitioning problem and  in VLSI design [468] { GAs  in computational uid dynamics [472, 331]  of GA to aerodynamic shape opt. [429] { Opt. by simulated evol. with  to standard cell placement [487] { Two  of GAs to component design [435, 436] application-speci c Designing  neural networks using the structured GA [314] { Evol. design of  neural networks: A gen. appr. [96] Applied A Comparative Evaluation of Search Methods  to Parametric Design of Aircraft [453] { GA opt.  to variations of the unequal area facilities layout problem [47] { GA  to radiotherapy treatment planning [459, 335] { GAs  to the aerodynamic design of transonic airfoils [366] { GAs  to the physical design of VLSI circuits: A survey [423] { Gen. prog.  to neural network design [294] { The GA  to gate sizing [88] Applying GAs to the state assignment problem: a case study [193]  simulated evol. to high level synthesis [166]  the GA to design problems: Progress at the Plymouth Eng. Design Center [376] { Selecting and  distribution opt. methods [132] approximated Tolerance opt. using GA and  simulation [271] approximation Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function  [200] { Polygonal  of closed curve by GA [164] arch The concrete  dam, An evol. model of the design process [289] Architects build on Darwin

Genetic algorithms and CAD architecture-altering Use of automatically de ned functions and  operations in automated circuit synthesis using gen. prog. [392] architectures Using gen. eng. to nd modular structures and activation functions for  of arti cial neural networks [235] area A GA for oorplan  opt. [279] { Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning  method [260] { Floorplan  opt. using GAs [453] { GA opt. appl. to variations of the unequal  facilities layout problem [62] { Perf. and  opt. of VLSI syst. using GAs [344] { Perf. and  opt. of VLSI syst. using GAs [312] arm Multiobjective design opt. of counterweight balancing of a robot  using GAs [273] aromatic Computer-assisted drug design: GAs and structures of molecular clusters of  hydrocarbons and actinomycin D-deoxyguanosine [352] arti cial A preliminary study on designing  neural networks using co-evol. [324] { Appl. of GA to design of  ground [72] { Encoding scheme issues for open-ended  evol. [392] { Using gen. eng. to nd modular structures and activation functions for architectures of  neural networks [122] arti cial intelligence Turbine preliminary design using  and numerical opt. [180] ASIC An evol. -based appr. to partitioning  syst. [115] assembly Chip  in the PLAYOUT VLSI design syst. [197] assignment An appl. of GAs to solve the layer  problem in multi chip modules [88] { Applying GAs to the state  problem: a case study [277] { Designing GAs for the state  problem [261] { MCM layer  using gen. search [231] { State  for low-power FSM synthesis using gen. local search [408] assistance Knowledge based  of gen. search in large design space [218] associative memories Modular scheme for designing special purpose  and beyond [61] astronomical Design of  telescopes of two mirrors using GA in the stage of opt. [449] attempt An  to solve channel routing using GA [430] Auslegung eines Rechnernetzwerkes mit minimalem Kommunikationsaufwand mittels evol. arer Algorithmen [153] automata Gen. and learning  alg. for adaptive lter design [36] automated Evol.  hardware design syst. with HDL [364]  design knowledge [74]  WYSIWYG design of both the topology and component values of electrical circuits using gen. prog. [374] { Partial  design opt. based on adaptive search techniques [21] { Production GAs for  hardware design through an evol. process [85] { Use of automatically de ned functions and architecture-altering operations in  circuit synthesis using gen. prog. [43] { Using GAs as an  methodology for conceptual design of rotorcraft [28] automatic A study on appl. of GA to  placement of parts on printed circuit boards [24] { An evol. method for  wire routing [264]  de nition of modular neural networks [15]  design of hierarchical fuzzy cntr. using GAs [39]  hardware design with an evol. process [85] automatically Use of  de ned functions and architecture-altering operations in automated circuit synthesis using gen. prog. [18] Automating the layout of network diagrams with speci ed visual organization [372] automation A GA for VLSI physical design  [371, 338] { VLSI Physical Design  Theory and Practice [77] back propagation Usage of  networks in a CAD/CAM syst. [312] balancing Multiobjective design opt. of counterweight  of a robot arm using GAs [279] basis Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the  of scanning area method [240] beam Gen.  search for gate matrix layout [448] beam search Gen.  for gate matrix layout [206] beams Appl. of GA for the support location opt. of  [318] behavior Human  computation, and the design of manufacturing syst.

[85]

Permuted title index [444] Beitrage Massiv par. e genetische Algorithmen,  zum Tag der Informatik Erlangen 1993 [253] binary Evol. structuring of neural networks by solving a  problem [224] binding Using an annealing GA to solve global energy minimization problem in molecular  [316] Biodiversity in design via Internet [420] biological Opt. of the layout of trusses combining strategies based on Mitchell's theorem and on the  principles of evol. [133] Biomorphs Designing  with an Interactive GA [185] bitmap-represented Macro-cell and module placement by gen. adaptive search with  chromosome [417, 418] Block placement by improved simulated annealing based on GA [209] blocks Designing neural networks by adaptively building  in cascades [329] Boolean Improved technology mapping using a new appr. to  matching [17] Boolean functions Using a GA for opt. zed polarity Reed-Muller expansions of  [284] branched Evol. prog. for design of rectilinear  networks [486] breeder Investigating a par.  GA on the inverse aerodynamic design [317] bridge Appl. of GA to aesthetic design of  structures [157] broad-band Design of lightweight,  microwave absorbers using GAs [415] brothers The Wright  GAs, and the design of complex syst. [78] brushless Opt. pole shape design for the reduction of cogging torque of  DC motor using ES [195] cache A novel methodology using GAs for the design of caches and  replacement policy [195] caches A novel methodology using GAs for the design of  and cache replacement policy [77] CAD/CAM Usage of back propagation networks in a  syst. [481] cam Improving design of  shape used in valvetrain of internal-combustion engine using a GA [480] camshaft Shape opt. of diesel engine  by GA [87] capacitor Appl. of gen. based alg. to opt.  placement [95] capasitor Opt.  placement in distribution syst. by GA [179] capasitor-driven Opt. design of  coil gun [209] cascades Designing neural networks by adaptively building blocks in  [64] cases Evolving design  [458] cavita Ottimizzazione di  RF per acceleratori di particelle [461] cavity Headway in  design through GAs [109] cell A GA for macro  placement [445] { A Gen. Appr. to Standard  Placement Using MetaGenetic Parameter Opt. [382] { GA-based appr. to  composition and layout design problems [328] { Manufacturing  design using an integer-based GA [321]  placement by GA [429] { Opt. by simulated evol. with appl. to standard  placement [427] { Esp: A new standard  placement package using simulated evol. [447] { Gasp - a GA for standard  placement [446] { Standard  Placement and the GA [94] { Standard  Routing Opt. Using A GA [154, 155] { Wolverines: standard  placement on a network of workstations [390] cell-based Structural synthesis of  VLSI circuits using a multi-objective geentic alg. [386] { Structural synthesis of  VLSI circuits using a multiobjective GA [378] { Structural  VLSI circuit design using a GA [330] Cell-formation using GAs [166] Center Applying the GA to design problems: Progress at the Plymouth Eng. Design  [271] Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [308] channel Genrouter: a GA for  routing-problems [238] { Modi ed gen.  router [186] channel routing An appr. to  using GA [449] { An attempt to solve  using GA [57] { An extended EP alg. for VLSI  [395] { Extended distr. GA for  [91] { Par. GA for 

29 [187] [226] [271]

{ Restrictive  with evol. prog. channel routing problem New GA for the  Chapter Cerius2 Release 1.6, Drug Discovery

Workbench QSAR+ User's Reference,  16: Introduction to gen. function approximation [491]  12. The Evol. of Solid Object Designs using GAs [138]  29, Gen. alg. based design of an air-injected hydrocyclone [265] chennel routing A GA for  in VLSI circuits [197] chip An appl. of GAs to solve the layer assignment problem in multi  modules [115]  assembly in the PLAYOUT VLSI design syst. [129] Chip-Assembly Strategien bei der Layout-Synthese nach Floorplan-Vorgaben [185] chromosome Macro-cell and module placement by gen. adaptive search with bitmap-represented  [107] Chuck Karr and the design of an air-injected hydrocyclone [295] circuit A GA-based  partitioner for MCMs [292] { An adaptive GA for VLSI  partitioning [203] { GA ja piirisimulointi [GA and  simulation] [93] { GAs and VLSI  design [214]  synthesis through gen. prog. [278] { Towards opt.  layout using advanced search techniques [85] { Use of automatically de ned functions and architecture-altering operations in automated  synthesis using gen. prog. [215] { VLSI  synthesis using a par. GA [337] circuits A gen. appr. to test appl. time reduction for full scan  [74] { Automated WYSIWYG design of both the topology and component values of electrical  using gen. prog. [14] { GA based design opt. of CMOS VLSI  [182] { GAs for the opt. of integrated  synthesis [354] { Gen. synthesis techniques for low-power digital signal processing  [391] { Gen. synthesis techniques for low-power digital signal processing  [276, 167] civil The GA and  eng. design [79] classical Comparison of the  dumped least squares and GA in the opt. of the doublet [210] Classi er design using EP [482] classi er system A learning  for three-dimensional shape opt. [483] { Three-dimensional shape opt. utilizing a learning  [469] Classi er System Zeroth-Order Shape Opt. Utilizing a Learning  [494] classi er systems Learning  in design opt. [200] closed Polygonal approximation of  curve by GA [362] { Shape opt. of  slot type permanent magnet motors for cogging torque reduction using ES [327] cluster Design of a compact  structure by using GAs [273] clusters Computer-assisted drug design: GAs and structures of molecular  of aromatic hydrocarbons and actinomycin D-deoxyguanosine [50] CMOS DARWIN:  opamp synthesis by means of a GA [14] { GA based design opt. of  VLSI circuits [174] coded Opt. multilayer lter design using real  GAs [311] codesign Soft computing appr. to hardware software  [255] coding Context dependent  in GAs for the design of fuzzy syst. [229] { Pioneer: A new tool for  of multi-level nite state machines based on evol. prog. [99] coecients Multiplier-less FIR lter design with power-of-two  [352] co-evolution A preliminary study on designing arti cial neural networks using  [323] Coevolution syst. for economic design [78] cogging Opt. pole shape design for the reduction of  torque of brushless DC motor using ES [362] { Shape opt. of closed slot type permanent magnet motors for  torque reduction using ES [179] coil Opt. design of capasitor-driven  gun [463, 474] column Proposal of constructive alg. and discrete shape design of the strongest  [181] Combinatorial opt. by stochastic evol. [305] { Using a GA to suggest  libraries [420] combining Opt. of the layout of trusses  strategies based on Mitchell's theorem and on the biological principles of evol. [403] communication GAs and  link speed design: constraints and operators [402] { GAs and  link speed design: theoretical considerations

30 [454] { The design of a multipoint line topology for a  network using GAs [361] communication netwodk A distr. GA over a transputer based par. machine for survivable  Design [327] compact Design of a  cluster structure by using GAs [409] Compaction of symbolic layout using GAs [96] Comparative A  Evaluation of Search Methods Appl. to Parametric Design of Aircraft [315] comparison A  study of GAs in feedback cntr. design [120]  of di erent opt. strategies in the design of electromagnetic devices [188]  of global search methods for design opt. using simulation [79]  of the classical dumped least squares and GA in the opt. of the doublet [211] complete GA for embedding a  graph in a hypercube with a VLSI appl. [415] complex The Wright brothers, GAs, and the design of  syst. [212] compliance GA-based structural topology design with  and manufacturability considerations [176] component Analog  placement by GAs | part I: Partitioning [74] { Automated WYSIWYG design of both the topology and  values of electrical circuits using gen. prog. [397]  sel. opt. using GAs [487] { Two Appl. of GAs to  design [27] composite Gate location opt. in liquid  moulding using GAs [55] { Using GAs to design laminated  structures [382] composition GA-based appr. to cell  and layout design problems [54] computation Gen.  of geodesics on three-dimensional curved surfaces [318] { Human behavior,  and the design of manufacturing syst. [468] computational GAs appl. in  uid dynamics [117, 118] { GAs as a  theory of conceptual design [146] { GAs as a  tool for design [121] { Global opt. methods for  electromagnetics [131] computer-aided Neural network and gen. learning alg. for  design and pattern recognition [81] Computer-aided Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en  design of manipulators with GAs] [198] computer-aided Some remarks on  design of optical lens syst. [60] { Use of gen. and neural technologies in oil equipment  design [143] Computer-Algorithmen Entwicklung von  zur Opt. von Strukturkomponenten nach der Evol. stheorie [273] Computer-assisted drug design: GAs and structures of molecular clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine [232] concentrator Solving  location-problems using GAs [80] conceptual GA in the role of a shell for structural evol. simulation at the  design stage [117, 118] { GAs as a computational theory of  design [46] { New appr. to opt. in aerospace  design [492]  evol. design by GAs [12, 106] { The potential of GAs for  design of rotor syst. [349] { Toward a mechanics of  machines [43] { Using GAs as an automated methodology for  design of rotorcraft [164] concrete The  arch dam, An evol. model of the design process [29] concurrent Evol. al opt. of product design based on  processing of design and manufacturing info [33] { Framework of  design environment [282] concurrent engineering A constraint-based GA for  [76] conditions Opt. of injection molding  using GA [102] Con guration A GA Appr. to the  of Stack Filters [23] { A gen. methodology for  design [242] { Opt. based  using evol. alg. [400] { Solving xed  problems with gen. search [9] Constrained gas network pipe sizing with GAs [269] { The development of a directed gen. search technique for heavily  design spaces [379] constraint An immune network model for  satisfaction in eng. design [53] constraint problems Use of fuzzy logic to overcome  in GAs [282] constraint-based A  GA for concurrent eng. [403] constraints GAs and communication link speed design:  and operators

Genetic algorithms and CAD [25] { GAs versus simulated annealing { satisfaction of large sets of algebraic mechanical design  [82] construction A GA for the  of small and highly testable OKFDD circuits [463, 474] constructive Proposal of  alg. and discrete shape design of the strongest column [356] contact Solving pattern nesting problems with GAs employing task decomposition and  detection [255] Context dependent coding in GAs for the design of fuzzy syst. [442] contiguity Evol. network design & the  problem [456] continuous GA with qqualitative knowledge enchancement for layout design under  space formulation [127] Control Locating Pressure  Elements for Leakage Minimization in Water Supply Networks by GAs [221] { Neural-network designs with gen. learning for  of a single link exible manipulator [488] controlled Fuzzy  GA search for shape opt. [178] { Opt. placement of actuators in actively  structures using GAs [315] controller A comparison study of GAs in feedback  design [139] { Design of and adaptive fuzzy logic  using a GA [69] { Multiobjective gas turbine engine  design using GAs [303] controls GA appr. for opt. cntr. problems with linearly appearing  [312] counterweight Multiobjective design opt. of  balancing of a robot arm using GAs [20] Creative design using a GA [183] criterion Model-based matching using a minimum Rep. size  and a hybrid GA [222] crossover operations Study of gen.  on the facilities layout problem [462] Cross-sectional and geometrical shape opt. by means of GA [266] current The integration of adaptive search with  eng. design practice [256] curve GAs in free-form  design [200] { Polygonal approximation of closed  by GA [54] curved Gen. computation of geodesics on threedimensional  surfaces [123] dam Appl. of the GA to easthetic design of  structures [164] { The concrete arch  An evol. model of the design process [289] Darwin Architects build on  [66] DARWIN analogue circuit synthesis based on GAs [50]  CMOS opamp synthesis by means of a GA [270] database A nested GA for distr.  design [208] { GAs for opt. logical  design [285] Datapath synthesis using a problem-space GA [78] DC motor Opt. pole shape design for the reduction of cogging torque of brushless  using ES [273] D-deoxyguanosine Computer-assisted drug design: GAs and structures of molecular clusters of aromatic hydrocarbons and actinomycin  [275] decision Adaptive search techniques for  support during preliminary eng. design [207] decoder GAP: a GA appr. to optimize two-bit  PLAs [363] decomposition GA's in  based design - Subsyst. interactions through immune network simulation [356] { Solving pattern nesting problems with GAs employing task  and contact detection [85] de ned Use of automatically  functions and architecture-altering operations in automated circuit synthesis using gen. prog. [264] de nition Automatic  of modular neural networks [108] delegation Evol. inheritance and  as mechanisms in knowledge prog. for eng. product design [248] Demand/supply relationship in transportation network design problems: A GA appr. [370] de novo design Appl. of GAs to  of therapeutic peptides [Abstract of a poster] [255] dependent Context  coding in GAs for the design of fuzzy syst. [96] Design A Comparative Evaluation of Search Methods Appl. to Parametric  of Aircraft [315] { A comparison study of GAs in feedback cntr.  [361] { A distr. GA over a transputer based par. machine for survivable communication netwodk  [398] { A GA Appr. to Visual Model-based Half-tone Pattern  [170] { A GA based preliminary  syst. [191] { A GA for mixed-parameter  appl. [404] { A GA for survivable network  [372] { A GA for VLSI physical  automation

