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References

1
Self-organization and life, from simple rules to global complexity, Proceedings of the Second European Conference on Artificial Life, Brussels (Belgium), 24.-26. May 1993. MIT Press, Cambridge, MA.

2
Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheffield (UK), 12.-14. September 1995. IEEE

3
Flex 10k embedded programmable logic family. Report A-DS-F10K-01, ALTERA Corp., 1996. 72

4
Proceedings of the 4th Parallel Problem Solving from Nature (PPSN IV), Berlin, 22.-27. September 1996. Springer Verlag (to appear).

5
E. Aarts and J. Korst. Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing. John Wiley & Sons, Chichester, 1989.

6
Ulrich Adler, editor. Automotive handbook. Robert Bosch GmbH, Stuttgart, 3rd edition, 1993. 196

7
Ulrich Adler and Erich Kaufmann, editors. Diesel-Einspritzausröstung (1). Bosch Technische Unterrichtung VDT-UBP 001/15. Robert Bosch GmbH, Stuttgart, 1970. 196

8
Jarmo T. Alander. On finding the optimal genetic algorithms for robot control problems. In Proceedings IROS '91 IEEE/RSJ International Workshop on Intelligent Robots and Systems '91, volume 3, pages 1313-1318, Osaka, 3.-5. November 1991. IEEE Cat. No. 91TH0375-6.

9
Jarmo T. Alander. Johdanto geneettisiin algoritmeihin / An introduction to genetic algorithms. In Eero Hyvönen, Jouko Seppänen, and Markku Syrjänen, editors, STeP-92 Tekoälyn uudet suunnat, volume 3, pages 1-10, Espoo, 9.-11. June 1992. Finnish Artificial Intelligence Society (FAIS). (in Finnish)

10
Jarmo T. Alander. Kauppamatkustajanongelma ja geneettiset algoritmit [Travelingsalesmanproblem and genetic algorithms]. Technical Report 1992/2, Helsinki University of Technology, Faculty of Machine Engineering, Laboratory of Automobile Technology, 1992. (in Finnish)

11
Jarmo T. Alander. Mahdollisia sovellutuksia [Potential applications of GA]. In Alander [84], chapter 18, pages 208-210. (in Finnish)

12
Jarmo T. Alander. On Boolean SAT and GA. In Alander [84], chapter 17, pages 190-207.

13
Jarmo T. Alander. On optimal populationsize of genetic algorithms. In Patrick Dewilde and Joos Vandewalle, editors, CompEuro 1992 Proceedings, Computer Systems and SoftwareEngineering, 6th Annual European Computer Conference, pages 65-70, The Hague, 4.-8. May 1992. IEEE Computer Society, IEEE Computer Society Press.

5, 11, 12

14
Jarmo T. Alander. Optimal GA. In Alander [84], chapter 15, pages 164-179. GA:IROS'91

15
Jarmo T. Alander. Population size. In Alander [84], chapter 16, pages 180-189. GA:CompEuro92

16
Jarmo T. Alander. Rinnakkainen ga [Parallel GA]. In Alander [84], chapter 10, pages 118-125. (in Finnish)

17
Jarmo T. Alander. GA bibliography. In Proceedings of the First Finnish Workshop on Genetic Algorithms and their Applications [23].

18
Jarmo T. Alander. Genetic algorithms and robot control. In Proceedings of the First Finnish Workshop on Genetic Algorithms and their Applications [23]. (also [19])

19
Jarmo T. Alander. Genetic algorithms and robot control, a review. In Robotikdagar 93, pages C4-, Linköping, Sweden, 2.-3. June 1993. Tekniska Högskolan i Linköping.

20
Jarmo T. Alander. Laskennallinen evoluutio, geneettiset algoritmit ja keinoelämä [Computational evolution, genetic algorithms, and artificiallife]. In Seppo Linnaluoto and Jouko Seppänen, editors, SETI - Search for Extraterrestrial Intelligence, An International Interdisciplinary Seminar, pages 164-171, Heureka, Vantaa, Finland, 6.-7. March 1993. Finnish Artificial Intelligence Society. (in Finnish)

21
Jarmo T. Alander. On robot navigation using a GA. In Proceedings of the First Finnish Workshop on Genetic Algorithms and their Applications [23]. (also [22])

22
Jarmo T. Alander. On robot navigation using a genetic algorithm. In Albrecht et al. [85], pages 471-478. GA:autogaR93

23
Jarmo T. Alander, editor. Proceedings of the First Finnish Workshop on Genetic Algorithms and their Applications, volume TKO-A30 of Research Reports, Espoo (Finland), 4.-5. November 1992 1993. (partly in Finnish)

24
Jarmo T. Alander. Bibliography of genetic algorithms. In Proceedings of the Second Finnish Workshop on Genetic Algorithms and their Applications [27], pages 1-22. (ftp.uwasa.fics/report94-2Alander1.ps.Z)

25
Jarmo T. Alander. Editorial of the 2nd finnish workshop on genetic algorithms and their applications. In Proceedings of the Second Finnish Workshop on Genetic Algorithms and their Applications [27], pages iii-iv. (ftp.uwasa.fics/report94-2main.ps.Z)

26
Jarmo T. Alander. An indexed bibliography of genetic algorithms: Years 1957-1993. Art of CAD Ltd., Vaasa (Finland), 1994. (over 3000 GA references) 199, 206, 293, 293

27
Jarmo T. Alander, editor. Proceedings of the Second Finnish Workshop on Genetic Algorithms and their Applications, volume Report Series 94-2, Vaasa (Finland), 16.-18. March 1994. University of Vaasa, Department of Information Technology and Industrial Economics. (ftp.uwasa.fics/report94-1*.ps.Z).

28
Jarmo T. Alander. Genetic algorithms in industrial applications - a bibliography. In Proceedings of the First Nordic Workshop on Genetic Algorithms and their Applications (1NWGA) [74], pages 301-328. (ftp.uwasa.fics/1NWGABibliography.ps.Z)

29
Jarmo T. Alander. Indexed bibliography of distributed genetic algorithms. Report 94-1-PARA, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaPARAbib.ps.Z)

30
Jarmo T. Alander. Indexed bibliography of genetic algorithm implementations. Report 94-1-IMPLE, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaIMPLEbib.ps.Z)

31
Jarmo T. Alander. Indexed bibliography of genetic algorithms and fuzzy systems. Report 94-1-FUZZY, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaFUZZYbib.ps.Z)

32
Jarmo T. Alander. Indexed bibliography of genetic algorithms and neural networks. Report 94-1-NN, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaNNbib.ps.Z) 174

33
Jarmo T. Alander. Indexed bibliography of genetic algorithms and optimization. Report 94-1-OPTIMI, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaOPTIMIbib.ps.Z)

34
Jarmo T. Alander. Indexed bibliography of genetic algorithms and proteins. Report 94-1-PROTEIN, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaPROTEINbib.ps.Z)

35
Jarmo T. Alander. Indexed bibliography of genetic algorithms and simulated annealing: Hybrids and comparisons. Report 94-1-SA, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaSAbib.ps.Z)

36
Jarmo T. Alander. Indexed bibliography of genetic algorithms basics, reviews, and tutorials. Report 94-1-BASICS, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaBASICSbib.ps.Z)

37
Jarmo T. Alander. Indexed bibliography of genetic algorithms EvoNet members. Report 94-1-EVONET, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaEVONETbib.ps.Z)

38
Jarmo T. Alander. Indexed bibliography of genetic algorithms in art and music. Report 94-1-ART, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaARTbib.ps.Z)

39
Jarmo T. Alander. Indexed bibliography of genetic algorithms in Australia and Oceania. Report 94-1-AUS, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaAUSbib.ps.Z)