Permuted title index [394] { A GAic framework for process  and opt. [23] { A gen. methodology for con guration  [142] { A Multi-Pop. GA and its Appl. to  of Manipulators [190] { A multi-stage adaptive-coding GA for  appl. [270] { A nested GA for distr. database  [195] { A novel methodology using GAs for the  of caches and cache replacement policy [116] { A role for GAs in a preliminary  environment [495] { A study on gen. shape  [259] { Adaptive search and eng.  [369] { Adaptive search strategies to maintain diverse global search for preliminary and whole syst.  [275] { Adaptive search techniques for decision support during preliminary eng.  [274] { Adaptive search tools and their integration with eng.  [34, 150] { Adaptive  using a GA [258] { An appr. to a problem in network  using GAs [401] { An evol. standing on the  of redundant manipulators [71] { An evol. alg. for  opt. of microsyst. [300] { An evol. model for non-routine  [357] { An evol.  for f ?  lenses [268] { An experimental  perspective on GAs [168] { An expert syst. for ergonomic workplace  using a GA [379] { An immune network model for constraint satisfaction in eng.  [59] { Appl. of a GA to wind turbine  [304] { Appl. of GA for responce surface modeling in opt. statistical  [317] { Appl. of GA to aesthetic  of bridge structures [332] { Appl. of GA to neural networks  [324] { Appl. of GA to  of arti cial ground [296] { Appl. of GAs in sliding mode  [123] { Appl. of the GA to easthetic  of dam structures [166] Design Applying the GA to design problems: Progress at the Plymouth Eng.  Center [166] design Applying the GA to  problems: Progress at the Plymouth Eng. Design Center [364] { Automated  knowledge [74] { Automated WYSIWYG  of both the topology and component values of electrical circuits using gen. prog. [39] { Automatic hardware  with an evol. process [15] { Automatic  of hierarchical fuzzy cntr. using GAs [316] { Biodiversity in  via Internet [138] { Chapter 29, Gen. alg. based  of an air-injected hydrocyclone [115] { Chip assembly in the PLAYOUT VLSI  syst. [107] { Chuck Karr and the  of an air-injected hydrocyclone [210] { Classi er  using EP [323] { Coevol. syst. for economic  [120] { Comparison of di erent opt. strategies in the  of electromagnetic devices [188] { Comparison of global search methods for  opt. using simulation [175] { Computer aided opt.  of structural syst. using GAs [492] { Conceptual evol.  by GAs [255] { Context dependent coding in GAs for the  of fuzzy syst. [20] { Creative  using a GA [248] { Demand/supply relationship in transportation network  problems: A GA appr. [145] { Designer GAs: Gen. Alg. in Structure  [336] { Developing an integrated framework for the  of manufacturing syst. using the gen. recombination technique [63] { Developments in the use of the GA in eng.  [105] { Distr. GAs for the oorplan  problem [114] { Distribution-syst. harmonic worst-case  using a GA [334] { Diverse evol. search for preliminary whole syst.  [440] { EnGENEous domain independent, machine learning for  opt. [171] { EnGENous: a uni ed appr. to  opt. [284] { Evol. prog. for  of rectilinear branched networks [29] { Evol. al opt. of product  based on concurrent processing of  and manufacturing info [310] { Evol. alg. in neural network  and training { A review [36] { Evol. automated hardware  syst. with HDL [325] { Evol. case based  [438] { Evol. eng.  using the GA [108] { Evol. inheritance and delegation as mechanisms in knowledge prog. for eng. product  [13] { Evol. learning of novel grammars for  improvement [442] { Evol. network  & the contiguity problem [165] { Evol. techniques and their appl. to eng.  [412] { Evol.  for the opt. layout of tree networks [230] { Evol.  of appl. tailored neural networks

31 [314] { Evol.  of appl. -speci c neural networks: A gen. appr. [307] { Evol.  of molecules with desired properties using the GA [64] { Evolving  cases [19] { Feature sequencing in the Rapid  Syst. using a GA [103, 104] { Floorplan  using distr. GAs [33] { Framework of concurrent  environment [73] { Fuzzy tness function for electric machine  by GA [363] { GA's in decomposition based  - Subsyst. interactions through immune network simulation [490] { Generic Evol.  of Solid Objects using a GA [14] { GA based  opt. of CMOS VLSI circuits [67] { GA for distr. syst. topology  [101] { GA for node partitioning problem and appl. in VLSI  [51] { GA for open-loop distribution syst.  [80] { GA in the role of a shell for structural evol. simulation at the conceptual  stage [189] { GA in the  of FIR lters [84] { GA opt. for aerospace electromagnetic  and analysis [30] { GA techniques for 3-valued transistor  [456] { GA with qqualitative knowledge enchancement for layout  under continuous space formulation [212] { GA-based structural topology  with compliance and manufacturability considerations [403] { GAs and communication link speed  constraints and operators [402] { GAs and communication link speed  theoretical considerations [93] { GAs and VLSI circuit  [459, 335] { GAs appl. to the aerodynamic  of transonic airfoils [366] { GAs appl. to the physical  of VLSI circuits: A survey [117, 118] { GAs as a computational theory of conceptual  [146] { GAs as a computational tool for  [208] { GAs for opt. logical database  [450] { GAs, function opt. , and facility  [256] { GAs in free-form curve  [89] { GAs in industrial  [473] { GAs in multidisciplinary rotor blade  [147] { GAs in optical  [97] { GAs in Parametric  of Aircraft [477] { GAs in the  opt. of electromagnetic devices [25] { GAs versus simulated annealing { satisfaction of large sets of algebraic mechanical  constraints [153] { Gen. and learning automata alg. for adaptive lter  [98] { Gen. appr. to  of multiplierless FIR lters [281] { Gen. search for facility layout  under inter ows uncertainty [125] { Gen. search strategies in multicriterion opt.  [267] { Gen.  of dynamically opt. four-bar linkages [237] { Gen.  of sparse feedforward neural networks [302] { Gen.  of VLSI-layouts [423] { Gen. prog. appl. to neural network  [461] { Headway in cavity  through GAs [318] { Human behavior, computation, and the  of manufacturing syst. [481] { Improving  of cam shape used in valvetrain of internalcombustion engine using a GA [432] { Integrating  stages of fuzzy syst. using GA [358] { Interactive evol. in eng.  [65] { Interactive evol. alg. in  [172] { Interdigitation: A Hybrid Technique for Eng.  Opt. Employing GAs, Expert Syst. , and Numerical Optimization [173] { Inter-GEN: A hybrid appr. to eng.  opt. [486] { Investigating a par. breeder GA on the inverse aerodynamic  [408] { Knowledge based assistance of gen. search in large  space [494] { Learning classi er syst. in  opt. [328] { Manufacturing cell  using an integer-based GA [381] { MCM/IC timing-driven placement alg. featuring explicit  space exploration [26] { Multidisciplinary  opt. using GAs [Abstract only] [69] { Multiobjective gas turbine engine cntr.  using GAs [312] { Multiobjective  opt. of counterweight balancing of a robot arm using GAs [99] { Multiplier-less FIR lter  with power-of-two coef cients [131] { Neural network and gen. learning alg. for computeraided  and pattern recognition [422] { New appr. for the nesting of two-dimensional shapes for press tool  [46] { New appr. to opt. in aerospace conceptual  [134]  appl. of GAs [405]  by nat. sel.

32 [225]  neural networks with GAs for fault section estimation [327]  of a compact cluster structure by using GAs [41]  of an air-injected hydrocyclone using a GA [139]  of and adaptive fuzzy logic cntr. using a GA [61]  of astronomical telescopes of two mirrors using GA in the stage of opt. [148]  of Digital Filters with Evol. Alg. [239]  of HDL prog. for digital-syst. using GAs [157]  of lightweight, broad-band microwave absorbers using GAs [10]  opt. with advanced gen. search strategies [388]  space exploration using the GA [35] { Non-linear lter  using GA [396] { [Optical  [365] { Optical  with the aid of a GA [119] { Opt. magnet  for NMR [174] { Opt. multilayer lter  using real coded GAs [78] { Opt. pole shape  for the reduction of cogging torque of brushless DC motor using ES [162] { Opt. sizing, geometrical and topological  using a GA [219] { Opt. tolerancing: the link between  and manufacturing productivity [179] { Opt.  of capasitor-driven coil gun [194] { Opt.  of machine elements using GAs [68] { Overview of a generic evol.  syst. [383] { Par. opt. statistical  method based on GA [75] { Par. isation of GA for aerodynamic  opt. [374] { Partial automated  opt. based on adaptive search techniques [21] { Production GAs for automated hardware  through an evol. process [463, 474] { Proposal of constructive alg. and discrete shape  of the strongest column [81] { Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en [Computer-aided  of manipulators with GAs] [406] { Recursive adaptive lter  using an adaptive GA [466] { Robust GAs for opt. problems in aerodynamic  [198] { Some remarks on computer-aided  of optical lens syst. [455] { Stepwise-overlapped par. annealing and its appl. to

oorplan  [378] { Structural cell-based VLSI circuit  using a GA [22] { Syst.  under uncertainty: Evol. opt. of the gravity probe-B spacecraft [272] { Techniques to aid global search in eng.  [164] { The concrete arch dam, An evol. model of the  process [269] { The development of a directed gen. search technique for heavily constrained  spaces [86] { The development of a dual-agent strategy for ecient search across whole syst. eng.  hierarchies [276, 167] { The GA and civil eng.  [233] { The impl. of adaptive search tools to promote global search in eng.  [266] { The integration of adaptive search with current eng.  practice [12, 106] { The potential of GAs for conceptual  of rotor syst. [464] { The potential of GAs for subsonic wing  [42] { The table: An illustration of evol.  using GAs [141] { The use of a GA for minimum length nozzle  - A process overview [460] { The use of GAs in shape  opt. [454] { The  of a multipoint line topology for a communication network using GAs [52] { The  of active sonar plot-association gates using a GA [415] { The Wright brothers, GAs, and the  of complex syst. [479] { Transonic airfoil  by means of a GA [122] { Turbine preliminary  using arti cial intelligence and numerical opt. [90] { Turbine preliminary  using GAs [487] { Two Appl. of GAs to component  [249] { Uni ed multidisciplinary optimum  method using GAs [60] { Use of gen. and neural technologies in oil equipment computer-aided  [43] { Using GAs as an automated methodology for conceptual  of rotorcraft [11] { Using GAs for opt.  of trusses [55] { Using GAs to  laminated composite structures [144] { Using GAs to  structures [353] { Using Pareto GA for preliminary subsonic wing  [371] { VLSI Physical  Automation, Theory and Practice [338] { VLSI Physical  Automaton: Theory and Practice [421] { Why nature knows best about  [414] design/con guring Experimentation with an adaptive search strategy for solving a key-board  problem [145] Designer GAs: Gen. Alg. in Structure Design

Genetic algorithms and CAD [352] designing A preliminary study on  arti cial neural networks using co-evol. [218] { Modular scheme for  special purpose associative memories and beyond [223] { Neurogen. learning: An integrated method of  and training NNs [435, 436]  appl. -speci c neural networks using the structured GA [133]  Biomorphs with an Interactive GA [277]  GAs for the state assignment problem [287]  max-min propagation NNs by hyperplane switching [343]  molecules with GAs [184]  multiplierless digital lters using GAs [209]  neural networks by adaptively building blocks in cascades [201] designs A study on heredity and evol. of  by using GAs [491] { Chapter 12. The Evol. of Solid Object  using GAs [44] { Multi-element di ractive optical  using EP [221] { Neural-network  with gen. learning for cntr. of a single link exible manipulator [290] { Polycell placement for analog LSI chip  by GAs and tabu search [319] { Study on heredity and evol. of  by using GAs [393] design-space Integrated sch. , allocation and module sel. for  exploration in high-level synthesis [307] desired Evol. design of molecules with  properties using the GA [110] detailed A  router based on simulated evol. [356] detection Solving pattern nesting problems with GAs employing task decomposition and contact  [336] Developing an integrated framework for the design of manufacturing syst. using the gen. recombination technique [32] development HDL-prog.  modeled upon embryonic  [269] { The  of a directed gen. search technique for heavily constrained design spaces [86] { The  of a dual-agent strategy for ecient search across whole syst. eng. design hierarchies [63] Developments in the use of the GA in eng. design [163] device The utilization of the GA for the opt. -design of a pneumatic hydropower  [120] devices Comparison of di erent opt. strategies in the design of electromagnetic  [477] { GAs in the design opt. of electromagnetic  [149] { Higher order evol. strategies for the global opt. of electromagnetic  [18] diagrams Automating the layout of network  with speci ed visual organization [489] diesel Shape opt. of  fuel injection cam by GA [480] diesel engine Shape opt. of  camshaft by GA [44] di ractive Multi-element  optical designs using EP [148] Digital Design of  Filters with Evol. Alg. [184] { Designing multiplierless  lters using GAs [354] { Gen. synthesis techniques for low-power  signal processing circuits [391] { Gen. synthesis techniques for low-power  signal processing circuits [152] digital ltering Gen. and annealing appr. to adaptive  [239] digital-systems Design of HDL prog. for  using GAs [158] dimension A gen. appr. to the  drawing problem [246] dimensional Simultaneous type and  synthesis of mechanisms by GAs [269] directed The development of a  gen. search technique for heavily constrained design spaces [271] Discovery Cerius2 Release 1.6, Drug  Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [161] Discrete opt. -design using a GA [463, 474] { Proposal of constructive alg. and  shape design of the strongest column [306] discrete variable Survey of  opt. for structural design [270] distributed A nested GA for  database design [434] { A  GA for standard cell placement on a network of workstations [361] { A  GA over a transputer based par. machine for survivable communication netwodk Design [395] { Extended  GA for channel routing [103, 104] { Floorplan design using  GAs [67] { GA for  syst. topology design [105]  GAs for the oorplan design problem [227] distribution Gen. evol. of the topology and weight  of neural networks [95] { Opt. capasitor placement in  syst. by GA

Permuted title index [376] { Selecting and applying  opt. methods [51] distribution system GA for open-loop  design [114] Distribution-system harmonic worst-case design using a GA [369] diverse Adaptive search strategies to maintain  global search for preliminary and whole syst. design [334]  evol. search for preliminary whole syst. design [298]  evol. search for preliminary whole syst. design [135] docking A GA-based method for  exible molecules [440] domain EnGENEous  independent, machine learning for design opt. [79] doublet Comparison of the classical dumped least squares and GA in the opt. of the  [158] drawing A gen. appr. to the dimension  problem [345] driven Perf.  standard-cell placement using the GA [301] { Timing  GA for standard-cell placement [271] Drug Cerius2 Release 1.6,  Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [273] drug design Computer-assisted  GAs and structures of molecular clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine [220] { Structure-based  ten years on [380] DSP Gen. framework for the high level opt. of low power VLSI  syst. [355] DSP systems A gen. framework for the high-level opt. of low power VLSI  [86] dual-agent The development of a  strategy for ecient search across whole syst. eng. design hierarchies [79] dumped Comparison of the classical  least squares and GA in the opt. of the doublet [213, 262] dynamic Gen. search and the  facility layout problem [373] dynamical Evol. synthesis of  object emulator based on RBF neural network [267] dynamically Gen. design of  opt. four-bar linkages [468] dynamics GAs appl. in computational uid  [100] dynamique Alg. genetiques paralleles pour la plani cation de trajectoires de robots en environnement  [123] easthetic Appl. of the GA to  design of dam structures [323] economic Coevol. syst. for  design [86] ecient The development of a dual-agent strategy for  search across whole syst. eng. design hierarchies [159] electric Appl. of a GA to meter allocation in  power syst. [73] electric machine Fuzzy tness function for  design by GA [74] electrical Automated WYSIWYG design of both the topology and component values of  circuits using gen. prog. [120] electromagnetic Comparison of di erent opt. strategies in the design of  devices [84] { GA opt. for aerospace  design and analysis [477] { GAs in the design opt. of  devices [149] { Higher order evol. strategies for the global opt. of  devices [121] electromagnetics Global opt. methods for computational  [279] elements Appl. of mutants as operators of GAs for optimising of VLSI and PCB  placement on the basis of scanning area method [127] { Locating Pressure Cntr.  for Leakage Minimization in Water Supply Networks by GAs [194] { Opt. design of machine  using GAs [211] embedding GA for  a complete graph in a hypercube with a VLSI appl. [32] embryonic HDL-prog. development modeled upon  development [228] empirical Hybrid GAs with hyperplane synthesis: A theoretical and  study [373] emulator Evol. synthesis of dynamical object  based on RBF neural network [456] enchancement GA with qqualitative knowledge  for layout design under continuous space formulation [72] Encoding scheme issues for open-ended arti cial evol. [224] energy Using an annealing GA to solve global  minimization problem in molecular binding [440] EnGENEous domain independent, machine learning for design opt. [171] EnGENous a uni ed appr. to design opt. [481] engine Improving design of cam shape used in valvetrain of internal-combustion  using a GA [69] { Multiobjective gas turbine  cntr. design using GAs [259] engineering Adaptive search and  design [275] { Adaptive search techniques for decision support during preliminary  design

33 [274] { Adaptive search tools and their integration with  design [379] { An immune network model for constraint satisfaction in  design [166] Engineering Applying the GA to design problems: Progress at the Plymouth  Design Center [63] engineering Developments in the use of the GA in  design [108] { Evol. inheritance and delegation as mechanisms in knowledge prog. for  product design [165] { Evol. techniques and their appl. to  design [438] { Evol.  design using the GA [358] { Interactive evol. in  design [172] { Interdigitation: A Hybrid Technique for  Design Opt. Employing GAs, Expert Syst. , and Numerical Optimization [173] { Inter-GEN: A hybrid appr. to  design opt. [156]  opt. s using the structured GA [272] { Techniques to aid global search in  design [86] { The development of a dual-agent strategy for ecient search across whole syst.  design hierarchies [276, 167] { The GA and civil  design [233] { The impl. of adaptive search tools to promote global search in  design [266] { The integration of adaptive search with current  design practice [392] { Using gen.  to nd modular structures and activation functions for architectures of arti cial neural networks [143] Entwicklung von Computer-Algorithmen zur Opt. von Strukturkomponenten nach der Evol. stheorie [81] Entwurfsmethodik Rechnergestiutzte  fur Handhabungsgerate mit genetischen Alg. en [Computer-aided design of manipulators with GAs] [419] Entwurfstheorie Untersuchungen zur Anwendung einer grundlegenden  auf praktische Probleme der Leichtbaukonstruktion [116] environment A role for GAs in a preliminary design  [33] { Framework of concurrent design  [348] { Multirow machine layout problem in fuzzy  using GAs [100] environnement Alg. genetiques paralleles pour la plani cation de trajectoires de robots en  dynamique [57] EP An extended  alg. for VLSI channel routing [299] Epistasis in GAs: An experimental design perspective [478] equations Par. solution of opt. shape design problem governed by Helmholtz/potential ow  [60] equipment Use of gen. and neural technologies in oil  computer-aided design [168] ergonomic An expert syst. for  workplace design using a GA [444] Erlangen Massiv par. e genetische Algorithmen, Beitrage zum Tag der Informatik  1993 [427] Esp A new standard cell placement package using simulated evol. [428]  Placement by simulated evol. [225] estimation Design neural networks with GAs for fault section  [37] { Superquadrics parameter  from shading image using GA [96] Evaluation A Comparative  of Search Methods Appl. to Parametric Design of Aircraft [283] { Impl. and  of GAs for syst. partitioning [110] evolution A detailed router based on simulated  [201] { A study on heredity and  of designs by using GAs [401] { An  standing on the design of redundant manipulators [193] { Applying simulated  to high level synthesis [491] { Chapter 12. The  of Solid Object Designs using GAs [181] { Comb. opt. by stochastic  [72] { Encoding scheme issues for open-ended arti cial  [80] { GA in the role of a shell for structural  simulation at the conceptual design stage [227] { Gen.  of the topology and weight distribution of neural networks [196] { Gen. -synthesis: Perf. -driven logic synthesis using gen.  [38] { Hardware  { an HDL appr. [358] { Interactive  in eng. design [284]  prog. for design of rectilinear branched networks [78] { Opt. pole shape design for the reduction of cogging torque of brushless DC motor using  strategy [429] { Opt. by simulated  with appl. to standard cell placement [420] { Opt. of the layout of trusses combining strategies based on Mitchell's theorem and on the biological principles of  [202] { Perf. -driven global routing based on simulated 

34 [229] { Pioneer: A new tool for coding of multi-level nite state machines based on  prog. [187] { Restrictive channel routing with  prog. [427] { Esp: A new standard cell placement package using simulated  [428] { Esp: Placement by simulated  [362] { Shape opt. of closed slot type permanent magnet motors for cogging torque reduction using  strategy [111] { SILK: Simulated  router [199] { Solving gate-matrix layout problems by simulated  [443] { Stochastic  a fast e ective heuristics for some generic layout problems [319] { Study on heredity and  of designs by using GAs [430] evolutionarer Auslegung eines Rechnernetzwerkes mit minimalem Kommunikationsaufwand mittels  Algorithmen [149] evolution strategies Higher order  for the global opt. of electromagnetic devices [29] Evolutional opt. of product design based on concurrent processing of design and manufacturing info [484] evolutionary A growth model for form generation using a hierarchical  appr. [71] { An  alg. for design opt. of microsyst. [377] { An  appr. to hardware/software partitioning [375, 385] { An  appr. to syst. -level synthesis [357] { An  design for f ?  lenses [24] { An  method for automatic wire routing [300] { An  model for non-routine design [39] { Automatic hardware design with an  process [210] { Classi er design using  prog. [492] { Conceptual  design by GAs [148] { Design of Digital Filters with  Alg. [334] { Diverse  search for preliminary whole syst. design [298] { Diverse  search for preliminary whole syst. design [490] { Generic  Design of Solid Objects using a GA [65] { Interactive  alg. in design [70] { Learning heuristics for OBDD minimization by  alg. [44] { Multi-element di ractive optical designs using  prog. [310]  alg. in neural network design and training { A review [36]  automated hardware design syst. with HDL [325]  case based design [412]  design for the opt. layout of tree networks [230]  design of appl. tailored neural networks [314]  design of appl. -speci c neural networks: A gen. appr. [307]  design of molecules with desired properties using the GA [438]  eng. design using the GA [108]  inheritance and delegation as mechanisms in knowledge prog. for eng. product design [13]  learning of novel grammars for design improvement [442]  network design & the contiguity problem [253]  structuring of neural networks by solving a binary problem [373]  synthesis of dynamical object emulator based on RBF neural network [165]  techniques and their appl. to eng. design [309] { Opt. feeder routing and opt. substation sizing and placement using guided  SA [242] { Opt. based con guration using  alg. [68] { Overview of a generic  design syst. [21] { Production GAs for automated hardware design through an  process [470] { Shape Rep. for  opt. and ident. in structural mechanics [22] { Syst. design under uncertainty:  opt. of the gravity probe-B spacecraft [164] { The concrete arch dam, An  model of the design process [42] { The table: An illustration of  design using GAs [180] evolution-based An  appr. to partitioning ASIC syst. [143] Evolutionstheorie Entwicklung von ComputerAlgorithmen zur Opt. von Strukturkomponenten nach der  [389] Evolving adaptive computer syst. [64]  design cases [410]  layout [17] expansions Using a GA for opt. zed polarity ReedMuller  of Boolean functions [268] experimental An  design perspective on GAs [299] experimental design Epistasis in GAs: An  perspective [414] Experimentation with an adaptive search strategy for solving a key-board design/con guring problem [172] Expert Interdigitation: A Hybrid Technique for Eng. Design Opt. Employing GAs,  Syst. , and Numerical Optimization

Genetic algorithms and CAD [168] expert system An  for ergonomic workplace design using a GA [381] explicit MCM/IC timing-driven placement alg. featuring  design space exploration [388] exploration Design space  using the GA [393] { Integrated sch. , allocation and module sel. for designspace  in high-level synthesis [381] { MCM/IC timing-driven placement alg. featuring explicit design space  [286] expressions A GA for minimization of xed polarity Reed-Muller  [357] f ?  An evol. design for  lenses [453] facilities GA opt. appl. to variations of the unequal area  layout problem [222] { Study of gen. crossover operations on the  layout problem [451] facility A GA appr. to the  layout problem [340] { A GA for  layout [457] { A new Opt. for the  layout problem [291] { A study of GA hybrids for  layout problems [450] { GAs, function opt. , and  design [213, 262] { Gen. search and the dynamic  layout problem [281] { Gen. search for  layout design under inter ows uncertainty [341] { Unequal-area  layout by gen. search [313] facility layout design Skeleton-based  using GAs [351] factorial On interval  GA in global opt. [257] Fast and stable hybrid GA for the ratio-cut partitioning problem on hypergraphs [443] { Stochastic evol. : a  e ective heuristics for some generic layout problems [225] fault Design neural networks with GAs for  section estimation [416] feasibility A  study of gen. placement [19] Feature sequencing in the Rapid Design Syst. using a GA [381] featuring MCM/IC timing-driven placement alg.  explicit design space exploration [315] feedback A comparison study of GAs in  cntr. design [309] feeder Opt.  routing and opt. substation sizing and placement using guided evol. SA [237] feedforward Gen. design of sparse  neural networks [153] lter Gen. and learning automata alg. for adaptive  design [99] { Multiplier-less FIR  design with power-of-two coef cients [35] { Non-linear  design using GA [174] { Opt. multilayer  design using real coded GAs [406] { Recursive adaptive  design using an adaptive GA [407] ltering A survey of IIR adaptive  alg. [102] Filters A GA Appr. to the Con guration of Stack  [148] { Design of Digital  with Evol. Alg. [184] { Designing multiplierless digital  using GAs [439] { Fittest  in real world [189] { GA in the design of FIR  [98] { Gen. appr. to design of multiplierless FIR  [229] nite Pioneer: A new tool for coding of multi-level  state machines based on evol. prog. [189] FIR GA in the design of  lters [98] { Gen. appr. to design of multiplierless  lters [99] { Multiplier-less  lter design with power-of-two coef cients [73] tness function Fuzzy  for electric machine design by GA [439] Fittest lters in real world [286] xed A GA for minimization of  polarity Reed-Muller expressions [251] { OFDD based minimization of  polarity Reed-Muller expressions using hybrid GAs [400] { Solving  con guration problems with gen. search [17] { Using a GA for opt.  polarity Reed-Muller expansions of Boolean functions [135] exible A GA-based method for docking  molecules [221] { Neural-network designs with gen. learning for cntr. of a single link  manipulator [247] exible manufacturing system Opt.  layout with GAs [346] oor Opt. of  plate structure in railway passenger train by GA [235] oorplan A GA for  area opt. [105] { Distr. GAs for the  design problem [260]  area opt. using GAs [103, 104]  design using distr. GAs [455] { Stepwise-overlapped par. annealing and its appl. to  design

Permuted title index [350] oorplanner Timing in uenced general-cell gen.  [130] Floorplanning by improved simulated annealing based on GAs [129] Floorplan-Vorgaben Chip-Assembly Strategien bei der Layout-Synthese nach  [478] ow Par. solution of opt. shape design problem governed by Helmholtz/potential  equations [471] { The reconstruction of an airfoil in 2D potential  using a GA on a par. computer [468] uid GAs appl. in computational  dynamics [484] form A growth model for  generation using a hierarchical evol. appr. [360] Form/function/cost tradeo s through adaptive search [177] formulation Analogue placement by  of macrocomponents and gen. partitioning [456] { GA with qqualitative knowledge enchancement for layout design under continuous space  [267] four-bar Gen. design of dynamically opt.  linkages [243] FPGAs Opt. techniques based on the use of GAs (GAs) for logic impl. on  [280] FPGA's TRACER-fpga: a router for RAM-based  [394] framework A GAic  for process design and opt. [355] { A gen.  for the high-level opt. of low power VLSI DSP syst. [336] { Developing an integrated  for the design of manufacturing syst. using the gen. recombination technique [380] { Gen.  for the high level opt. of low power VLSI DSP syst. [33]  of concurrent design environment [256] free-form GAs in  curve design [231] FSM State assignment for low-power  synthesis using gen. local search [489] fuel injection cam Shape opt. of diesel  by GA [271] function Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen.  approximation [450] { GAs,  opt. , and facility design [85] functions Use of automatically de ned  and architecture-altering operations in automated circuit synthesis using gen. prog. [392] { Using gen. eng. to nd modular structures and activation  for architectures of arti cial neural networks [326] fuzzy An integrated shape opt. appr. using GAs and  rule-based syst. [432] { Integrating design stages of  syst. using GA [348] { Multirow machine layout problem in  environment using GAs [488]  cntr. GA search for shape opt. [73]  tness function for electric machine design by GA [15] fuzzy controllers Automatic design of hierarchical  using GAs [139] fuzzy logic Design of and adaptive  cntr. using a GA [53] { Use of  to overcome constraint problems in GAs [255] fuzzy systems Context dependent coding in GAs for the design of  [207] GAP a GA appr. to optimize two-bit decoder PLAs [9] gas Constrained  network pipe sizing with GAs [363] GA's in decomposition based design - Subsyst. interactions through immune network simulation [367] gas Spacial reasoning with GAs, An appl. in planning of safe liquid petroleum  site [69] gas turbine Multiobjective  engine cntr. design using GAs [447] Gasp - a GA for standard cell placement [240] gate Gen. beam search for  matrix layout [27]  location opt. in liquid composite moulding using GAs [294] { The GA appl. to  sizing [448] gate matrix Gen. beam search for  layout [204] { On the synthesis of  layout [199] gate-matrix Solving  layout problems by simulated evol. [52] gates The design of active sonar plot-association  using a GA [390] geentic Structural synthesis of cell-based VLSI circuits using a multi-objective  alg. [350] general-cell Timing in uenced  gen. oorplanner [484] generation A growth model for form  using a hierarchical evol. appr. [45] Generic building product model incorporating building type info [490]  Evol. Design of Solid Objects using a GA [68] { Overview of a  evol. design syst. [443] { Stochastic evol. : a fast e ective heuristics for some  layout problems