40
Jarmo T. Alander. Indexed bibliography of genetic algorithms in biosciences. Report 94-1-BIO, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaBIObib.ps.Z)

41
Jarmo T. Alander. Indexed bibliography of genetic algorithms in chemistry and physics. Report 94-1-CHEMPHYS, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaCHEMPHYSbib.ps.Z)

42
Jarmo T. Alander. Indexed bibliography of genetic algorithms in computer aided design. Report 94-1-CAD, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaCADbib.ps.Z)

43
Jarmo T. Alander. Indexed bibliography of genetic algorithms in computer science. Report 94-1-CS, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaCSbib.ps.Z)

44
Jarmo T. Alander. Indexed bibliography of genetic algorithms in control. Report 94-1-CONTROL, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaCONTROLbib.ps.Z) 288

45
Jarmo T. Alander. Indexed bibliography of genetic algorithms in economics. Report 94-1-ECO, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaECObib.ps.Z)

46
Jarmo T. Alander. Indexed bibliography of genetic algorithms in electronics and VLSI design and testing. Report 94-1-VLSI, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaVLSIbib.ps.Z)

47
Jarmo T. Alander. Indexed bibliography of genetic algorithms in engineering. Report 94-1-ENG, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaENGbib.ps.Z) 199

48
Jarmo T. Alander. Indexed bibliography of genetic algorithms in France. Report 94-1-FRA, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaFRAbib.ps.Z)

49
Jarmo T. Alander. Indexed bibliography of genetic algorithms in Germany (and former DDR). Report 94-1-GER, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaGERbib.ps.Z)

50
Jarmo T. Alander. Indexed bibliography of genetic algorithms in Italy. Report 94-1-ITA, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaITAbib.ps.Z)

51
Jarmo T. Alander. Indexed bibliography of genetic algorithms in logistics. Report 94-1-LOGISTICS, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaLOGISTICSbib.ps.Z)

52
Jarmo T. Alander. Indexed bibliography of genetic algorithms in manufacturing. Report 94-1-MANU, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaMANUbib.ps.Z)

53
Jarmo T. Alander. Indexed bibliography of genetic algorithms in mathematics and statistics. Report 94-1-MATH, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaMATHbib.ps.Z)

54
Jarmo T. Alander. Indexed bibliography of genetic algorithms in operations research. Report 94-1-OR, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaORbib.ps.Z)

55
Jarmo T. Alander. Indexed bibliography of genetic algorithms in power engineering. Report 94-1-POWER, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaPOWERbib.ps.Z) 248

56
Jarmo T. Alander. Indexed bibliography of genetic algorithms in robotics. Report 94-1-ROBOT, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaROBOTbib.ps.Z)

57
Jarmo T. Alander. Indexed bibliography of genetic algorithms in robotics. Report 94-1-ROBO, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaROBObib.ps.Z)

58
Jarmo T. Alander. Indexed bibliography of genetic algorithms in signal and image processing. Report 94-1-SIGNAL, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaSIGNALbib.ps.Z)

59
Jarmo T. Alander. Indexed bibliography of genetic algorithms in the Far East. Report 94-1-FAR-EAST, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaFAR-EASTbib.ps.Z)

60
Jarmo T. Alander. Indexed bibliography of genetic algorithms in the Mediterranean. Report 94-1-MEDITER, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaMEDITERbib.ps.Z)

61
Jarmo T. Alander. Indexed bibliography of genetic algorithms in the Nordic countries. Report 94-1-NORDIC, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaNORDICbib.ps.Z)

62
Jarmo T. Alander. Indexed bibliography of genetic algorithms in UnitedKingdom. Report 94-1-UK, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaUKbib.ps.Z)

63
Jarmo T. Alander. Indexed bibliography of genetic algorithms papers available via ftp and www. Report 94-1-FTP, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaFTPbib.ps.Z)

64
Jarmo T. Alander. Indexed bibliography of genetic algorithms papers of 1994. Report 94-1-94, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1ga94bib.ps.Z)

65
Jarmo T. Alander. Indexed bibliography of genetic algorithms papers of 1995. Report 94-1-95, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1ga95bib.ps.Z)

66
Jarmo T. Alander. Indexed bibliography of genetic algorithms papers of 1996. Report 94-1-96, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1ga96bib.ps.Z)

67
Jarmo T. Alander. Indexed bibliography of genetic algorithms theory and comparisons. Report 94-1-THEORY, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaTHEORYbib.ps.Z)

68
Jarmo T. Alander. Indexed bibliography of genetic programming. Report 94-1-GP, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaGPbib.ps.Z)

69
Jarmo T. Alander. Indexed bibliography of missing entries. Report 94-1-MISSING, University of Vaasa, Department of Information Technology and Production Economics, 1995.

(ftp.uwasa.fics/report94-1gaMISSINGbib.ps.Z)

70
Jarmo T. Alander. Indexed bibliography of most active researchers of genetic algorithms. Report 94-1-TOP10, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fics/report94-1gaTOP10bib.ps.Z)

71
Jarmo T. Alander. On interval factorial genetic algorithm in global optimization. Reliable Computing, :26-29, 1995. (A supplement to the journal; Proceedings of the APIC'95 Elpaso, TX, Feb. 1995)

72
Jarmo T. Alander. On interval factorial genetic algorithm in global optimization. In Pearson et al. [463], pages 388-391.

73
Jarmo T. Alander. Practical handbook of genetic algorithms: New frontiers, volume 2. In Lance Chambers, editor, Practical Handbook of Genetic Algorithms: New Frontiers, Volume 2, volume II of New Frontiers, chapter Appendix 1. An indexed bibliography of genetic algorithms (Books, proceedings, journal articles, and PhD thesis, pages 333-427. CRC Press, Inc., Boca Raton, FL, 1995.

46, 51, 293

74
Jarmo T. Alander, editor. Proceedings of the First Nordic Workshop on Genetic Algorithms and their Applications (1NWGA), Proceedings of the University of Vaasa, Nro. 2, Vaasa (Finland), 9.-12. January 1995. University of Vaasa. (ftp.uwasa.fics/1NWGA*.ps.Z).

75
Jarmo T. Alander. Tekoelo - tarua vai teollisuutta [Artificial life - stories or industry]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 207-213, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

76
Jarmo T. Alander, Antti Autere, Janne Mäntykoski, and Kari I. Keskinen. Distributed genetic algorithm for fitting of model parameters of chemical reaction kinetics. In Alander [27], pages 115-126. (ftp.uwasa.fics/report94-2Alander3.ps.Z)

77
Jarmo T. Alander and Juha Herajärvi. Geneettinen algoritmi vauhdittaa hissiryhmän toimintaa [Genetic algorithm in elevator control]. Tekniikan näköalat, (2):44-45, 23. May 1995. (in Finnish)

78
Jarmo T. Alander and Jouni Lampinen. Shape optimization of dieselengine camshaft by genetic algorithm. In Osmera [450], pages 5-10.

199, 199, 201, 201, 203, 203, 239

79
Jarmo T. Alander and Jouni Lampinen. Design of cam shape used in valvetrain of internal-combustion engine using a genetic algorithm. In Proceedings of the 2nd International Conference on Genetic Algorithms (MENDEL'96), Brno (Czech Republic), 26.-28. June 1996. 199, 199, 201, 203, 203

80
Jarmo T. Alander and William F. Nice. Genetic algorithms for multiuser detection. In Alander [74], pages 23-34. (ftp.uwasa.fics/1NWGAAlander1.ps.Z)

81
Jarmo T. Alander, Mikael Nordman, and Henri Setälä. Register-level hardwaredesign and simulation of a genetic algorithm using VHDL. In Osmera [450], pages 10-14.