35 [196] Genetic-synthesis Perf. -driven logic synthesis using gen. evol. [308] Genrouter a GA for channel routing-problems [54] geodesics Gen. computation of  on three-dimensional curved surfaces [462] geometrical Cross-sectional and  shape opt. by means of GA [162] { Opt. sizing,  and topological design using a GA [128] global A GA for  improvement of macrocell layouts [40] { A macro-cell  router based on two GAs [369] { Adaptive search strategies to maintain diverse  search for preliminary and whole syst. design [217] { Adaptive  opt. with local search [188] { Comparison of  search methods for design opt. using simulation [149] { Higher order evol. strategies for the  opt. of electromagnetic devices [485] { Hybrid methods using GAs for  opt. [121]  opt. methods for computational electromagnetics [351] { On interval factorial GA in  opt. [250] { Optical packages look for  minima [202] { Perf. -driven  routing based on simulated evol. [272] { Techniques to aid  search in eng. design [233] { The impl. of adaptive search tools to promote  search in eng. design [224] { Using an annealing GA to solve  energy minimization problem in molecular binding [478] governed Par. solution of opt. shape design problem  by Helmholtz/potential ow equations [58] Gplace GA for placement opt. [13] grammars Evol. learning of novel  for design improvement [211] graph GA for embedding a complete  in a hypercube with a VLSI appl. [433] Graphic object layout with interactive GAs [252] graphs Gen. sch. of task  [22] gravity Syst. design under uncertainty: Evol. opt. of the  probe-B spacecraft [324] ground Appl. of GA to design of arti cial  [484] growth A  model for form generation using a hierarchical evol. appr. [419] grundlegenden Untersuchungen zur Anwendung einer  Entwurfstheorie auf praktische Probleme der Leichtbaukonstruktion [309] guided Opt. feeder routing and opt. substation sizing and placement using  evol. SA [179] gun Opt. design of capasitor-driven coil  [398] Half-tone A GA Appr. to Visual Model-based  Pattern Design [81] Handhabungsgerate Rechnergestiutzte Entwurfsmethodik fur  mit genetischen Alg. en [Computer-aided design of manipulators with GAs] [39] hardware Automatic  design with an evol. process [36] { Evol. automated  design syst. with HDL [38]  evol. { an HDL appr. [21] { Production GAs for automated  design through an evol. process [311] { Soft computing appr. to  software codesign [377] hardware/software An evol. appr. to  partitioning [114] harmonic Distribution-syst.  worst-case design using a GA [239] HDL Design of  prog. for digital-syst. using GAs [36] { Evol. automated hardware design syst. with  [38] { Hardware evol. { an  appr. [32] HDL-program development modeled upon embryonic development [461] Headway in cavity design through GAs [269] heavily The development of a directed gen. search technique for  constrained design spaces [478] Helmholtz/potential Par. solution of opt. shape design problem governed by  ow equations [201] heredity A study on  and evol. of designs by using GAs [319] { Study on  and evol. of designs by using GAs [70] heuristics Learning  for OBDD minimization by evol. alg. [443] { Stochastic evol. : a fast e ective  for some generic layout problems [484] hierarchical A growth model for form generation using a  evol. appr. [15] { Automatic design of  fuzzy cntr. using GAs [86] hierarchies The development of a dual-agent strategy for ecient search across whole syst. eng. design  [355] high-level A gen. framework for the  opt. of low power VLSI DSP syst.

36 [393] { Integrated sch. , allocation and module sel. for designspace exploration in  synthesis [347]  synthesis of data paths for easy testability [322]  synthesis sch. and allocation using GAs [297]  synthesis using GA [318] Human behavior, computation, and the design of manufacturing syst. [476] hybrid Aerodynamic shape opt. by means of  GA [257] { Fast and stable  GA for the ratio-cut partitioning problem on hypergraphs [172] { Interdigitation: A  Technique for Eng. Design Opt. Employing GAs, Expert Syst. , and Numerical Optimization [173] { Inter-GEN: A  appr. to eng. design opt. [183] { Model-based matching using a minimum Rep. size criterion and a  GA [411]  appr. for opt. nesting using a GA and a local minimization alg. [467]  GA for multi objective aerodynamic shape opt. [228]  GAs with hyperplane synthesis: A theoretical and empirical study [485]  methods using GAs for global opt. [251] { OFDD based minimization of xed polarity ReedMuller expressions using  GAs [293] { VLSI standard-cell placement by par.  simulatedannealing and GA [291] hybrids A study of GA  for facility layout problems [273] hydrocarbons Computer-assisted drug design: GAs and structures of molecular clusters of aromatic  and actinomycin D-deoxyguanosine [140] Hydrocyclone Air-Injected  Opt. via GA [137] { Analysis and opt. of an air-injected  [138] { Chapter 29, Gen. alg. based design of an air-injected  [107] { Chuck Karr and the design of an air-injected  [41] { Design of an air-injected  using a GA [163] hydropower The utilization of the GA for the opt. design of a pneumatic  device [211] hypercube GA for embedding a complete graph in a  with a VLSI appl. [257] hypergraphs Fast and stable hybrid GA for the ratiocut partitioning problem on  [287] hyperplane Designing max-min propagation NNs by  switching [228] { Hybrid GAs with  synthesis: A theoretical and empirical study [136] identi cation Sensor placement for on-orbit modal  of large space structure via a GA [470] { Shape Rep. for evol. opt. and  in structural mechanics [407] IIR A survey of  adaptive ltering alg. [42] illustration The table: An  of evol. design using GAs [37] image Superquadrics parameter estimation from shading  using GA [379] immune network An  model for constraint satisfaction in eng. design [363] { GA's in decomposition based design - Subsyst. interactions through  simulation [283] Implementation and evaluation of GAs for syst. partitioning [243] { Opt. techniques based on the use of GAs (GAs) for logic  on FPGAs [233] { The  of adaptive search tools to promote global search in eng. design [368] implemented Par. GAs  on transputers [440] independent EnGENEous domain  machine learning for design opt. [89] industrial GAs in  design [350] in uenced Timing  general-cell gen. oorplanner [444] Informatik Massiv par. e genetische Algorithmen, Beitrage zum Tag der  Erlangen 1993 [29] information Evol. al opt. of product design based on concurrent processing of design and manufacturing  [45] { Generic building product model incorporating building type  [108] inheritance Evol.  and delegation as mechanisms in knowledge prog. for eng. product design [76] injection Opt. of  molding conditions using GA [241] Inspection allocation in manufacturing syst. : A GA appr. [328] integer-based Manufacturing cell design using an  GA [326] integrated An  shape opt. appr. using GAs and fuzzy rule-based syst. [336] { Developing an  framework for the design of manufacturing syst. using the gen. recombination technique

Genetic algorithms and CAD [182] { GAs for the opt. of  circuits synthesis [223] { Neurogen. learning: An  method of designing and training NNs [393]  sch. , allocation and module sel. for design-space exploration in high-level synthesis [216] integrated circuits GAs in computer aided design of  [432] Integrating design stages of fuzzy syst. using GA [274] integration Adaptive search tools and their  with eng. design [266] { The  of adaptive search with current eng. design practice [363] interactions GA's in decomposition based design Subsyst.  through immune network simulation [133] Interactive Designing Biomorphs with an  GA [433] { Graphic object layout with  GAs [358]  evol. in eng. design [65]  evol. alg. in design [172] Interdigitation A Hybrid Technique for Eng. Design Opt. Employing GAs, Expert Syst. , and Numerical Optimization [281] inter ows Gen. search for facility layout design under  uncertainty [173] Inter-GEN A hybrid appr. to eng. design opt. [481] internal-combustion Improving design of cam shape used in valvetrain of  engine using a GA [316] Internet Biodiversity in design via  [351] interval On  factorial GA in global opt. [271] Introduction Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16:  to gen. function approximation [465] inverse GA for aerodynamic  opt. problem [486] { Investigating a par. breeder GA on the  aerodynamic design [486] Investigating a par. breeder GA on the inverse aerodynamic design [107] Karr Chuck  and the design of an air-injected hydrocyclone [437] keyboard Appl. of GAs to the  opt. problem [414] key-board Experimentation with an adaptive search strategy for solving a  design/con guring problem [160] Keyboard opt. using gen. techniques [364] knowledge Automated design  [108] { Evol. inheritance and delegation as mechanisms in  prog. for eng. product design [456] { GA with qqualitative  enchancement for layout design under continuous space formulation [408]  based assistance of gen. search in large design space [169] knowledge-based A  syst. for opt. workplace layouts using a GA [430] Kommunikationsaufwand Auslegung eines Rechnernetzwerkes mit minimalem  mittels evol. arer Algorithmen [92] laminate GA Rep. for  layups [55] laminated Using GAs to design  composite structures [197] layer An appl. of GAs to solve the  assignment problem in multi chip modules [261] { MCM  assignment using gen. search [451] layout A GA appr. to the facility  problem [340] { A GA for facility  [457] { A new Opt. for the facility  problem [424] { A Par. GA for Network-Diagram  [452] { A quantitative appr. to the plant  problem using GAs [18] { Automating the  of network diagrams with speci ed visual organization [409] { Compaction of symbolic  using GAs [412] { Evol. design for the opt.  of tree networks [410] { Evolving  [453] { GA opt. appl. to variations of the unequal area facilities  problem [456] { GA with qqualitative knowledge enchancement for  design under continuous space formulation [240] { Gen. beam search for gate matrix  [448] { Gen. beam search for gate matrix  [213, 262] { Gen. search and the dynamic facility  problem [281] { Gen. search for facility  design under inter ows uncertainty [433] { Graphic object  with interactive GAs [348] { Multirow machine  problem in fuzzy environment using GAs [204] { On the synthesis of gate matrix  [431] { Opt.  of tree networks using GAs [420] { Opt. of the  of trusses combining strategies based on Mitchell's theorem and on the biological principles of evol. [247] { Opt. exible manufacturing syst.  with GAs

Permuted title index [199] { Solving gate-matrix  problems by simulated evol. [443] { Stochastic evol. : a fast e ective heuristics for some generic  problems [222] { Study of gen. crossover operations on the facilities  problem [278] { Towards opt. circuit  using advanced search techniques [341] { Unequal-area facility  by gen. search [382] layout design GA-based appr. to cell composition and  problems [291] layout problems A study of GA hybrids for facility  [128] layouts A GA for global improvement of macrocell  [169] { A knowledge-based syst. for opt. workplace  using a GA [129] Layout-Synthese Chip-Assembly Strategien bei der  nach Floorplan-Vorgaben [92] layups GA Rep. for laminate  [127] Leakage Locating Pressure Cntr. Elements for  Minimization in Water Supply Networks by GAs [482] learning A  classi er syst. for three-dimensional shape opt. [13] { Evol.  of novel grammars for design improvement [153] { Gen. and  automata alg. for adaptive lter design [131] { Neural network and gen.  alg. for computer-aided design and pattern recognition [221] { Neural-network designs with gen.  for cntr. of a single link exible manipulator [223] { Neurogen.  An integrated method of designing and training NNs [494]  classi er syst. in design opt. [70]  heuristics for OBDD minimization by evol. alg. [483] { Three-dimensional shape opt. utilizing a  classi er syst. [469] { Zeroth-Order Shape Opt. Utilizing a  Classi er Syst. [79] least squares Comparison of the classical dumped  and GA in the opt. of the doublet [419] Leichtbaukonstruktion Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf praktische Probleme der  [141] length The use of a GA for minimum  nozzle design A process overview [198] lens Some remarks on computer-aided design of optical  syst. [357] lenses An evol. design for f ?   [193] level Applying simulated evol. to high  synthesis [380] { Gen. framework for the high  opt. of low power VLSI DSP syst. [305] libraries Using a GA to suggest comb.  [157] lightweight Design of  broad-band microwave absorbers using GAs [454] line The design of a multipoint  topology for a communication network using GAs [303] linearly GA appr. for opt. cntr. problems with  appearing controls [403] link GAs and communication  speed design: constraints and operators [402] { GAs and communication  speed design: theoretical considerations [221] { Neural-network designs with gen. learning for cntr. of a single  exible manipulator [219] { Opt. tolerancing: the  between design and manufacturing productivity [267] linkages Gen. design of dynamically opt. four-bar  [27] liquid Gate location opt. in  composite moulding using GAs [367] { Spacial reasoning with GAs, An appl. in planning of safe  petroleum gas site [411] local Hybrid appr. for opt. nesting using a GA and a  minimization alg. [231] { State assignment for low-power FSM synthesis using gen.  search [217] local search Adaptive global opt. with  [127] Locating Pressure Cntr. Elements for Leakage Minimization in Water Supply Networks by GAs [206] location Appl. of GA for the support  opt. of beams [27] { Gate  opt. in liquid composite moulding using GAs [232] location-problems Solving concentrator  using GAs [196] logic Gen. -synthesis: Perf. -driven  synthesis using gen. evol. [243] { Opt. techniques based on the use of GAs (GAs) for  impl. on FPGAs [208] logical GAs for opt.  database design [354] low-power Gen. synthesis techniques for  digital signal processing circuits

37 [391] { Gen. synthesis techniques for  digital signal processing circuits [231] { State assignment for  FSM synthesis using gen. local search [290] LSI chip Polycell placement for analog  designs by GAs and tabu search [361] machine A distr. GA over a transputer based par.  for survivable communication netwodk Design [348] { Multirow  layout problem in fuzzy environment using GAs [194] { Opt. design of  elements using GAs [440] machine learning EnGENEous domain independent,  for design opt. [229] machines Pioneer: A new tool for coding of multi-level nite state  based on evol. prog. [349] { Toward a mechanics of conceptual  [109] macro A GA for  cell placement [128] macrocell A GA for global improvement of  layouts [40] macro-cell A  global router based on two GAs [185]  and module placement by gen. adaptive search with bitmap-represented chromosome [263] { SAGA: a uni cation of the GA with simulated annealing and its appl. to  placement [177] macrocomponents Analogue placement by formulation of  and gen. partitioning [119] magnet Opt.  design for NMR [369] maintain Adaptive search strategies to  diverse global search for preliminary and whole syst. design [221] manipulator Neural-network designs with gen. learning for cntr. of a single link exible  [142] Manipulators A Multi-Pop. GA and its Appl. to Design of  [401] { An evol. standing on the design of redundant  [81] { Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en [Computer-aided design of  with GAs] [212] manufacturability GA-based structural topology design with compliance and  considerations [336] manufacturing Developing an integrated framework for the design of  syst. using the gen. recombination technique [29] { Evol. al opt. of product design based on concurrent processing of design and  info [318] { Human behavior, computation, and the design of  syst. [241] { Inspection allocation in  syst. : A GA appr. [328]  cell design using an integer-based GA [219] { Opt. tolerancing: the link between design and  productivity [329] mapping Improved technology  using a new appr. to Boolean matching [444] Massiv par. e genetische Algorithmen, Beitrage zum Tag der Informatik Erlangen 1993 [329] matching Improved technology mapping using a new appr. to Boolean  [183] { Model-based  using a minimum Rep. size criterion and a hybrid GA [240] matrix Gen. beam search for gate  layout [287] max-min Designing  propagation NNs by hyperplane switching [245] MCM GA for  partitioning [261]  layer assignment using gen. search [381] MCM/IC timing-driven placement alg. featuring explicit design space exploration [295] MCMs A GA-based circuit partitioner for  [25] mechanical GAs versus simulated annealing { satisfaction of large sets of algebraic  design constraints [470] mechanics Shape Rep. for evol. opt. and ident. in structural  [349] { Toward a  of conceptual machines [108] mechanisms Evol. inheritance and delegation as  in knowledge prog. for eng. product design [246] { Simultaneous type and dimensional synthesis of  by GAs [445] Meta-Genetic A Gen. Appr. to Standard Cell Placement Using  Parameter Opt. [236] metaphors Some non-biological  for GAs [159] meter Appl. of a GA to  allocation in electric power syst. [135] method A GA-based  for docking exible molecules [24] { An evol.  for automatic wire routing [279] { Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area 

38 [223] { Neurogen. learning: An integrated  of designing and training NNs [383] { Par. opt. statistical design  based on GA [249] { Uni ed multidisciplinary optimum design  using GAs [23] methodology A gen.  for con guration design [195] { A novel  using GAs for the design of caches and cache replacement policy [342] { Two-stage simulated annealing  [43] { Using GAs as an automated  for conceptual design of rotorcraft [96] Methods A Comparative Evaluation of Search  Appl. to Parametric Design of Aircraft [188] { Comparison of global search  for design opt. using simulation [121] { Global opt.  for computational electromagnetics [485] { Hybrid  using GAs for global opt. [376] { Selecting and applying distribution opt.  [71] microsystems An evol. alg. for design opt. of  [157] microwave Design of lightweight, broad-band  absorbers using GAs [250] minima Optical packages look for global  [430] minimalem Auslegung eines Rechnernetzwerkes mit  Kommunikationsaufwand mittels evol. arer Algorithmen [286] minimization A GA for  of xed polarity Reed-Muller expressions [411] { Hybrid appr. for opt. nesting using a GA and a local  alg. [70] { Learning heuristics for OBDD  by evol. alg. [127] { Locating Pressure Cntr. Elements for Leakage  in Water Supply Networks by GAs [251] { OFDD based  of xed polarity Reed-Muller expressions using hybrid GAs [224] { Using an annealing GA to solve global energy  problem in molecular binding [183] minimum Model-based matching using a  Rep. size criterion and a hybrid GA [141] { The use of a GA for  length nozzle design - A process overview [192] minimum-time A GA for  trajectories [61] mirrors Design of astronomical telescopes of two  using GA in the stage of opt. [420] Mitchell's Opt. of the layout of trusses combining strategies based on  theorem and on the biological principles of evol. [191] mixed-parameter A GA for  design appl. [136] modal Sensor placement for on-orbit  ident. of large space structure via a GA [296] mode Appl. of GAs in sliding  design [484] model A growth  for form generation using a hierarchical evol. appr. [300] { An evol.  for non-routine design [379] { An immune network  for constraint satisfaction in eng. design [164] { The concrete arch dam, An evol.  of the design process [398] Model-based A GA Appr. to Visual  Half-tone Pattern Design [183]  matching using a minimum Rep. size criterion and a hybrid GA [32] modeled HDL-prog. development  upon embryonic development [238] Modi ed gen. channel router [264] modular Automatic de nition of  neural networks [218]  scheme for designing special purpose associative memories and beyond [392] { Using gen. eng. to nd  structures and activation functions for architectures of arti cial neural networks [16] module A  placement using GAs [234] { GAs for the  orientation problem [393] { Integrated sch. , allocation and  sel. for design-space exploration in high-level synthesis [185] { Macro-cell and  placement by gen. adaptive search with bitmap-represented chromosome [197] modules An appl. of GAs to solve the layer assignment problem in multi chip  [76] molding Opt. of injection  conditions using GA [273] molecular Computer-assisted drug design: GAs and structures of  clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine [224] { Using an annealing GA to solve global energy minimization problem in  binding [135] molecules A GA-based method for docking exible  [343] { Designing  with GAs [307] { Evol. design of  with desired properties using the GA [113] Monte-Carlo Opt. tolerance allotment using a GA and truncated  simulation

Genetic algorithms and CAD [362] motors Shape opt. of closed slot type permanent magnet  for cogging torque reduction using ES [27] moulding Gate location opt. in liquid composite  using GAs [197] multi An appl. of GAs to solve the layer assignment problem in  chip modules [467] multi objective Hybrid GA for  aerodynamic shape opt. [125] multicriterion Gen. search strategies in  opt. design [473] multidisciplinary GAs in  rotor blade design [26]  design opt. using GAs [Abstract only] [249] { Uni ed  optimum design method using GAs [359] multi-element Navier-Stokes/gen. opt. of  airfoils [44]  di ractive optical designs using EP [174] multilayer Opt.  lter design using real coded GAs [229] multi-level Pioneer: A new tool for coding of  nite state machines based on evol. prog. [312] Multiobjective design opt. of counterweight balancing of a robot arm using GAs [69]  gas turbine engine cntr. design using GAs [390] multi-objective Structural synthesis of cell-based VLSI circuits using a  geentic alg. [386] { Structural synthesis of cell-based VLSI circuits using a  GA [184] multiplierless Designing  digital lters using GAs [98] { Gen. appr. to design of  FIR lters [99] Multiplier-less FIR lter design with power-of-two coecients [454] multipoint The design of a  line topology for a communication network using GAs [142] Multi-Population A  GA and its Appl. to Design of Manipulators [348] Multirow machine layout problem in fuzzy environment using GAs [190] multi-stage A  adaptive-coding GA for design appl. [339] multiway Gen.  partitioning [279] mutants Appl. of  as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area method [405] natural Design by  sel. [421] nature Why  knows best about design [359] Navier-Stokes/genetic opt. of multi-element airfoils [270] nested A  GA for distr. database design [411] nesting Hybrid appr. for opt.  using a GA and a local minimization alg. [422] { New appr. for the  of two-dimensional shapes for press tool design [356] { Solving pattern  problems with GAs employing task decomposition and contact detection [48] { The  of two-dimensional shapes using GAs [434] network A distr. GA for standard cell placement on a  of workstations [404] { A GA for survivable  design [258] { An appr. to a problem in  design using GAs [18] { Automating the layout of  diagrams with speci ed visual organization [9] { Constrained gas  pipe sizing with GAs [248] { Demand/supply relationship in transportation  design problems: A GA appr. [442] { Evol.  design & the contiguity problem [454] { The design of a multipoint line topology for a communication  using GAs [154, 155] { Wolverines: standard cell placement on a  of workstations [424] Network-Diagram A Par. GA for  Layout [287] networks Designing max-min propagation neural  by hyperplane switching [284] { Evol. prog. for design of rectilinear branched  [412] { Evol. design for the opt. layout of tree  [127] { Locating Pressure Cntr. Elements for Leakage Minimization in Water Supply  by GAs [223] { Neurogen. learning: An integrated method of designing and training neural  [431] { Opt. layout of tree  using GAs [77] { Usage of back propagation  in a CAD/CAM syst. [31] { Use of recurrent  and GAs for solving standard cell placement problem [287] neural Designing max-min propagation  networks by hyperplane switching [223] { Neurogen. learning: An integrated method of designing and training  networks [60] { Use of gen. and  technologies in oil equipment computer-aided design [310] neural network Evol. alg. in  design and training { A review

Permuted title index [373] { Evol. synthesis of dynamical object emulator based on RBF  [423] { Gen. prog. appl. to  design [131]  and gen. learning alg. for computer-aided design and pattern recognition [352] neural networks A preliminary study on designing arti cial  using co-evol. [332] { Appl. of GA to  design [264] { Automatic de nition of modular  [225] { Design  with GAs for fault section estimation [435, 436] { Designing appl. -speci c  using the structured GA [209] { Designing  by adaptively building blocks in cascades [230] { Evol. design of appl. tailored  [314] { Evol. design of appl. -speci c  A gen. appr. [253] { Evol. structuring of  by solving a binary problem [237] { Gen. design of sparse feedforward  [227] { Gen. evol. of the topology and weight distribution of  [392] { Using gen. eng. to nd modular structures and activation functions for architectures of arti cial  [221] Neural-network designs with gen. learning for cntr. of a single link exible manipulator [223] Neurogenetic learning: An integrated method of designing and training NNs [320] neuroverkkojen Geneettiset alg. it  opetuksessa ja rakenteen suunnittelussa [119] NMR Opt. magnet design for  [101] node partitioning GA for  problem and appl. in VLSI design [236] non-biological Some  metaphors for GAs [124] nonconvex Gen. search | An appr. to the  opt. problem [35] Non-linear lter design using GA [300] non-routine An evol. model for  design [141] nozzle The use of a GA for minimum length  design A process overview [172] Numerical Interdigitation: A Hybrid Technique for Eng. Design Opt. Employing GAs, Expert Syst. , and  Optimization [122] { Turbine preliminary design using arti cial intelligence and  opt. [70] OBDD Learning heuristics for  minimization by evol. alg. [491] Object Chapter 12. The Evol. of Solid  Designs using GAs [373] { Evol. synthesis of dynamical  emulator based on RBF neural network [433] { Graphic  layout with interactive GAs [254] objectives GA for test sch. with di erent  [490] Objects Generic Evol. Design of Solid  using a GA [251] OFDD based minimization of xed polarity ReedMuller expressions using hybrid GAs [60] oil Use of gen. and neural technologies in  equipment computer-aided design [82] OKFDD circuits A GA for the construction of small and highly testable  [136] on-orbit Sensor placement for  modal ident. of large space structure via a GA [50] opamp DARWIN: CMOS  synthesis by means of a GA [72] open-ended Encoding scheme issues for  arti cial evol. [51] open-loop GA for  distribution syst. design [85] operations Use of automatically de ned functions and architecture-altering  in automated circuit synthesis using gen. prog. [279] operators Appl. of mutants as  of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area method [403] { GAs and communication link speed design: constraints and  [49] { Gen.  for two-dimensional shape opt. [320] opetuksessa Geneettiset alg. it neuroverkkojen  ja rakenteen suunnittelussa [147] optical GAs in  design [44] { Multi-element di ractive  designs using EP [396] Optical design] [365] Optical design with the aid of a GA [250]  packages look for global minima [198] { Some remarks on computer-aided design of  lens syst. [304] optimal Appl. of GA for responce surface modeling in  statistical design [87] { Appl. of gen. based alg. to  capacitor placement [175] { Computer aided  design of structural syst. using GAs [412] { Evol. design for the  layout of tree networks [208] { GAs for  logical database design

39 [267] { Gen. design of dynamically  four-bar linkages [125] { Gen. search strategies in multicriterion  design [411] { Hybrid appr. for  nesting using a GA and a local minimization alg. [95]  capasitor placement in distribution syst. by GA [179]  design of capasitor-driven coil gun [194]  design of machine elements using GAs [309]  feeder routing and opt. substation sizing and placement using guided evol. SA [431]  layout of tree networks using GAs [119]  magnet design for NMR [174]  multilayer lter design using real coded GAs [178]  placement of actuators in actively cntr. structures using GAs [78]  pole shape design for the reduction of cogging torque of brushless DC motor using ES [162]  sizing, geometrical and topological design using a GA [113]  tolerance allotment using a GA and truncated MonteCarlo simulation [219]  tolerancing: the link between design and manufacturing productivity [309] { Opt. feeder routing and  substation sizing and placement using guided evol. SA [478] { Par. solution of  shape design problem governed by Helmholtz/potential ow equations [383] { Par.  statistical design method based on GA [278] { Towards  circuit layout using advanced search techniques [11] { Using GAs for  design of trusses [303] optimal control problems GA appr. for  with linearly appearing cntr. s [161] optimal-design Discrete  using a GA [163] { The utilization of the GA for the  of a pneumatic hydropower device [143] Optimierung Entwicklung von Computer-Algorithmen zur  von Strukturkomponenten nach der Evol. stheorie [355] optimisation A gen. framework for the high-level  of low power VLSI DSP syst. [288] { A par. GA for transonic airfoil  [475] { Alg. genetiques et  topologique [462] { Cross-sectional and geometrical shape  by means of GA [380] { Gen. framework for the high level  of low power VLSI DSP syst. [75] { Par. isation of GA for aerodynamic design  [56] { Shape Rep. for  [279] optimising Appl. of mutants as operators of GAs for  of VLSI and PCB elements placement on the basis of scanning area method [235] optimization A GA for oorplan area  [394] { A GAic framework for process design and  [445] { A Gen. Appr. to Standard Cell Placement Using MetaGenetic Parameter  [482] { A learning classi er syst. for three-dimensional shape  [217] { Adaptive global  with local search [493] { Aerodynamic shape  by means of a GA [476] { Aerodynamic shape  by means of hybrid GA [140] { Air-Injected Hydrocyclone  via GA [384] { An adaptive par. GA for VLSI-layout  [71] { An evol. alg. for design  of microsyst. [326] { An integrated shape  appr. using GAs and fuzzy rulebased syst. [137] { Analysis and  of an air-injected hydrocyclone [437] { Appl. of GAs to the keyboard  problem [206] { Appl. of GA for the support location  of beams [472, 331] { Appl. of GA to aerodynamic shape  [181] { Comb.  by stochastic evol. [120] { Comparison of di erent  strategies in the design of electromagnetic devices [188] { Comparison of global search methods for design  using simulation [79] { Comparison of the classical dumped least squares and GA in the  of the doublet [397] { Component sel.  using GAs [61] { Design of astronomical telescopes of two mirrors using GA in the stage of  [10] { Design  with advanced gen. search strategies [440] { EnGENEous domain independent, machine learning for design  [171] { EnGENous: a uni ed appr. to design  [29] { Evol. al  of product design based on concurrent processing of design and manufacturing info [260] { Floorplan area  using GAs [488] { Fuzzy cntr. GA search for shape 

40 [27] { Gate location  in liquid composite moulding using GAs [14] { GA based design  of CMOS VLSI circuits [465] { GA for aerodynamic inverse  problem [453] { GA  appl. to variations of the unequal area facilities layout problem [84] { GA  for aerospace electromagnetic design and analysis [182] { GAs for the  of integrated circuits synthesis [450] { GAs, function  and facility design [126] { GAs in structural topology  [477] { GAs in the design  of electromagnetic devices [49] { Gen. operators for two-dimensional shape  [124] { Gen. search | An appr. to the nonconvex  problem [121] { Global  methods for computational electromagnetics [149] { Higher order evol. strategies for the global  of electromagnetic devices [467] { Hybrid GA for multi objective aerodynamic shape  [485] { Hybrid methods using GAs for global  [172] { Interdigitation: A Hybrid Technique for Eng. Design  Employing GAs, Expert Syst. , and Numerical  [173] { Inter-GEN: A hybrid appr. to eng. design  [160] { Keyboard  using gen. techniques [494] { Learning classi er syst. in design  [26] { Multidisciplinary design  using GAs [Abstract only] [312] { Multiobjective design  of counterweight balancing of a robot arm using GAs [359] { Navier-Stokes/gen.  of multi-element airfoils [46] { New appr. to  in aerospace conceptual design [242]  based con guration using evol. alg. [429]  by simulated evol. with appl. to standard cell placement [346]  of oor plate structure in railway passenger train by GA [244]  of GAs using the Taguchi method [76]  of injection molding conditions using GA [151]  of process plans by GAs [420]  of the layout of trusses combining strategies based on Mitchell's theorem and on the biological principles of evol. [243]  techniques based on the use of GAs (GAs) for logic impl. on FPGAs [351] { On interval factorial GA in global  [374] { Partial automated design  based on adaptive search techniques [62] { Perf. and area  of VLSI syst. using GAs [344] { Perf. and area  of VLSI syst. using GAs [466] { Robust GAs for  problems in aerodynamic design [58] { Gplace: GA for placement  [376] { Selecting and applying distribution  methods [470] { Shape Rep. for evol.  and ident. in structural mechanics [362] { Shape  of closed slot type permanent magnet motors for cogging torque reduction using ES [489] { Shape  of diesel fuel injection cam by GA [480] { Shape  of diesel engine camshaft by GA [94] { Standard Cell Routing  Using A GA [426] { Structural  with the GA [306] { Survey of discrete variable  for structural design [22] { Syst. design under uncertainty: Evol.  of the gravity probe-B spacecraft [460] { The use of GAs in shape design  [483] { Three-dimensional shape  utilizing a learning classi er syst. [132] { Tolerance  using GA and approximated simulation [425] { Towards structural  via the GA [122] { Turbine preliminary design using arti cial intelligence and numerical  [156] optimizations Eng.  using the structured GA [207] optimize GAP: a GA appr. to  two-bit decoder PLAs [457] optimizer A new  for the facility layout problem [169] optimizing A knowledge-based syst. for  workplace layouts using a GA [247]  exible manufacturing syst. layout with GAs [17] { Using a GA for  zed polarity Reed-Muller expansions of Boolean functions [249] optimum Uni ed multidisciplinary  design method using GAs [149] order Higher  evol. strategies for the global opt. of electromagnetic devices [18] organization Automating the layout of network diagrams with speci ed visual  [234] orientation GAs for the module  problem [458] Ottimizzazione di cavita RF per acceleratori di particelle [361] over A distr. GA  a transputer based par. machine for survivable communication netwodk Design