73

82
Jarmo T. Alander, Tapio Tyni, and Jari Ylinen. Optimizing elevator group control parameters using distributed genetic algorithm. In Alander [27], pages 105-113. (ftp.uwasa.fics/report94-2Alander2.ps.Z) 212

83
Jarmo T. Alander, Jari Ylinen, and Tapio Tyni. Optimizing elevator group control parameters using distributed genetic algorithms. In Pearson et al. [463], pages 400-403.

212, 212

84
Jarmo T. Alander, (edit.). Geneettiset algoritmit - Genetic algorithms. Technical Report TKO-C53, Helsinki University of Technology, Department of Computer Science, 1992. (mostly in Finnish)

85
R. F. Albrecht, C. R. Reeves, and N. C. Steele, editors. Artificial NeuralNets and Genetic Algorithms, Innsbruck, Austria, 13. -16. April 1993. Springer-Verlag, Wien.

86
Franklin Allen and Risto Karjalainen. Using genetic algorithms to find technical trading rules. Technical Report 20-93, University of Pensylvania, The Wharton School, Rodney L. White Center for Financial Research, 1993.

87
Anon. C Darwin II - Genägen till Kunskap, 1991. (Novacast)

88
Anon. Lajien synty pörssissä [The origin of species in stock exchange (refers to [335])]. Helsingin Sanomat, 34507(333):D1, 10. December 1994. (in Finnish)

89
Anon. Optimization of the unit commitment problem by a coupled gradient network and by a genetic algorithm. Technical Report TR-103697, EPRI, 1994. ([448]) 248

90
Anon. Uusi ohjelmointitapa antaa hisseille vauhtia [New programming method gives speed to elevators]. Tekniikka & Talous, (33):14, 29. September 1994. (in Finnish)

91
Anon. Vaasan yliopistoon yksi Evo-Net-verkon pääsolu - evoluutioteorioista apua insinöörien ongelmien ratkaisuun [university of vaasa as one of the EvoNet main nodes - the theory of evolution aids engineers to solve their problems]. Pohjalainen, (248):4, 14. September 1995.

92
Anon. Nunnauuni käyttää geneettistä algoritmia [Stone cutting optimization by genetic algorithm]. Tekniikka & Talous, (13):5, 28. March 1996. (in Finnish)

93
Ami Arbel. Exploring interior-point linear programming. The MIT Press, London, 1993. 248

94
Archetti, F., Schoen, F. A survey on the global optimization problem: general theory and computational approaches. Annals of Operations Research, 1:87-110, 1984. 116

95
Peter Rolann Arentoft and Kaj Aage Jensen. Simuleret skovbrandsbekæmpelse - et eksempel på genetisk baseret maskinindlæring [Simulated forest fire fights - an example of genetic based mashine learning]. Report DAIMI IR-120, Aarhus University, Computer Science Department, 1994. (in Danish)

96
Arlandini, E., Ballabio, M., Castiglione, R. de, Gioia, B., Luisa, M., Perseo, G., Rizzo, V. Spectroscopic investigations on dermorphin and its [l-Ala tex2html_wrap_inline45657 ] analog. Int. J. Peptide Protein Res., 25:33-46, 1985. 118

97
Antti Autere. An empirical study of three algorithms for optimizing a combinatorial problem. In Eero Hyvönen, Jouko Seppänen, and Markku Syrjänen, editors, STeP-92 Tekoälyn uudet suunnat, volume 3, pages 11-20, Espoo, 9.-11. June 1992. Finnish Artificial Intelligence Society (FAIS).

98
Antti Autere. Optimointi [Optimization and GA]. In Alander [84], chapter 9, pages 105-117. (in Finnish)

99
Antti Autere. An empirical study of population and non-population based search strategies for optimizing a combinatorial problem. In Albrecht et al. [85], pages 375-384.

100
Antti Autere. GA and 3D binpacking. In Alander [23].

101
Antti Autere. Combining gradient search and genetic algorithm for optimizing differentiable functions. In Alander [27], pages 127-137. (ftp.uwasa.fics/report94-2Autere.ps.Z)

102
Antti Autere. Employing gradient information in a genetic algorithm. In Proceedings of the Second European Congress on Intelligent Techniques and SoftComputing (EUFIT'94), volume 3, pages 1683-1689, Aachen (Germany), 20.-23. September 1994. ELITE-Foundation.

103
Antti Autere. Comparison of genetic and other unconstrained optimization methods. In Pearson et al. [463], pages 348-351.

104
Jakob Axelsson. Turbine preliminary design using genetic algorithms. Technical Report LiTH-IDA-Ex-9302, Linköping University, Sweden, 1993.

105
Jakob Axelsson, Stefan Menth, and Klaus Semmler. Genetic algorithms in industrial design. In Proceedings, Fifth International Conference on Tools with ArtificialIntelligence TAI'93, pages 64-67, Boston, MA, 8.-11. November 1993. IEEE Computer Society Press, Los Alamitos, CA.

106
Fahiem Bacchus. Representing and Reasoning with Probabilistic Knowledge. MIT Press, Cambridge, 1990. 268, 268, 269, 270, 271

107
Barbro Back, Kaisa Sere, and Michiel C. van Wezel. Choosing the best set of bankruptcy predictors. In Alander [74], pages 285-301. (ftp.uwasa.fics/1NWGABack.ps.Z)

108
Thomas Bäck. Self-adaptation in genetic algorithms. In Varela and Bourgine [572], pages 263-271.

16

109
Thomas Bäck and Hans-Paul Schwefel. An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 1(1):1-23, 1993.

(alife.santafe.edu/pub/USER-AREA/EC/ES/paperssys93.ps.gz) 130

110
K. Balakrishnan and V. Honavar. Evolutionary design of neural architectures - preliminary taxonomy and guide to literature. Technical Report CS TR #95-01, Iowa State University, Artificial Intelligence Group, 1995. (Branke) 167

111
Joyce M. Baldwin. The probable arrangement of the helices in g-protein coupled receptors. The EMBO Journal, 12(4):1693-1703, 1993. 145

112
Barkan. Calculation of high-speed valve motion with a flexible overhead linkage. Trans. SAE 61 (Society of Automotive Engineers), 1953. 198

113
David Beasley, David R. Bull, and Ralph R. Martin. An overview of genetic algorithms. 2. research topics. University Computing, 15(4):170-181, 1993. (ralph.cm.cf.ac.uk/pub/GAsgaoverview2.ps or alife.santafe.edu/pub/USER-AREA/EC/GA/papersover93-2.ps.gz) 94

114
David Beasley, David R. Bull, and Ralph R. Martin. Reducing epistasis in combinatorial problems by expansive coding. In Forrest [192], pages 400-407.

94

115
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.

116
J.F.A.K. van Benthem. The Logic of Time. D. Reidel Publishing Company, Dordrecht, 1983. 268

117
S. A. Billings and G. L. Zheng. Radial basis function network configuration using genetic algorithm. Neural Networks, 8(6):877-890, 1995. 153

118
Tobias Blickle and Lothar Thiele. A comparison of selection schemes used in genetic algorithms. TIK-Report 11, Swiss Federal Institute of Technology (ETH), 1995.

(http://www.tik.ee.ethz.ch/blickle,ftp.tik.ee.ethz.chpub/people/blickle/tikreportv2.ps.gz) 272, 273

119
Tobias Blickle and Lothar Thiele. A mathematicalanalysis of tournamentselection. In Smith [529],

(ftp.tik.ee.ethz.chpub/people/blickleicga95.ps.gz) 168

120
Marcel J. J. Blommers, Carlos B. Lucasius, Gerrit Kateman, and Robert Kaptein. Conformational analysis of a dinucleotide photodimer with the aid of the genetic algorithm. Biopolymers, 32(1):45-52, January 1992. (News/Xiao EI A016405/92) 116

121
Leonard Bolc and Andrzej Szalas. Time and Logic: A Computation Approach. University College Press, London, 1995.

122
Catherine Bounsaythip, Salah Maouche, and M. Neus. Evolutionary search techniques application in automated lay-planning optimization problem. In Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, volume 5, pages 4497-4502, Vancouver, BC (Canada), 22.-25. October 1995. IEEE, Piscataway, NJ. (EI M040468/96) 91

123
Box, G.E, Hunter, W.S., Hunter, J.S. Statistics for Experimenters. Wiley, New York, 1978. 122, 122

124
Jürgen Branke, Udo Kohlmorgen, Hartmut Schmeck, and H. Veith. Steuerung einer Heuristik zur Losgrössenplanung unter Kapa zitätsrestriktionen mit Hilfe eine parallelen genetischen Algorithmus. In J. Kuhl and Volker Nissen, editors, Tagungsband zum Workshop Evolutionäre Algorithmen in Management Anwendungen, pages 21-31, Göttingen (Germany), 1995. University of Göttingen, Institut für Wirtschaftsinformatik. (Branke) 107

125
Dave Bursky. Efficient ram-based fpgas ease system design. Electronic Design, (13):5, 22. January 1996. 72

126
Bush, T.S., Catlow, C.R.A., Battle, P.D. Evolutionary programming techniques for predicting inorganic crystal structures. Journal of Materials Chemistry, 5(8):1269-1272, 1995. 130

127
Cantor, C.R., Schimmel, P.R. Part I: the conformation of biological macromolecules. Biophysical Chemistry. W.H. Freeman and Company, New York, 1980. 116

128
Hugh M. Cartwright and Gregory F. Mott. Looking around: Using clues from the data space to guide genetic algorithm search. In Belew and Booker [115], pages 108-114.

129

129
E. Casalgrandi and G. Storti-Gajani. A neural real time system for Larsen effect elimination. In A. B. Bulsari and S. Kallio, editors, Proceedings of the International Conference EANN '95, pages 405-408, Otaniemi, Finland, August 21-23 1995. Finnish Artificial Intelligence Society. 173

130
J.L. Casti. Complexification: Explaining a Paradoxical World through the Science of Surprise. HarperCollins, New York, NY, 1994. 46

131
John L. Casti. Paradigms Lost. Avon Books, New York, 1989. 271

132
David J. Chalmers. The evolution of learning: An experiment in genetic connectionism. In D. S. Touretsky, J. L. Elman, T. J. Sejnowski, and G. E. Hinton, editors, Proceedings of the Connectionist Summer School, San Diego, CA, 1990. Morgan Kaufmann, San Mateo, CA. 174

133
S. Chen, C. Cowan, and P. Grant. Orthogonal least squares learning algorithm for radial basis function network. IEEE Trans. on Neural Networks, 2(2):302-309, 1991. 153

134
A. Chincarini. Ottimizzazione di cavitá RF per acceleratori di particelle. Master's thesis, University of Genova, Instituto Nazionale di Fisica Nucleare, 1994. ([135]) 199

135
A. Chincarini, P. Fabbricatore, G. Gemme, R. Musenich, R. Parodi, and B. Zhang. Headway in cavity design through genetic algorithms. IEEE Transactions on Magnetics, 31(3):1566-1569, May 1995. (Proceedings og the Sixth Biennial IEEE Conference on Electromagnetics Field Computation (CEFC'94), Grenoble (France), 5.-7. July 1994) 199

136
James P. Cohoon and William D. Paris. Genetic placement. IEEE Transactions on Computer-Aided Design, 6(6):956-964, November 1987.

90

137
Ph. Collard, J-Ph. Aurand, and J. Biondi. De l'interêt des sosies dans un système autonome. Actes des journees de Rochebrune, Jan. 17-21 1994. Talk organised by Telecom Paris, France Telecom CNET. 100

138
Corana, A., Marchesi, M., Martini, C., Ridella, S. Minimizing multimodel functions of continuous variables with the simulated annealing algorithm. ACM Transactions on Mathematical Software, 13(3):262-280, 1987. 119

139
D. Corne and P. Ross. Some combinatorial landscapes on which genetic algorithm outperforms other stochastic iterative methods. Report from Dept. of Artificial Intelligence, Univ. of Edinburgh, 1995. in Evolutionary Computing; AISB Workshop, Sheffield 1995, Selected paper, ed. T. Fogarty, Springer-Verlag Lecture Notes in Computer Science 993. 93

140
Joseph C. Culberson. Mutation-crossover isomorphisms and the construction of discriminating functions. Evolutionary Computation, 2(3):, 1995. ([]) 28, 28, 31, 34

141
Y.L. Le Cun, J.S. Denker, and S.A. Solla. Optimal Brain Damage. In D. Touretzky, editor, Advances in Neural Information Processing Systems, Vol. 2, volume 2, pages 599-605. Morgan Kaufmann, 1990. 164

142
Dandekar, T., Argos, P. Ab initio tertiary-fold prediction of helical and non-helical protein chains using a genetic algorithm. International journal of biological macromolecules: structure, function and interactions, 18(1-2):1-4, 1996. 116

143
K.M. Daniels. Containment Algorithms for nonConvex Polygons with Applications to Layout. PhD dissertation, Harvard University, Division of Applied Science, May 1995. 90

144
Dipankar Dasgupta and Douglas R. McGregor. Thermal unitcommitment using genetic algorithms. IEE Proceedings, Generation, Transmission and Distrib. (UK), 141(5):459-465, September 1994.

248

145
Yuval Davidor. Genetic Algorithms and Robotics: A heuristic strategy for optimization. World Scientific Publishing, Singapore, 1990.

95

146
Yuval Davidor and Oren Ben-Kiki. The interplay among the genetic algorithm operators: information-theory tools used in a holistic way. In Männer and Manderick [398], pages 75-84.

129

147
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.

148
Lawrence Davis. Adapting operator probabilities in genetic algorithms. In Schaffer [517], pages 61-69.

16

149
Lawrence Davis, editor. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991.

16, 18, 21, 46, 51, 93, 116

150
Patrik D'haeseleer. Context preserving crossover in geneticprogramming. In Proceedings of the First IEEE Conference on Evolutionary Computation [297], pages 256-261.

93

151
J. N. Didriksen. Genetic algorithms and production scheduling. In A. Åmodt and J. Komorowski, editors, SCAI'95 Proceedings of the Fifth Scandinavian Conference on ArtificialIntelligence, volume 28 of Frontiers in Artificial Intelligence and Applications, pages 386-390, Trondheim (Norway), 29.-31. May 1995. IOS Press, Amsterdam. (P66993/95)

152
Denis Doorly. Parallel genetic algorithms for optimization in CFD. In Winter et al. [594], pages 251-270.

199

153
J. M. Douglas. Conceptual Design of Chemical Processes. McGraw-Hill, New York, 1988. 220

154
F. J. Doyle, B. A. Ogunnaike, and R. K. Pearson. Nonlinear model-based control using second-order volterra models. Automatica, 31(2):697-714, 1995. 152

155
Rolf Drechsler, Henrik Esbensen, and Bernd Becker. Genetic algorithms in computeraideddesign of integratedcircuits. Technical report , Universität Frankfurt, Fachbereich Informatik, 1994. ([])

156
G. Dueck and T. Scheuer. Threshold accepting; a general purpose optimization algorithm. Journal of Computational Physics, 90, 1990. 37

157
Georges Duponcheele and Derek G. Tilley. Cross-sectional and geometrical shape optimisation by means of genetic algorithm. In Alander [74], pages 43-68.