Genetic algorithms and CAD [53] overcome Use of fuzzy logic to  constraint problems in GAs [68] Overview of a generic evol. design syst. [141] { The use of a GA for minimum length nozzle design - A process  [427] package Esp: A new standard cell placement  using simulated evol. [250] packages Optical  look for global minima [83] packing On GAs for the  of polygons [100] paralleles Alg. genetiques  pour la plani cation de trajectoires de robots en environnement dynamique [361] parallel A distr. GA over a transputer based  machine for survivable communication netwodk Design [424] { A  GA for Network-Diagram Layout [288] { A  GA for transonic airfoil opt. [384] { An adaptive  GA for VLSI-layout opt. [486] { Investigating a  breeder GA on the inverse aerodynamic design [91]  GA for channel routing [368]  GAs implemented on transputers [383]  opt. statistical design method based on GA [478]  solution of opt. shape design problem governed by Helmholtz/potential ow equations [455] { Stepwise-overlapped  annealing and its appl. to

oorplan design [471] { The reconstruction of an airfoil in 2D potential ow using a GA on a  computer [215] { VLSI circuit synthesis using a  GA [293] { VLSI standard-cell placement by  hybrid simulatedannealing and GA [444] parallele Massiv  genetische Algorithmen, Beitrage zum Tag der Informatik Erlangen 1993 [75] Parallelisation of GA for aerodynamic design opt. [445] Parameter A Gen. Appr. to Standard Cell Placement Using Meta-Genetic  Opt. [37] { Superquadrics  estimation from shading image using GA [96] Parametric A Comparative Evaluation of Search Methods Appl. to  Design of Aircraft [97] { GAs in  Design of Aircraft [353] Pareto Using  GA for preliminary subsonic wing design [374] Partial automated design opt. based on adaptive search techniques [458] particelle Ottimizzazione di cavita RF per acceleratori di  [295] partitioner A GA-based circuit  for MCMs [292] partitioning An adaptive GA for VLSI circuit  [377] { An evol. appr. to hardware/software  [180] { An evol. -based appr. to  ASIC syst. [176] { Analog component placement by GAs | part I:  [177] { Analogue placement by formulation of macrocomponents and gen.  [257] { Fast and stable hybrid GA for the ratio-cut  problem on hypergraphs [245] { GA for MCM  [339] { Gen. multiway  [283] { Impl. and evaluation of GAs for syst.  [346] passenger Opt. of oor plate structure in railway  train by GA [347] paths High-level synthesis of data  for easy testability [398] Pattern A GA Appr. to Visual Model-based Half-tone  Design [131] { Neural network and gen. learning alg. for computeraided design and  recognition [356] { Solving  nesting problems with GAs employing task decomposition and contact detection [279] PCB Appl. of mutants as operators of GAs for optimising of VLSI and  elements placement on the basis of scanning area method [370] peptides Appl. of GAs to de novo design of therapeutic  [Abstract of a poster] [62] Performance and area opt. of VLSI syst. using GAs [344]  and area opt. of VLSI syst. using GAs [345]  driven standard-cell placement using the GA [196] Performance-driven Gen. -synthesis:  logic synthesis using gen. evol. [202]  global routing based on simulated evol. [362] permanent magnet Shape opt. of closed slot type  motors for cogging torque reduction using ES [268] perspective An experimental design  on GAs [299] { Epistasis in GAs: An experimental design  [367] petroleum Spacial reasoning with GAs, An appl. in planning of safe liquid  gas site [372] physical A GA for VLSI  design automation [366] { GAs appl. to the  design of VLSI circuits: A survey

Permuted title index [371] { VLSI  Design Automation, Theory and Practice [338] { VLSI  Design Automaton: Theory and Practice [203] piirisimulointi GA ja  [GA and circuit simulation] [229] Pioneer A new tool for coding of multi-level nite state machines based on evol. prog. [9] pipe Constrained gas network  sizing with GAs [205] pipelining Software  a GA appr. [434] placement A distr. GA for standard cell  on a network of workstations [416] { A feasibility study of gen.  [109] { A GA for macro cell  [445] { A Gen. Appr. to Standard Cell  Using Meta-Genetic Parameter Opt. [16] { A module  using GAs [28] { A study on appl. of GA to automatic  of parts on printed circuit boards [176] { Analog component  by GAs | part I: Partitioning [177] { Analogue  by formulation of macrocomponents and gen. partitioning [87] { Appl. of gen. based alg. to opt. capacitor  [279] { Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements  on the basis of scanning area method [417, 418] { Block  by improved simulated annealing based on GA [321] { Cell  by GA [399] { Gen.  [185] { Macro-cell and module  by gen. adaptive search with bitmap-represented chromosome [381] { MCM/IC timing-driven  alg. featuring explicit design space exploration [95] { Opt. capasitor  in distribution syst. by GA [309] { Opt. feeder routing and opt. substation sizing and  using guided evol. SA [178] { Opt.  of actuators in actively cntr. structures using GAs [429] { Opt. by simulated evol. with appl. to standard cell  [345] { Perf. driven standard-cell  using the GA [290] { Polycell  for analog LSI chip designs by GAs and tabu search [263] { SAGA: a uni cation of the GA with simulated annealing and its appl. to macro-cell  [427] { Esp: A new standard cell  package using simulated evol. [428] { Esp:  by simulated evol. [447] { Gasp - a GA for standard cell  [58] { Gplace: GA for  opt. [136] { Sensor  for on-orbit modal ident. of large space structure via a GA [446] { Standard Cell  and the GA [301] { Timing driven GA for standard-cell  [293] { VLSI standard-cell  by par. hybrid simulatedannealing and GA [154, 155] { Wolverines: standard cell  on a network of workstations [112] placing GAs for  actuators on space structures [100] plani cation Alg. genetiques paralleles pour la  de trajectoires de robots en environnement dynamique [47] planning GA appl. to radiotherapy treatment  [367] { Spacial reasoning with GAs, An appl. in  of safe liquid petroleum gas site [151] plans Opt. of process  by GAs [452] plant A quantitative appr. to the  layout problem using GAs [207] PLAs GAP: a GA appr. to optimize two-bit decoder  [346] plate Opt. of oor  structure in railway passenger train by GA [115] PLAYOUT Chip assembly in the  VLSI design syst. [52] plot-association The design of active sonar  gates using a GA [166] Plymouth Applying the GA to design problems: Progress at the  Eng. Design Center [163] pneumatic The utilization of the GA for the opt. design of a  hydropower device [286] polarity A GA for minimization of xed  Reed-Muller expressions [251] { OFDD based minimization of xed  Reed-Muller expressions using hybrid GAs [17] { Using a GA for opt. zed  Reed-Muller expansions of Boolean functions [78] pole Opt.  shape design for the reduction of cogging torque of brushless DC motor using ES [195] policy A novel methodology using GAs for the design of caches and cache replacement 

41 [290] Polycell placement for analog LSI chip designs by GAs and tabu search [200] Polygonal approximation of closed curve by GA [83] polygons On GAs for the packing of  [441] populations Using GAs with small  [471] potential The reconstruction of an airfoil in 2D  ow using a GA on a par. computer [12, 106] { The  of GAs for conceptual design of rotor syst. [464] { The  of GAs for subsonic wing design [355] power A gen. framework for the high-level opt. of low  VLSI DSP syst. [159] { Appl. of a GA to meter allocation in electric  syst. [380] { Gen. framework for the high level opt. of low  VLSI DSP syst. [99] power-of-two Multiplier-less FIR lter design with  coecients [419] praktische Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf  Probleme der Leichtbaukonstruktion [422] press New appr. for the nesting of two-dimensional shapes for  tool design [127] Pressure Locating  Cntr. Elements for Leakage Minimization in Water Supply Networks by GAs [28] printed circuit boards A study on appl. of GA to automatic placement of parts on  [22] probe-B Syst. design under uncertainty: Evol. opt. of the gravity  spacecraft [451] problem A GA appr. to the facility layout  [158] { A gen. appr. to the dimension drawing  [457] { A new Opt. for the facility layout  [452] { A quantitative appr. to the plant layout  using GAs [197] { An appl. of GAs to solve the layer assignment  in multi chip modules [258] { An appr. to a  in network design using GAs [437] { Appl. of GAs to the keyboard opt.  [88] { Applying GAs to the state assignment  a case study [277] { Designing GAs for the state assignment  [105] { Distr. GAs for the oorplan design  [442] { Evol. network design & the contiguity  [253] { Evol. structuring of neural networks by solving a binary  [414] { Experimentation with an adaptive search strategy for solving a key-board design/con guring  [257] { Fast and stable hybrid GA for the ratio-cut partitioning  on hypergraphs [465] { GA for aerodynamic inverse opt.  [101] { GA for node partitioning  and appl. in VLSI design [453] { GA opt. appl. to variations of the unequal area facilities layout  [234] { GAs for the module orientation  [124] { Gen. search | An appr. to the nonconvex opt.  [213, 262] { Gen. search and the dynamic facility layout  [348] { Multirow machine layout  in fuzzy environment using GAs [222] { Study of gen. crossover operations on the facilities layout  [224] { Using an annealing GA to solve global energy minimization  in molecular binding [419] Probleme Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf praktische  der Leichtbaukonstruktion [166] problems Applying the GA to design  Progress at the Plymouth Eng. Design Center [248] { Demand/supply relationship in transportation network design  A GA appr. [382] { GA-based appr. to cell composition and layout design  [466] { Robust GAs for opt.  in aerodynamic design [400] { Solving xed con guration  with gen. search [199] { Solving gate-matrix layout  by simulated evol. [356] { Solving pattern nesting  with GAs employing task decomposition and contact detection [443] { Stochastic evol. : a fast e ective heuristics for some generic layout  [285] problem-space Datapath synthesis using a  GA [394] process A GAic framework for  design and opt. [39] { Automatic hardware design with an evol.  [151] { Opt. of  plans by GAs [21] { Production GAs for automated hardware design through an evol.  [164] { The concrete arch dam, An evol. model of the design  [141] { The use of a GA for minimum length nozzle design - A  overview

42 [29] processing Evol. al opt. of product design based on concurrent  of design and manufacturing info [354] { Gen. synthesis techniques for low-power digital signal  circuits [29] product Evol. al opt. of  design based on concurrent processing of design and manufacturing info [108] { Evol. inheritance and delegation as mechanisms in knowledge prog. for eng.  design [45] product model Generic building  incorporating building type info [21] Production GAs for automated hardware design through an evol. process [219] productivity Opt. tolerancing: the link between design and manufacturing  [210] programming Classi er design using evol.  [108] { Evol. inheritance and delegation as mechanisms in knowledge  for eng. product design [44] { Multi-element di ractive optical designs using evol.  [229] { Pioneer: A new tool for coding of multi-level nite state machines based on evol.  [166] Progress Applying the GA to design problems:  at the Plymouth Eng. Design Center [233] promote The impl. of adaptive search tools to  global search in eng. design [287] propagation Designing max-min  NNs by hyperplane switching [307] properties Evol. design of molecules with desired  using the GA [463, 474] Proposal of constructive alg. and discrete shape design of the strongest column [456] qqualitative GA with  knowledge enchancement for layout design under continuous space formulation [271] QSAR+ Cerius2 Release 1.6, Drug Discovery Workbench  User's Reference, Chapter 16: Introduction to gen. function approximation [452] quantitative A  appr. to the plant layout problem using GAs [47] radiotherapy GA appl. to  treatment planning [346] railway Opt. of oor plate structure in  passenger train by GA [320] rakenteen Geneettiset alg. it neuroverkkojen opetuksessa ja  suunnittelussa [280] RAM-based TRACER-fpga: a router for  FPGA's [257] ratio-cut Fast and stable hybrid GA for the  partitioning problem on hypergraphs [373] RBF Evol. synthesis of dynamical object emulator based on  neural network [439] real Fittest lters in  world [174] { Opt. multilayer lter design using  coded GAs [367] reasoning Spacial  with GAs, An appl. in planning of safe liquid petroleum gas site [81] Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en [Computer-aided design of manipulators with GAs] [430] Rechnernetzwerkes Auslegung eines  mit minimalem Kommunikationsaufwand mittels evol. arer Algorithmen [131] recognition Neural network and gen. learning alg. for computer-aided design and pattern  [336] recombination Developing an integrated framework for the design of manufacturing syst. using the gen.  technique [471] reconstruction The  of an airfoil in 2D potential ow using a GA on a par. computer [284] rectilinear Evol. prog. for design of  branched networks [31] recurrent Use of  networks and GAs for solving standard cell placement problem [406] Recursive adaptive lter design using an adaptive GA [337] reduction A gen. appr. to test appl. time  for full scan circuits [78] { Opt. pole shape design for the  of cogging torque of brushless DC motor using ES [362] { Shape opt. of closed slot type permanent magnet motors for cogging torque  using ES [401] redundant An evol. standing on the design of  manipulators [286] Reed-Muller A GA for minimization of xed polarity  expressions [17] { Using a GA for opt. zed polarity  expansions of Boolean functions [251] Reed-Muller expressions OFDD based minimization of xed polarity  using hybrid GAs [271] Reference Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's  Chapter 16: Introduction to gen. function approximation