(ftp.uwasa.fics/1NWGADuponcheele.ps.Z) 198, 199

158
Ian R. East and Jon Rowe. Eggects of isolation in a distributed population genetic algorithm. In [4], (to appear in)([]) 66

159
Magnus Edengren. Genetic algorithms and the discrete urban network design problem. In Alander [74], page 329. (ftp.uwasa.fics/1NWGAEdengren.ps.Z)

160
S. Eilon, C. D. T. Watson-Gandy, and N. Christofides. Distribution management: mathematical modeling and practical analysis. Operational Research Quarterly, 20:136-140, 1969. 8

161
D. Elliott, editor. California Institute of Technology, Pasadena (CA), 24.-26. March 1970.

162
Sara Elo. A parallel genetic algorithm on the CM-2 for multi-modal optimization. In Proceedings of the First IEEE Conference on Evolutionary Computation [298], pages 818-822.

163
Timo Eloranta. Geneettisten algoritmien soveltaminen suuntaamattomien verkkojen piirtoon [Applying genetic algorithms to drawing undirected graphs]. Master's thesis, University of Tampere, Department of Computer Science, 1996. (in Finnish, ga96aEloranta)

164
Timo Eloranta. Geneettisten algoritmien soveltaminen suuntaamattomien verkkojen piirtoon [Applying genetic algorithms to drawing undirected graphs]. Report Series B B-1996-1, University of Tampere, Department of Computer Science, 1996. (in Finnish, ga96bEloranta)

165
Claus Emmeche. Det Levende Spil Biologisk Form og KunstigtLiv. Nysyn, Munksgaard (Denmark), 1991. (in Danish)(Aarhus)

166
Claus Emmeche. The Garden in the Machine. The Emerging Science of ArtificialLife. Princeton University Press, 1994. ([165] in English)

167
Claus Emmeche. Tekoelämä. Art House, Helsinki (Finland), 1995. ([165] in Finnish)

168
Christer Ericson. An introduction to genetic algorithms. Master's thesis, University of Umeå, Institute of Information Processing, 1993.

169
Christer Ericson. Ga review [abstract of a MS thesis]. In Alander [27], pages 187-188. (ftp.uwasa.fics/report94-2Ericson.ps.Z)

170
Henrik Esbensen. A genetic algorithm for macro cell placement. In EURO-DAC '92 European Design Automation Conference EURO-VHDL '92, pages 52-57, Hamburg, 7. -10. September 1992. IEEE Computer Society Press, Los Alamitos, California.

171
Henrik Esbensen. Computing near-optimal solutions to the Steiner problem in a graph using a genetic algorithm. Report DAIMI PB-468, Aarhus University, Computer Science Department, 1994.

172
Henrik Esbensen. A macro-cell global router based on two genetic algorithms. In Proceedings EURO-DAC '94 with EURO-VHDL '94, pages 428-433, Grenoble (France), 19.-23. September 1994. IEEE, New York.

173
Henrik Esbensen. Finding (near-)optimal Steinertrees in large graphs. In Smith [529], (prog)

174
Henrik Esbensen and Pinaki Mazumder. Genetic algorithm for Steiner problem in a graph. In Proceedings of the European Design and Test Conference, pages 402-406, Paris, February 28.-March 3. 1994. IEEE Computer Society Press, Los Alamitos, CA. (EI M141889/94)

175
Henrik Esbensen and Pinaki Mazumder. SAGA: a unification of the genetic algorithm with simulatedannealing and its application to macro-cell placement. In Proceedings of the Seventh International Conference on VLSI Design, pages 211-214, Calcutta (India), 5.-8. January 1994. IEEE Computer Society Press, Los Alamitos, CA. (EEA 41583/94)

176
ESIM Testing environment for Embedded Software. User's Guide. Version 2.1 for Windows NT, 1995. 207

177
C. J. Harris et. al. Intelligent Control: Aspects of Fuzzy Logic and Neural Nets. World Scientific, 1992. 241

178
F. Xinhua et. al. Fuzzy optimum method in motor design. In ICEM Proceeding, pages 29-36, Paris, France, 1994. 241

179
A. Murgu . A neural networks approach of routing/flow control for communication networks. In Proceedings of the IEEE International Conference on Neural Networks (ICNN94), pages 2667-2672, Orlando, FL, 1994. 252, 258

180
S.E. Fahlman and C. Lebiere. The Cascade-Correlation Learning Architecture. In D. Touretzky, editor, Advances in Neural Information Processing Systems, Vol. 2, volume 2, pages 524-532. Morgan Kaufmann, 1990. 164

181
E. Falkenauer. A new representation and operators for genetic algorithms applied to grouping problems. Evolutionary Computation, 2(2):123-144, 1994. MIT Press. 98

182
Chris Farrell. Survival of the fittest technologies. New Scientist, 137(1859):35-39, 1993.

183
J. W. Finch and M. R. Besmi. Genetic algorithms applied to a power system stabiliser. In [2], pages 100-105.

288

184
K. A. Fisher. The application of genetic algorithms to optimising the design of an engine block for low noise. In [2], pages 18-22.

199

185
Patrik B. J. Floréen and Joost N. Kok. Tracing the moments of distributions in genetic algorithms. In Alander [27], pages 51-60. (ftp.uwasa.fics/report94-2Floreen.ps.Z)

186
David B. Fogel. An analysis of evolutionaryprogramming. In Fogel and Atmar [188], pages 43-51. (Fogel/bib) 130

187
David B. Fogel. An introduction to simulated evolutionary optimization. IEEE Transactions on Neural Networks, 5(1):3-14, January 1994. (toc) 268, 271

188
David B. Fogel and J. Wirt Atmar, editors. Proceedings of the 1st Annual Conference on Evolutionary Programming, LaJolla, CA, 21.-22. February 1992. Evolutionary Programming Society, San Diego.

189
Fogel, D.B., Fogel, L.J. An Introduction to Evolutionary Programming. Lecture notes in computer science, 1063:21-36, 1996. 130

190
C. M. Fonseca and P. J. Fleming. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3(1):1-16, 1996. ([]) 62, 63

191
Carlos M. Fonseca and Peter J. Fleming. Multiobjective genetic algorithms made easy: Selection, sharing and mating restriction. In [2], pages 45-52. (ssq) 64

192
Stephanie Forrest, editor. Proceedings of the Fifth International Conference on Genetic Algorithms, Urbana-Champaign,IL, 17.-21. July 1993. Morgan Kaufmann, San Mateo, CA.

193
Stephanie Forrest and Melanie Mitchell. Relative building-block fitness and the building-block hypothesis. In Whitley [589], pages 109-126.

(ftp.santafe.edu/pub/Users/mmForrest-Mitchell-FOGA.ps.Z) 116, 129

194
D.E. Foulser, Q. Yang, and M. Li. Theory and algorithms for plan merging. Artificial Intelligence, 57:143-181, 1992. 106, 106

195
R.J. Fowler, M.S. Paterson, and S.L. Tanimoto. Optimal packing and covering in the plane are np-complete. Information Processing Letters (IPL), 12(3):133-137, 1981. 90

196
C. B. Fraser and R. Irving. Approximation algorithms for the shortest common supersequence. Nordic Journal on Computing, 2:303-325, 1995. 106

197
C.B. Fraser. Subsequences and supersequences. PhD thesis, University of Glasgow, Departement of Computer Science, 1995. 106, 106, 107, 109, 111

198
Kikuo Fujita, Shinsuke Akagji, and Noriyasu Kirokawa. Hybrid approach for optimal nesting using a genetic algorithm and a local minimization algorithm. In Proceedings of the 19th Annual ASME Design Automation Conference, volume 1, pages 477-484, Albuquerque, NM, 19.-22. September 1993. ASME, New York. (EI Jan 94) 91

199
Brad Fullmer and Risto Miikkulainen. Using marker-based genetic encoding of neuralnetworks to evolve finite-state behaviour. In Varela and Bourgine [572], pages 255-262.

(cs.utexas.edu/pub/neural-nets/papersfullmer.genetic-encoding.ps.Z)

200
N. Funabiki, Y. Takefuji, and K.C. Lee. Comparisons of seven neural network models on traffic control problems in multistage interconnection networks. IEEE Transactions on Computers, 42(4):497-501, 1993. 257

201
Elvis Galic and Markus Höhfeld. Improving the generalization performance of multi-layer perceptrons with population-based incremental learning. In Proc. of the fourth conf. on Parallel Problem Solving from Nature, Berlin, September 1996. (to appear in). 85

202
Al Geist, Adam Beguelin, Jack Dongarra, Weicheng Jiang, Robert Manchek, and Vaidy Sunderam. PVM 3 User's Guide and Reference Manual. Oak Ridge National Laboratory, 1994. 166

203
S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6:721-741, 1984. 50

204
H. Genceli and M. Nikolau. Design of robust constrained model-predictive controllers with volterra series. AIChE Journal, pages 2098-2107, February 1995. 152

205
A. Giordana and F. Neri. Search-intensive concept induction. Evolutionary Computation Journal, (3/4), 1996. 137

206
A. Giordana and L. Saitta. REGAL: an integrated system for learning relations using genetic algorithms. In , editor, Proceedings of the Second International Workshop on Multistrategy Learning (MSL-93), pages 234-249, Harpers Ferry, WV, 26.-29. May 1993. George Mason University, Fairfax, VA. (CCA 17022/95) 133

207
P. E. Glikin. Fuel injection in diesel engines. Proceedings of the Institution of Mechanical Engineers, Part D (Journal of Transport Engineering), 199(D3):161-174, 1985. 196

208
David E. Goldberg. Genetic algorithms and Walsh functions: Part I, a gentle introduction. TCGA Report 88006, University of Alabama, 1988. ga:Goldberg89a

209
David E. Goldberg. Genetic algorithms and Walsh functions: Part II, deception and its analysis. TCGA Report 89001, University of Alabama, 1988. ga:Goldberg89b 28

210
David E. Goldberg. Genetic algorithms and Walsh functions: Part I, a gentle introduction. Complex Systems, 3:129-152, 1989. ga:Goldberg88c 28

211
David E. Goldberg. Genetic algorithms and Walsh functions: Part II, deception and its analysis. Complex Systems, 3:153-171, 1989. ga:Goldberg89ba

212
David E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA, 1989.

64, 93, 94, 116, 116, 117, 133, 168, 225, 257

213
David E. Goldberg. Genetic algorithms in search, optimization, and machine learning. Addison-Wesley Publishing Company, Inc., 1989. 154

214
David E. Goldberg. Sizing populations for serial and parallel genetic algorithms. In Schaffer [517], pages 70-79.

4

215
David E. Goldberg and Kalyanmoy Deb. A comparative analysis of selection schemes used in genetic algorithms. In Rawlins [480], pages 69-93. (Also TCGA Report No. 90007) 272, 274, 274, 274

216
David E. Goldberg, Kalyanmoy Deb, and James H. Clark. Accounting for noise in the sizing of populations. In Whitley [589], pages 127-140.

4

217
David E. Goldberg and Jon T. Richardson. Genetic algorithms with sharing for multimodal function optimization. In Grefenstette [224], pages 41-49.

64

218
J. Göös. Developement of a offer calculation system for synchronous machines by modern ai methods. Master's thesis, Helsinki University of Technology, 1996. 238

219
Martina Gorges-Schleuter. ASPARAGOS an asynchronous parallel genetic optimization strategy. In Schaffer [517], pages 422-427.

62

220
R. P. Gorman and T. J. Sejnowski. Analysis of hidden units in layered network trained to classify sonar targets. Neural Networks, 1:75-89, 1988. 173

221
D. P. Greene and S. F. Smith. Competition-based induction of decision models from examples. Machine Learning, 13:229-257, 1993. 133

222
John J. Grefenstette, editor. Proceedings of the First International Conference on Genetic Algorithms and Their Applications, Pittsburgh, PA, 24. - 26. July 1985. Lawrence Erlbaum Associates: Hillsdale, New Jersey.

223
John J. Grefenstette. Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, SMC-16(1):122-128, January/February 1986.

99, 100

224
John J. Grefenstette, editor. Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic Algorithms and Their Applications, MIT, Cambridge, MA, 28. - 31. July 1987. Lawrence Erlbaum Associates: Hillsdale, New Jersey.

225
John J. Grefenstette. Deception considered harmful. In Whitley [589], pages 75-92.

117

226
John J. Grefenstette. Genetic algorithms. IEEE Expert, 8(5):5-8, 1993.

239

227
John J. Grefenstette, Rajeev Gopal, Brian J. Rosmaita, and Dirk Van Gucht. Genetic algorithms for the travelingsalesmanproblem. In Grefenstette [222], pages 160-168.

7

228
John J. Grefenstette, Connie Loggia Ramsey, and Alan C. Schultz. Learning sequential decision rules using simulation models and competition. Machine Learning, 5(4):355-381, 1990.

133

229
I. E. Grossmann. MINLP optimization strategies and algorithms for process synthesis. Cache-Elsevier, Amsterdam, 1990. 220

230
M. M. Gupta and D. H. Rao, editors. Neuro-Control Systems. Theory and Applications. IEEE Press, 1994. 258

231
K. Haase and U. Kohlmorgen. Parallel genetic algorithm for the capacitated lot-sizing problem. In Kleinschmidt et al., editor, Operations Research Proceedings, pages 370-375. Springer-Verlag, 1996. 107

232
Juha Haataja. Geneettisten algoritmien simulointi Matlab 4.0:lla [On simulation of genetic algorithms by Matlab 4.0]. SuperMenu, (2):21-25, 1993. (in Finnish)

233
Juha Haataja. Menetelmiä ja ohjelmistoja globaaliin optimointiin [Methods and programs for global optimization]. SuperMenu, (4):9-12, 1993. (in Finnish)

234
Juha Haataja. Optimointitehtävien ratkaiseminen [On solving optimization problems], chapter 9, Erikoismenetelmiä [Special methods]. CSC-Tieteellinen laskenta Oy, Espoo, 1993. (in Finnish)

235
Juha Haataja. Suurten optimointitehtävien ratkaiseminen [Solving large optimization problems]. Tech. lic. thesis, Helsinki University of Technology, Department of Mathematics and Systems Analysis, 1994. (in Finnish; publishes as report CSC Research Reports RO 3/94, Center for Scientific Computing, Espoo (Finland))

236
Juha Haataja. A comparison of software for global optimization. In Alander [74], pages 189-204. (ftp.uwasa.fics/1NWGAHaataja.ps.Z)

237
Juha Haataja. Optimointitehtävien ratkaiseminen [solving optimization problems]. chapter 10. Geneettiset algoritmit [Genetic algorithms]. CSC - Tieteellinen laskenta Oy, Espoo, 1995. (2. edition of [235])

238
Juha Haataja. Workshop on genetic algorithms at the University of Vaasa. CSC News, 7(1):28, March 1995.

239
Juha Haataja and Matti Ryynänen. Synkrotronisäteilylähteen optimointi geneettisellä algoritmilla [Optimization of synchrotron radiation source by a genetic algorithm]. SuperMenu, (4):12-15, 1993. (in Finnish)

240
Hajek, J. A course in nonparametric statistics. Holden-Day, San Fransisco, 1969. 120

241
P. Hajela and J. Lee. Genetic algorithms in multidisciplinary rotorblade design. In , editor, Technical Papers of the 36th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, volume Pt. 4, pages 2187-2197, New Orleans, LA, 10.-13. April 1995. American Institute of Aeronautics and Astronautics, Washington, DC. (EI M129252/95 A95-26769) 199

242
J. Hakkarainen, Anne Jumppanen, J. Kyngäs, and J. Kyyrö. An evolutionary approach to neuralnetwork design applied to sunspot prediction. Report A-1996-3, University of Joensuu, Department of Computer Science, 1996.