Genetic algorithms and CAD [248] relationship Demand/supply  in transportation network design problems: A GA appr. [271] Release Cerius2  1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [198] remarks Some  on computer-aided design of optical lens syst. [195] replacement A novel methodology using GAs for the design of caches and cache  policy [183] representation Model-based matching using a minimum  size criterion and a hybrid GA [470] { Shape  for evol. opt. and ident. in structural mechanics [56] { Shape  for opt. [92] representations GA  for laminate layups [304] responce surface modeling Appl. of GA for  in opt. statistical design [187] Restrictive channel routing with evol. prog. [310] review Evol. alg. in neural network design and training {A [458] RF Ottimizzazione di cavita  per acceleratori di particelle [312] robot Multiobjective design opt. of counterweight balancing of a  arm using GAs [100] robots Alg. genetiques paralleles pour la plani cation de trajectoires de  en environnement dynamique [466] Robust GAs for opt. problems in aerodynamic design [116] role A  for GAs in a preliminary design environment [80] { GA in the  of a shell for structural evol. simulation at the conceptual design stage [12, 106] rotor The potential of GAs for conceptual design of  syst. [473] rotor blade GAs in multidisciplinary  design [43] rotorcraft Using GAs as an automated methodology for conceptual design of  [110] router A detailed  based on simulated evol. [40] { A macro-cell global  based on two GAs [238] { Modi ed gen. channel  [111] { SILK: Simulated evol.  [280] { TRACER-fpga: a  for RAM-based FPGA's [413] routing A GA for the  of VLSI circuits [333] { New GA for single row  [309] { Opt. feeder  and opt. substation sizing and placement using guided evol. SA [202] { Perf. -driven global  based on simulated evol. [94] { Standard Cell  Opt. Using A GA [308] routing-problems Genrouter: a GA for channel  [333] row New GA for single  routing [326] rule-based An integrated shape opt. appr. using GAs and fuzzy  syst. [367] safe Spacial reasoning with GAs, An appl. in planning of  liquid petroleum gas site [263] SAGA a uni cation of the GA with simulated annealing and its appl. to macro-cell placement [379] satisfaction An immune network model for constraint  in eng. design [25] { GAs versus simulated annealing {  of large sets of algebraic mechanical design constraints [337] scan A gen. appr. to test appl. time reduction for full  circuits [279] scanning Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of  area method [254] scheduling GA for test  with di erent objectives [252] { Gen.  of task graphs [322] { High-level synthesis  and allocation using GAs [393] { Integrated  allocation and module sel. for designspace exploration in high-level synthesis [72] scheme Encoding  issues for open-ended arti cial evol. [218] { Modular  for designing special purpose associative memories and beyond [96] Search A Comparative Evaluation of  Methods Appl. to Parametric Design of Aircraft [259] { Adaptive  and eng. design [369] { Adaptive  strategies to maintain diverse global  for preliminary and whole syst. design [275] { Adaptive  techniques for decision support during preliminary eng. design [274] { Adaptive  tools and their integration with eng. design [188] { Comparison of global  methods for design opt. using simulation [10] { Design opt. with advanced gen.  strategies [334] { Diverse evol.  for preliminary whole syst. design [298] { Diverse evol.  for preliminary whole syst. design

Permuted title index [414] { Experimentation with an adaptive  strategy for solving a key-board design/con guring problem [360] { Form/function/cost tradeo s through adaptive  [488] { Fuzzy cntr. GA  for shape opt. [240] { Gen. beam  for gate matrix layout [124] { Gen.  | An appr. to the nonconvex opt. problem [213, 262] { Gen.  and the dynamic facility layout problem [281] { Gen.  for facility layout design under inter ows uncertainty [125] { Gen.  strategies in multicriterion opt. design [408] { Knowledge based assistance of gen.  in large design space [185] { Macro-cell and module placement by gen. adaptive  with bitmap-represented chromosome [261] { MCM layer assignment using gen.  [374] { Partial automated design opt. based on adaptive  techniques [400] { Solving xed con guration problems with gen.  [231] { State assignment for low-power FSM synthesis using gen. local  [272] { Techniques to aid global  in eng. design [269] { The development of a directed gen.  technique for heavily constrained design spaces [86] { The development of a dual-agent strategy for ecient  across whole syst. eng. design hierarchies [233] { The impl. of adaptive  tools to promote global  in eng. design [266] { The integration of adaptive  with current eng. design practice [278] { Towards opt. circuit layout using advanced  techniques [341] { Unequal-area facility layout by gen.  [225] section Design neural networks with GAs for fault  estimation [376] Selecting and applying distribution opt. methods [397] selection Component  opt. using GAs [405] { Design by nat.  [393] { Integrated sch. , allocation and module  for designspace exploration in high-level synthesis [136] Sensor placement for on-orbit modal ident. of large space structure via a GA [387] sequencing A GA for data  [19] { Feature  in the Rapid Design Syst. using a GA [25] sets GAs versus simulated annealing { satisfaction of large  of algebraic mechanical design constraints [37] shading Superquadrics parameter estimation from  image using GA [482] shape A learning classi er syst. for three-dimensional  opt. [495] { A study on gen.  design [493] { Aerodynamic  opt. by means of a GA [476] { Aerodynamic  opt. by means of hybrid GA [326] { An integrated  opt. appr. using GAs and fuzzy rulebased syst. [472, 331] { Appl. of GA to aerodynamic  opt. [462] { Cross-sectional and geometrical  opt. by means of GA [488] { Fuzzy cntr. GA search for  opt. [49] { Gen. operators for two-dimensional  opt. [467] { Hybrid GA for multi objective aerodynamic  opt. [481] { Improving design of cam  used in valvetrain of internal-combustion engine using a GA [362]  opt. of closed slot type permanent magnet motors for cogging torque reduction using ES [489]  opt. of diesel fuel injection cam by GA [480]  opt. of diesel engine camshaft by GA [470]  Rep. for evol. opt. and ident. in structural mechanics [56]  Rep. for opt. [78] { Opt. pole  design for the reduction of cogging torque of brushless DC motor using ES [463, 474] { Proposal of constructive alg. and discrete  design of the strongest column [460] { The use of GAs in  design opt. [483] { Three-dimensional  opt. utilizing a learning classi er syst. [478] shape design problem Par. solution of opt.  governed by Helmholtz/potential ow equations [469] Shape Optimization Zeroth-Order  Utilizing a Learning Classi er Syst. [422] shapes New appr. for the nesting of two-dimensional  for press tool design [48] { The nesting of two-dimensional  using GAs [80] shell GA in the role of a  for structural evol. simulation at the conceptual design stage [354] signal Gen. synthesis techniques for low-power digital  processing circuits

43 [391] signal processing Gen. synthesis techniques for lowpower digital  circuits [111] SILK Simulated evol. router [110] simulated A detailed router based on  evol. [193] { Applying  evol. to high level synthesis [309] { Opt. feeder routing and opt. substation sizing and placement using guided evol.  annealing [429] { Opt. by  evol. with appl. to standard cell placement [202] { Perf. -driven global routing based on  evol. [427] { Esp: A new standard cell placement package using  evol. [428] { Esp: Placement by  evol. [111] { SILK:  evol. router [199] { Solving gate-matrix layout problems by  evol. [417, 418] simulated annealing Block placement by improved  based on GA [130] { Floorplanning by improved  based on GAs [25] { GAs versus  { satisfaction of large sets of algebraic mechanical design constraints [263] { SAGA: a uni cation of the GA with  and its appl. to macro-cell placement [342] { Two-stage  methodology [293] simulated-annealing VLSI standard-cell placement by par. hybrid  and GA [188] simulation Comparison of global search methods for design opt. using  [203] { GA ja piirisimulointi [GA and circuit  [363] { GA's in decomposition based design - Subsyst. interactions through immune network  [80] { GA in the role of a shell for structural evol.  at the conceptual design stage [113] { Opt. tolerance allotment using a GA and truncated Monte-Carlo  [132] { Tolerance opt. using GA and approximated  [246] Simultaneous type and dimensional synthesis of mechanisms by GAs [221] single Neural-network designs with gen. learning for cntr. of a  link exible manipulator [333] { New GA for  row routing [367] site Spacial reasoning with GAs, An appl. in planning of safe liquid petroleum gas  [183] { Model-based matching using a minimum Rep.  criterion and a hybrid GA [9] sizing Constrained gas network pipe  with GAs [309] { Opt. feeder routing and opt. substation  and placement using guided evol. SA [162] { Opt.  geometrical and topological design using a GA [294] { The GA appl. to gate  [313] Skeleton-based facility layout design using GAs [296] sliding Appl. of GAs in  mode design [362] slot Shape opt. of closed  type permanent magnet motors for cogging torque reduction using ES [311] Soft computing appr. to hardware software codesign [205] Software pipelining: a GA appr. [311] { Soft computing appr. to hardware  codesign [491] Solid Chapter 12. The Evol. of  Object Designs using GAs [490] { Generic Evol. Design of  Objects using a GA [478] solution Par.  of opt. shape design problem governed by Helmholtz/potential ow equations [197] solve An appl. of GAs to  the layer assignment problem in multi chip modules [449] { An attempt to  channel routing using GA [224] { Using an annealing GA to  global energy minimization problem in molecular binding [253] solving Evol. structuring of neural networks by  a binary problem [414] { Experimentation with an adaptive search strategy for  a key-board design/con guring problem [232]  concentrator location-problems using GAs [400]  xed con guration problems with gen. search [199]  gate-matrix layout problems by simulated evol. [356]  pattern nesting problems with GAs employing task decomposition and contact detection [31] { Use of recurrent networks and GAs for  standard cell placement problem [52] sonar The design of active  plot-association gates using a GA [388] space Design  exploration using the GA [456] { GA with qqualitative knowledge enchancement for layout design under continuous  formulation [112] { GAs for placing actuators on  structures [408] { Knowledge based assistance of gen. search in large design 

44 [381] { MCM/IC timing-driven placement alg. featuring explicit design  exploration [136] { Sensor placement for on-orbit modal ident. of large  structure via a GA [22] spacecraft Syst. design under uncertainty: Evol. opt. of the gravity probe-B  [269] spaces The development of a directed gen. search technique for heavily constrained design  [367] Spacial reasoning with GAs, An appl. in planning of safe liquid petroleum gas site [237] sparse Gen. design of  feedforward neural networks [18] speci ed Automating the layout of network diagrams with  visual organization [403] speed GAs and communication link  design: constraints and operators [402] { GAs and communication link  design: theoretical considerations [257] stable Fast and  hybrid GA for the ratio-cut partitioning problem on hypergraphs [102] Stack A GA Appr. to the Con guration of  Filters [61] stage Design of astronomical telescopes of two mirrors using GA in the  of opt. [80] { GA in the role of a shell for structural evol. simulation at the conceptual design  [432] stages Integrating design  of fuzzy syst. using GA [445] Standard A Gen. Appr. to  Cell Placement Using Meta-Genetic Parameter Opt. [446]  Cell Placement and the GA [94]  Cell Routing Opt. Using A GA [429] { Opt. by simulated evol. with appl. to  cell placement [427] { Esp: A new  cell placement package using simulated evol. [447] { Gasp - a GA for  cell placement [154, 155] { Wolverines:  cell placement on a network of workstations [434] standard cell A distr. GA for  placement on a network of workstations [31] standard cell placement problem Use of recurrent networks and GAs for solving  [345] standard-cell Perf. driven  placement using the GA [301] { Timing driven GA for  placement [293] { VLSI  placement by par. hybrid simulated-annealing and GA [401] standing An evol.  on the design of redundant manipulators [88] state Applying GAs to the  assignment problem: a case study [277] { Designing GAs for the  assignment problem [231]  assignment for low-power FSM synthesis using gen. local search [229] { Pioneer: A new tool for coding of multi-level nite  machines based on evol. prog. [304] statistical Appl. of GA for responce surface modeling in opt.  design [383] { Par. opt.  design method based on GA [455] Stepwise-overlapped par. annealing and its appl. to

oorplan design [181] stochastic Comb. opt. by  evol. [443]  evol. : a fast e ective heuristics for some generic layout problems [129] Strategien Chip-Assembly  bei der Layout-Synthese nach Floorplan-Vorgaben [369] strategies Adaptive search  to maintain diverse global search for preliminary and whole syst. design [120] { Comparison of di erent opt.  in the design of electromagnetic devices [10] { Design opt. with advanced gen. search  [125] { Gen. search  in multicriterion opt. design [420] { Opt. of the layout of trusses combining  based on Mitchell's theorem and on the biological principles of evol. [414] strategy Experimentation with an adaptive search  for solving a key-board design/con guring problem [78] { Opt. pole shape design for the reduction of cogging torque of brushless DC motor using evol.  [362] { Shape opt. of closed slot type permanent magnet motors for cogging torque reduction using evol.  [86] { The development of a dual-agent  for ecient search across whole syst. eng. design hierarchies [463, 474] strongest Proposal of constructive alg. and discrete shape design of the  column [175] structural Computer aided opt. design of  syst. using GAs [80] { GA in the role of a shell for  evol. simulation at the conceptual design stage

Genetic algorithms and CAD [212] { GA-based  topology design with compliance and manufacturability considerations [126] { GAs in  topology opt. [378]  cell-based VLSI circuit design using a GA [426]  opt. with the GA [390]  synthesis of cell-based VLSI circuits using a multiobjective geentic alg. [386]  synthesis of cell-based VLSI circuits using a multiobjective GA [470] { Shape Rep. for evol. opt. and ident. in  mechanics [425] { Towards  opt. via the GA [306] structural design Survey of discrete variable opt. for  [327] structure Design of a compact cluster  by using GAs [145] { Designer GAs: Gen. Alg. in  Design [346] { Opt. of oor plate  in railway passenger train by GA [136] { Sensor placement for on-orbit modal ident. of large space  via a GA [220] Structure-based drug design ten years on [435, 436] structured Designing appl. -speci c neural networks using the  GA [156] { Eng. opt. s using the  GA [317] structures Appl. of GA to aesthetic design of bridge  [123] { Appl. of the GA to easthetic design of dam  [273] { Computer-assisted drug design: GAs and  of molecular clusters of aromatic hydrocarbons and actinomycin Ddeoxyguanosine [112] { GAs for placing actuators on space  [178] { Opt. placement of actuators in actively cntr.  using GAs [55] { Using GAs to design laminated composite  [144] { Using GAs to design  [392] { Using gen. eng. to nd modular  and activation functions for architectures of arti cial neural networks [253] structuring Evol.  of neural networks by solving a binary problem [143] Strukturkomponenten Entwicklung von ComputerAlgorithmen zur Opt. von  nach der Evol. stheorie [464] subsonic The potential of GAs for  wing design [353] { Using Pareto GA for preliminary  wing design [309] substation Opt. feeder routing and opt.  sizing and placement using guided evol. SA [363] Subsystem GA's in decomposition based design -  interactions through immune network simulation [305] suggest Using a GA to  comb. libraries [37] Superquadrics parameter estimation from shading image using GA [127] Supply Locating Pressure Cntr. Elements for Leakage Minimization in Water  Networks by GAs [275] support Adaptive search techniques for decision  during preliminary eng. design [206] { Appl. of GA for the  location opt. of beams [54] surfaces Gen. computation of geodesics on threedimensional curved  [407] survey A  of IIR adaptive ltering alg. [366] { GAs appl. to the physical design of VLSI circuits: A  [306]  of discrete variable opt. for structural design [361] survivable A distr. GA over a transputer based par. machine for  communication netwodk Design [404] { A GA for  network design [320] suunnittelussa Geneettiset alg. it neuroverkkojen opetuksessa ja rakenteen  [287] switching Designing max-min propagation NNs by hyperplane  [409] symbolic Compaction of  layout using GAs [375, 385] synthesis An evol. appr. to syst. -level  [193] { Applying simulated evol. to high level  [214] { Circuit  through gen. prog. [66] { DARWIN: analogue circuit  based on GAs [50] { DARWIN: CMOS opamp  by means of a GA [285] { Datapath  using a problem-space GA [373] { Evol.  of dynamical object emulator based on RBF neural network [182] { GAs for the opt. of integrated circuits  [354] { Gen.  techniques for low-power digital signal processing circuits [391] { Gen.  techniques for low-power digital signal processing circuits [196] { Gen. -synthesis: Perf. -driven logic  using gen. evol. [347] { High-level  of data paths for easy testability [322] { High-level  sch. and allocation using GAs [297] { High-level  using GA [228] { Hybrid GAs with hyperplane  A theoretical and empirical study