243
Aarne Halme and Mika Vainio. Muurahaisten jalanjäljillä - kävelevät koneet, robottiyhteisöt ja niiden ohjaus [On foot steps of ants - walking machines, robot societies and their control]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 170-180, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

244
Ari Hämäläinen. GA and neuralnetworks. In Alander [23].

245
Ari Hämäläinen. Geneettiset algorithmit neuroverkkojen opetuksessa ja rakenteen suunnittelussa. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 201-206, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

246
Ari Hämäläinen. Using genetic algorithm in self-organizing map design. In Pearson et al. [463], pages 364-367.

247
Timo Hämäläinen, Jukka Saarinen, Pekka Ojala, and Kimmo Kaski. Implementing genetic algorithms in a tree shape computer architecture. In Alander [74], pages 259-284.

(ftp.uwasa.fics/1NWGAHamalainen.ps.Z) 73

248
Simon G. Handley. Automated learning of a detector for the cores of tex2html_wrap_inline40384 -helices in proteinsequences via geneticprogramming. In Proceedings of the First IEEE Conference on Evolutionary Computation [297], pages 474-479.

134

249
Kim Kortermand Hansen. Observing, understanding, and controlling the genetic method on a neuralnetwork application. Master's thesis, Aarhus University, Department of Computer Science, 1994. (Aarhus)

250
S.J. Hanson and L.Y. Pratt. Comparing biases for minimal network construction with back-propagation. In D. Touretzky, editor, Advances in Neural Information Processing Systems, Vol. 1, volume 1, pages 177-185. Morgan Kaufmann, 1989. 165

251
Sauli Harala. Geneettinen ohjelmointi [Genetic programming by Koza]. In Alander [84], chapter 12, pages 133-144. (in Finnish)

252
S.A. Harp and T. Samad. Genetic Synthesis of Neural Network Architectures. In L. Davis, editor, Handbook of Genetic Algorithms, pages 202-221. Van Nostrand Reinhold, 1991. 165

253
Steven Alex Harp and Tariq Samad. Genetic synthesis of neuralnetwork architecture. In Davis [149], chapter 15, pages 202-221.

174

254
B. Hassibi, D.G. Stork, and G.J. Wolff. Optimal Brain Surgeon and General Network Pruning. In Proceeding IEEE International Conference on Neural Networks, San Francisco, volume 1, pages 293-299, 1993. 164

255
Simon Haykin. Neural Networks. A Comprehensive Foundation. MacMillan, 1994. 165, 169

256
R. Heckman and Th. Lengauer. A simulated annealing approach to the nesting problem in the textile manufacturing industry. Technical report, Institute for Algorithms and Scientific Computing, German National Research Center for Information Technology (GMD), 1995. 90

257
A.-M. Heikkilä, M. Hurme, and M. Järveläinen. Safety considerations in process synthesis. Computers Chem. Eng., 20:Suppl. S115-S120, 1996. 219

258
J. Hekanaho. Symbiosis in multimodal concept learning. In 12th International Conference on Machine Learning, pages 278-285. Morgan Kaufmann, 1995. 132, 136

259
J. Hekanaho. Background knowledge in ga-based concept learning. In 13th International Conference on Machine Learning. Morgan Kaufmann, 1996. To appear. 132, 147

260
Jukka Hekanaho. Symbiosis in multimodal concept learning. In Armand Prieditis and Stuart Russell, editors, Proceedings of the Twefth International Conference on Machine Learning, pages 278-285, Tahoe City, CA, 9.-12. July 1995.

261
Jukka Hekanaho. Background knowledge in GA-based concept learning. TUCS Technical Reports 2, University of Turku, Turku Centre for Computer Science, 1996. (ga96bHekanaho)

262
Jukka Hekanaho. Background knowledge in GA-based concept learning. In , editor, Proceedings of the 13th International Conference on Machine Learning, , 1996.

263
Jarmo Hemminki. Container loading with variable strategies in each layer. Research Reports A7, University of Turku, Institute of Applied Mathematics, 1994.

264
J. E. Hendry and R. R. Hughes. Generating separation process flowsheets. Chem. Eng. Prog., 68(6), 1972. 220

265
Juha Herajärvi and Jouni Lampinen. Brnossa yhdistyivät geneettiset algoritmit ja ikivanha kulttuuri. Vaasan Yliopistolehti, (5):28, 3. November 1995.

266
J. Hesser and R. Männer. Investigation of the M-heuristic for optimal mutation. In Männer and Manderick [398], pages 115-126. 129

267
G.E. Hinton. Learning Distributed Representations of Concepts. Proceeding of the Eighth Annual Conference of the Cognitive Science Society, 1986. 165

268
Frank Hoffmeister and Thomas Bäck. Genetic algorithms and evolutionstrategies: Similarities and differences. In Schwefel and Männer [519], pages 455-471.

19

269
C. Höhn and Colin R. Reeves. Embedding neighbourhoodsearch operators in a genetic algorithm for graph bipartitioning. Ctac technical report, Coventry University, UK, 1995. (Reeves) 33, 34

270
Christian Höhn. Linear neighbourhood search operators in the binary vector space. Technical report, 1996. (In preparation). 32, 33

271
Christian Höhn and Colin R. Reeves. Are long path problems hard for genetic algorithms In [4], (to appear in)([]) 35

272
John H. Holland. Genetic algorithms and the optimal allocations of trials. SIAM Journal of Computing, 2(2):88-105, 1973. 116

273
John H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, 1975.

93

274
John H. Holland. Escaping brittleness: The possibilities of general purpose learning algorithms applied to parallel rule-based systems. In R. S. Michalski and J. G. Carbonell, editors, Machine Learning II, pages 593-623. Morgan Kaufmann, Los Altos, CA, 1986. 133

275
John H. Holland. Adaptation in Natural and Artificial Systems. MIT Press, Cambridge, 1992.

116

276
Søren Holm. An optimum-convergent algorithm embedding a computational guidance rule for heuristics which solve combinatorial problems. Research Report 94-4, The Aarhus School of Business, 1994.

277
Abdollah Homaifar, Shanguchuan Guan, and Gunar E. Liepins. A new approach on the travelingsalesmanproblem by the genetic algorithms. In Forrest [192], pages 460-466.

5

278
Abdollah Homaifar and Ed McCormick. Simultaneous design of membershipfunctions and rulesets for fuzzy controllers using genetic algorithms. IEEE Transactions on Fuzzy Systems, 3(2):129-139, May 1995.

288

279
Abdollah Homaifar and Vance E. McCormick. Full design of fuzzy controllers using genetic algorithms. In Su-Shing Chen, editor, Neural and Stochastic Methods in Image and SignalProcessing, volume SPIE-1766, pages 393-404, San Diego, CA, 20. -23. July 1992. The International Society for Optical Engineering.

288

280
Jukka Honkanen. Routing of unidirectional packetradio for wide-area paging network control and maintenance. Report 16, Helsinki University of Technology, Laboratory of Signal Processing and Computer Technology, 1994.