Permuted title index [393] { Integrated sch. , allocation and module sel. for designspace exploration in high-level  [204] { On the  of gate matrix layout [246] { Simultaneous type and dimensional  of mechanisms by GAs [231] { State assignment for low-power FSM  using gen. local search [390] { Structural  of cell-based VLSI circuits using a multiobjective geentic alg. [386] { Structural  of cell-based VLSI circuits using a multiobjective GA [85] { Use of automatically de ned functions and architecture-altering operations in automated circuit  using gen. prog. [215] { VLSI circuit  using a par. GA [375, 385] system-level An evol. appr. to  synthesis [42] table The  An illustration of evol. design using GAs [290] tabu search Polycell placement for analog LSI chip designs by GAs and  [444] Tag Massiv par. e genetische Algorithmen, Beitrage zum  der Informatik Erlangen 1993 [244] Taguchi method Opt. of GAs using the  [230] tailored Evol. design of appl.  neural networks [252] task Gen. sch. of  graphs [356] { Solving pattern nesting problems with GAs employing  decomposition and contact detection [275] techniques Adaptive search  for decision support during preliminary eng. design [165] { Evol.  and their appl. to eng. design [30] { GA  for 3-valued transistor design [354] { Gen. synthesis  for low-power digital signal processing circuits [391] { Gen. synthesis  for low-power digital signal processing circuits [160] { Keyboard opt. using gen.  [243] { Opt.  based on the use of GAs (GAs) for logic impl. on FPGAs [374] { Partial automated design opt. based on adaptive search  [278] { Towards opt. circuit layout using advanced search  [60] technologies Use of gen. and neural  in oil equipment computer-aided design [329] technology Improved  mapping using a new appr. to Boolean matching [61] telescopes Design of astronomical  of two mirrors using GA in the stage of opt. [337] test A gen. appr. to  appl. time reduction for full scan circuits [254] { GA for  sch. with di erent objectives [347] testability High-level synthesis of data paths for easy  [82] testable A GA for the construction of small and highly  OKFDD circuits [420] theorem Opt. of the layout of trusses combining strategies based on Mitchell's  and on the biological principles of evol. [402] theoretical GAs and communication link speed design:  considerations [228] { Hybrid GAs with hyperplane synthesis: A  and empirical study [117, 118] theory GAs as a computational  of conceptual design [371] { VLSI Physical Design Automation,  and Practice [338] { VLSI Physical Design Automaton:  and Practice [370] therapeutic Appl. of GAs to de novo design of  peptides [Abstract of a poster] [482] three-dimensional A learning classi er syst. for  shape opt. [54] { Gen. computation of geodesics on  curved surfaces [483]  shape opt. utilizing a learning classi er syst. [337] time A gen. appr. to test appl.  reduction for full scan circuits [301] Timing driven GA for standard-cell placement [350]  in uenced general-cell gen. oorplanner [381] timing-driven MCM/IC  placement alg. featuring explicit design space exploration [132] Tolerance opt. using GA and approximated simulation [113] { Opt.  allotment using a GA and truncated MonteCarlo simulation [219] tolerancing Opt.  the link between design and manufacturing productivity [146] tool GAs as a computational  for design [422] { New appr. for the nesting of two-dimensional shapes for press  design [229] { Pioneer: A new  for coding of multi-level nite state machines based on evol. prog.

45 [274] tools Adaptive search  and their integration with eng. design [233] { The impl. of adaptive search  to promote global search in eng. design [162] topological Opt. sizing, geometrical and  design using a GA [475] topologique Alg. genetiques et Opt.  [74] topology Automated WYSIWYG design of both the  and component values of electrical circuits using gen. prog. [67] { GA for distr. syst.  design [212] { GA-based structural  design with compliance and manufacturability considerations [126] { GAs in structural  opt. [227] { Gen. evol. of the  and weight distribution of neural networks [454] { The design of a multipoint line  for a communication network using GAs [78] torque Opt. pole shape design for the reduction of cogging  of brushless DC motor using ES [362] { Shape opt. of closed slot type permanent magnet motors for cogging  reduction using ES [280] TRACER-fpga a router for RAM-based FPGA's [360] tradeo s Form/function/cost  through adaptive search [346] train Opt. of oor plate structure in railway passenger  by GA [310] training Evol. alg. in neural network design and  { A review [223] { Neurogen. learning: An integrated method of designing and  NNs [100] trajectoires Alg. genetiques paralleles pour la plani cation de  de robots en environnement dynamique [192] trajectories A GA for minimum-time  [30] transistor GA techniques for 3-valued  design [288] transonic A par. GA for  airfoil opt. [459, 335] { GAs appl. to the aerodynamic design of  airfoils [479]  airfoil design by means of a GA [248] transportation Demand/supply relationship in  network design problems: A GA appr. [361] transputer A distr. GA over a  based par. machine for survivable communication netwodk Design [368] transputers Par. GAs implemented on  [47] treatment GA appl. to radiotherapy  planning [412] tree Evol. design for the opt. layout of  networks [431] { Opt. layout of  networks using GAs [113] truncated Opt. tolerance allotment using a GA and  Monte-Carlo simulation [420] trusses Opt. of the layout of  combining strategies based on Mitchell's theorem and on the biological principles of evol. [11] { Using GAs for opt. design of  [122] Turbine preliminary design using arti cial intelligence and numerical opt. [90]  preliminary design using GAs [207] two-bit GAP: a GA appr. to optimize  decoder PLAs [49] two-dimensional Gen. operators for  shape opt. [422] { New appr. for the nesting of  shapes for press tool design [48] { The nesting of  shapes using GAs [342] Two-stage simulated annealing methodology [45] type Generic building product model incorporating building  info [362] { Shape opt. of closed slot  permanent magnet motors for cogging torque reduction using ES [246] { Simultaneous  and dimensional synthesis of mechanisms by GAs [281] uncertainty Gen. search for facility layout design under inter ows  [22] { Syst. design under  Evol. opt. of the gravity probe-B spacecraft [453] unequal GA opt. appl. to variations of the  area facilities layout problem [341] Unequal-area facility layout by gen. search [263] uni cation SAGA: a  of the GA with simulated annealing and its appl. to macro-cell placement [171] uni ed EnGENous: a  appr. to design opt. [249]  multidisciplinary optimum design method using GAs [419] Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf praktische Probleme der Leichtbaukonstruktion [77] Usage of back propagation networks in a CAD/CAM syst. [163] utilization The  of the GA for the opt. -design of a pneumatic hydropower device

46 [483] utilizing Three-dimensional shape opt.  a learning classi er syst. [469] { Zeroth-Order Shape Opt.  a Learning Classi er Syst. [74] values Automated WYSIWYG design of both the topology and component  of electrical circuits using gen. prog. [481] valvetrain Improving design of cam shape used in  of internal-combustion engine using a GA [453] variations GA opt. appl. to  of the unequal area facilities layout problem [398] Visual A GA Appr. to  Model-based Half-tone Pattern Design [18] { Automating the layout of network diagrams with speci ed  organization [372] VLSI A GA for  physical design automation [355] { A gen. framework for the high-level opt. of low power  DSP syst. [292] { An adaptive GA for  circuit partitioning [57] { An extended EP alg. for  channel routing [279] { Appl. of mutants as operators of GAs for optimising of  and PCB elements placement on the basis of scanning area method [115] { Chip assembly in the PLAYOUT  design syst. [14] { GA based design opt. of CMOS  circuits [211] { GA for embedding a complete graph in a hypercube with a  appl. [101] { GA for node partitioning problem and appl. in  design [93] { GAs and  circuit design [380] { Gen. framework for the high level opt. of low power  DSP syst. [215]  circuit synthesis using a par. GA [371] VLSI Physical Design Automation, Theory and Practice [338]  Physical Design Automaton: Theory and Practice [293] VLSI standard-cell placement by par. hybrid simulatedannealing and GA [62] { Perf. and area opt. of  syst. using GAs [378] VLSI circuit Structural cell-based  design using a GA [265] VLSI circuits A GA for chennel routing in  [413] { A GA for the routing of  [366] { GAs appl. to the physical design of  A survey [390] { Structural synthesis of cell-based  using a multiobjective geentic alg.

Genetic algorithms and CAD [386] { Structural synthesis of cell-based  using a multiobjective GA [344] VLSI systems Perf. and area opt. of  using GAs [384] VLSI-layout An adaptive par. GA for  opt. [302] VLSI-layouts Gen. design of  [127] Water Locating Pressure Cntr. Elements for Leakage Minimization in  Supply Networks by GAs [227] weight Gen. evol. of the topology and  distribution of neural networks [369] whole Adaptive search strategies to maintain diverse global search for preliminary and  syst. design [334] { Diverse evol. search for preliminary  syst. design [298] { Diverse evol. search for preliminary  syst. design [86] { The development of a dual-agent strategy for ecient search across  syst. eng. design hierarchies [59] wind turbine Appl. of a GA to  design [464] wing The potential of GAs for subsonic  design [353] { Using Pareto GA for preliminary subsonic  design [24] wire routing An evol. method for automatic  [154, 155] Wolverines standard cell placement on a network of workstations [271] Workbench Cerius2 Release 1.6, Drug Discovery  QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [169] workplace A knowledge-based syst. for opt.  layouts using a GA [168] { An expert syst. for ergonomic  design using a GA [434] workstations A distr. GA for standard cell placement on a network of  [154, 155] { Wolverines: standard cell placement on a network of  [439] world Fittest lters in real  [114] worst-case Distribution-syst. harmonic  design using a GA [415] Wright The  brothers, GAs, and the design of complex syst. [74] WYSIWYG Automated  design of both the topology and component values of electrical circuits using gen. prog. [220] years Structure-based drug design ten  on [469] Zeroth-Order Shape Opt. Utilizing a Learning Classi er Syst.

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[492] P. J. Bentley and J. P. Wake eld. Conceptual evolutionary design by genetic algorithms. Engineering Design and Automation Journal, 2(3):?, ? 1996. y(News /Bentley) ga96eBentley. [493] Carlo Poloni and G. Mosetti. Aerodynamic shape optimization by means of a genetic algorithm. In H. Daiguji, editor, Proceedings of the 5th International Symposium on Computational Fluid Dynamics, pages 279{284, Sendai (Japan), August-September 1993. Japan Society of Computational Fluid Dynamics, Tokyo (Japan). y([467]) ga:Poloni93a. [494] R. A. Richards and S. D. Sheppard. Learning classi er systems in design optimization. Design Theory and Methodology, DE-42(?):179{186, ? 1992. y([462]) ga:RARichards92a. [495] Hirokazu Watabe and Norio Okino. A study on genetic shape design. In Forrest [509], pages 445{450. ga:Watabe93a. [496] 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. y ga94PPSN3. [497] 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. ( available via anonymous ftp site ftp.uwasa.fi directory cs/report94-1 le *.ps.Z ) GA:GArapo94. [498] Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheeld (UK), 12.-14. September 1995. IEEE. y(conf. prog.) ga95Sheffield. [499] D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors. Arti cial Neural Nets and Genetic Algorithms, Ales (France), 19.-21. April 1995. Springer-Verlag, Wien New York. ga95ICANNGA. [500] Pavel Osmera, editor. Proceedings of the MENDEL'95, Brno (Czech Republic), 26.-28. September 1995. Technical University of Brno. ga95Brno. [501] Proceedings of the Second Online Workshop on Evolutionary Computation (WEC2), Nagoya (Japan), 4.-22. March 1996. ? ga96WEC2. [502] 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. ( available via anonymous ftp site ftp.uwasa.fi directory cs/2NWGA le *.ps.Z ) ga96NWGA. [503] John R. Koza, David Goldberg, David Fogel, and Rick Riolo, editors. Proceedings of the GP-96 Conference, Stanford, CA, 28.-31. July 1996. MIT Press, Cambridge, MA. y(prog) ga96GP. [504] 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, Plymouth (UK), 26.-28. March 1996. ? (to appear) y(conf.prog.) ga96Plymouth. [505] R. F. Albrecht, C. R. Reeves, and N. C. Steele, editors. Arti cial Neural Nets and Genetic Algorithms, Innsbruck, Austria, 13. -16. April 1993. Springer-Verlag, Wien. ga:ANNGA93. [506] J. David Scha er, editor. Proceedings of the Third International Conference on Genetic Algorithms, Georg Mason University, 4.-7. June 1989. Morgan Kaufmann Publishers, Inc. ga:GA3. [507] Lawrence Davis, editor. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991. ga:Davis91book. [508] Shumeet Baluja and Rich Caruana. Removing the genetics from the standard genetic algorithm. In ?, editor, Proceedings of the Twefth International Conference on Machine Learning, volume ?, page ?, Lake Tahoe, CA, July 1995. ? (also as [?], available via www URL: http://rose.mercury.acs.cmu.edu:80/ ) ga95dBaluja. [509] Stephanie Forrest, editor. Proceedings of the Fifth International Conference on Genetic Algorithms, UrbanaChampaign,IL, 17.-21. July 1993. Morgan Kaufmann, San Mateo, CA. ga:GA5. [510] 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. [511] Richard S. Judson, E. P. Jaeger, and Adi M. Treasurywala. A genetic algorithm based method for docking exible molecules. THEOCHEM, 114(?):191{206, 10. May 1994. y(CCA 56831/94) ga94aJudson. [512] IJCNN'93-NAGOYA Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya (Japan), 25.-29. October 1993. IEEE. ga:IJCNN93. [513] Larry Eshelman, editor. Proceedings of the Sixth International Conference on Genetic Algorithms, Pittsburgh, PA, 15.-19. July 1995. ? y(prog) ga95ICGA.

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Notations

y(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, CCA = Computers & Control Abstracts, CTI = Current Technology Index, EI = The Engineering Index (A = Annual, M = Monthly), DAI = Dissertation Abstracts International, P = Index to Scienti c & Technical Proceedings, BackBib = Thomas Back's unpublished bibliography, Fogel/Bib = David Fogel's EA bibliography, etc * = only abstract seen. ? = data of this eld is missing (BiBTeX-format). The last eld in each reference item in Teletype font is the BiBTEXkey of the corresponding reference.

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Appendix A

Abbreviations

The following other abbreviations were used to compress the titles of articles in the permutation title index: 75

76

Genetic algorithms and CAD AI Alg. AL ANN(s) Appl. Appr. Cntr. Coll. Comb. Conf. CS(s) Distr. Eng. EP ES Evol. ExS(s) FF(s) GA(s) Gen. GP Ident. Impl. Int. ImPr JSS ML Nat. NN(s) Opt. OR Par. Perf. Pop. Proc. Prog. Prob. QAP Rep. SA Sch. Sel. Symp. Syst. Tech. TSP

= Arti cial Intelligence = Algorithm(s) = Arti cial Life = Arti cial Neural Net(work)(s) = Application(s), Applied = Approach(es) = Control, Controlled, Controlling, Controller(s) = Colloquium = Combinatorial = Conference = Classi er System(s) = Distributed = Engineering = Evolutionary Programming = Evolutionsstrategie(n), Evolution(ary) strategies = Evolution, Evolutionary = Expert System(s) = Fitness Function(s) = Genetic Algorithm(s) = Genetic(s), Genetical(ly) = Genetic Programming = Identi cation = Implementation(s) = International = Image Processing = Job Shop Scheduling = Machine Learning = Natural = Neural Net(work)(s) = Optimization, Optimal, Optimizer(s), Optimierung = Operation(s) Research = Parallel, Parallelism = Performance = Population(s), Populational(ly) = Proceedings = Programming, Program(s), Programmed = Problem(s) = Quadratic Assignment Problem = Representation(s), Representational(ly) = Simulated Annealing = Scheduling, Schedule(s) = Selection, Selectionism = Symposium = System(s) = Technical, Technology = Travel(l)ing Salesman Problem

Appendix B

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 diculties in interpreting the entries. For those not so familiar with BibTeX are given the following formats of the most common entry types. The optional elds are enclosed by "[ ]" in the format description. Unknown elds are shown by "?". y 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 Arti cial Systems. The University of Michigan Press, Ann Arbor, 1975.

Journal article

Author(s), Title, Journal, volume(number): rst 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. y.

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 Arti cial Intelligence (IJCAI-89), pages 768{774, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA. y.

Technical report

Author(s), Title, type and number, institute, year.

Example 77

78

Genetic algorithms and CAD Thomas Back, Frank Ho meister, and Hans-Paul Schwefel. Applications of evolutionary algorithms. Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992.

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