281
Timo Honkela and Tuomas Sandholm. In Eero Hyvönen, Ilkka Karanta, and Markku Syrjänen, editors, Tekoälyn ensyklopedia [Ensyclopedy of artificialintelligence], chapter 5.3 Koneoppiminen [Machine learning], pages 244-255. Gaudeamus, Hämeenlinna, 1993. (in Finnish)

282
Horn, J.H., Goldberg, D.E. Genetic algorithm difficulty and the modality of fitness landscapes. In Whitley, D., Vose, M., editor, Foundations of Genetic Algorithms 3, pages 243-296. Morgan Kaufmann, San Fransisco, Ca., 1995. 129

283
K. Hornik, M. Stinchcombe, and H. White. Feedforward networks are universal approximators. Neural Networks, 2:359-366, 1989. 174

284
M. A. Hossain, M. O. Tokhi, A. J. Chipperfield, M. J. Baxter, C. M. Fonseca, and N. V. Dakev. Adaptive active vibration control using genetic algorithms. In [2], pages 175-180.

288

285
Reinhold Huber, Helmut A. Mayer, and Roland Schweiger. netGen - A parallel system generating problem-adapted topologies of artificial neuralnetworks by means of genetic algorithms. In , editor, Beiträge zum 7. Fachgruppentreffen Maschinelles Lernen der GI-Fachgruppe 1.1.3. Forschungsbericht Nr. 580, pages 91-98, Dortmund (Germany), August 1995. ([]) 164, 166, 167, 169

286
Henrik Huovila. GA ja piirisimulointi [GA and circuit simulation]. In Alander [23]. (in Finnish)

287
M. Hurme. Conceptual design of clean processes; tools and methods. In The 5th World Congress of Chemical Engineering Preprints, San Diego, 1996. 219

288
M. Hurme. Methodology for conceptual design of clean processes. In The 5th World Congress of Chemical Engineering Preprints, San Diego, 1996. 220

289
Heikki Huttunen, Pertti Koivisto, Pauli Kuosmanen, and Jaakko Astola. Design of soft morphological filters by genetic learning. In Alander [74], pages 215-228. (ftp.uwasa.fics/1NWGAHuttunen.ps.Z)

290
Heikki Huttunen, P. Kuosmanen, L. Koskinen, and J. Astola. Optimization of soft morphological filters by genetic algorithms. In E. R. Dougherty, P. D. Gader, and M. Schmitt, editors, Image Algebra and Morphological Image Processing V, volume SPIE-2300, pages 13-24, San Diego, CA, 25.-26. July 1994. The International Society for Optical Engineering.

291
Shian-Miin Hwang, Cheng-Yan Kao, and Jorng-Tzong Horng. On solving rectangle binpacking problems using genetic algorithms. In Proceedings of the 1994 IEEE International Conference on Systems, Man, and Cybernetics, volume 2, pages 1583-1590, San Antonio, TX, 2.-5. October 1994. IEEE, New York. (EI M096127/95) 90

292
H. Hyötyniemi. Correlations--building blocks of intelligence In Älyn ulottuvuudet ja oppihistoria (History and dimensions of intelligence), pages 199-226. Finnish Artificial Intelligence Society, 1995. 227

293
H. Hyötyniemi. Turing machines are recurrent neural networks. In Proceedings of the Finnish Artificial Intelligence Conference STeP'96. Finnish Artificial Intelligence Society, 1996. 227, 227, 228, 232

294
Eero Hyvönen. Taipuuko elämä algoritmiksi [life - an algorithm]. Yliopisto - Acta Universitatis Helsingiensis, (16):22-24, 23. October 1995.

295
Eero Hyvönen. Tekoelämä - elämän formalismeja ja formalismien elämää [Artificial life - formalisms of life and life of formalisms]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 1-9, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

296
Hitoshi Iba, Takio Kurita, Hugo de Garis, and Taisuke Sato. System identification using structured genetic algorithms. In Forrest [192], pages 279-286.

80

297
IEEE. Proceedings of the First IEEE Conference on Evolutionary Computation, volume 1, Orlando, FL, 27.-29. June 1994. IEEE.

298
IEEE. Proceedings of the First IEEE Conference on Evolutionary Computation, volume 2, Orlando, FL, 27.-29. June 1994. IEEE.

299
Lester Ingber and Bruce Rosen. Genetic algorithms and very fast simulatedannealing: A comparison. Mathematical and Computer Modelling, 16(11):87-100, November 1992.

59

300
Ryohei Ishida and Yoshihiko Sugiyama. Proposal of constructive algorithm and discrete shape design of the strongest column. AIAA Journal on Disc, 1(1):, 1995. (EI M112472/95 A95-19125) 199

301
H. S. Ismail and K. K. B. Hon. New approaches for the nesting of two-dimensional shapes for press tool design. International Journal of Production Research, 30(4):825-837, April 1992.

91

302
J. Jaakkola. Development of a synchronous machine sales support program. Master's thesis, Helsinki University of Technology, 1995. 238

303
Matti Jakobsson. Preface of the 2nd Finnish Workshop on Genetic Algorithms and Their Applications. In Alander [27], page i. (ftp.uwasa.fics/report94-2main.ps.Z)

304
J. R. Jang. ANFIS: Adaptive-networks based fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics, 23(3), 1993. 191

305
Cezary Z. Janikow. A knowledge-intensive genetic algorithm for supervised learning. Machine Learning, 13(2-3):189-228, November-December 1993. (CCA 855/94) 133

306
J. B. Jensen and M. Nielsen. A simple genetic algorithm applied to discontinuous regularization. In NeuralNetworks for SignalProcessing II, Proceedings of the IEEE-SP Workshop, pages 69-78, Helsingör (Denmark), 31. August - 2. September 1992. IEEE, New York. (CCA 468/94 EEA 541/94)

307
T. Jiang and M. Li. On the approximation of shortest common supersequences and longest common subsequences. SIAM J. Comput., 24:1122-1139, 1995. 106

308
D. J.Kropaczek and P. J. Turinsky. Incore nuclear fuel management optimization for pressurized water reactors utilizing simulated annealing. In Nuclear Technology 95, pages 9-32, 1995. 185

309
Prasanna Jog, Jung Y. Suh, and Dirk Van Gucht. The effects of population size, heuristic crossover and local improvement on a genetic algorithm for the travelingsalesman problem. In Schaffer [517], pages 110-115.

5, 7

310
T. Jokinen. Designing of the Rotating Electric Machine. TKK Offset, 1982. 238

311
J. Rees Jones. Cams and Cam Mechanisms. Mechanical Engineering Publications Ltd, London, 1978. 198, 198

312
Terry Jones. Crossover, macromutation, and population-based search. In Smith [529], pages 73-80. (prog) 40, 116, 118, 120

313
Terry Jones. Evolutionary Algorithms, Fitness Landscapes and Search. PhD thesis, University of New Mexico, 1995. ([]) 28, 129

314
Kenneth A. De Jong. Analysis of the Behaviour of a Class of Genetic Adaptive Systems. PhD thesis, University of Michigan, 1975. (University Microfilms No. 76-9381) 19

315
Kenneth A. De Jong, William M. Spears, and Diana F. Gordon. Using genetic algorithms for concept learning. Machine Learning Journal, 13(2-3):161-188, November-December 1993. (EI M050053/94) 133

316
Richard S. Judson, E. P. Jaeger, Adi M. Treasurywala, and M. L. Peterson. Conformation searching methods for small molecules II: A genetic algorithm approach. Journal of Computational Chemistry, 14(11):1407-1414, 1993.

116

317
A. Juels and M. Wattenberg. Stochastic hillclimbing as a baseline method for evaluating genetic algorithms. Technical Report CSD-94-834, Department of Computer Science, University of California at Berkeley, 1994. 59

318
Bryant A Julstrom. Very greedy crossover in a genetic algorithm for the travelingsalesmanproblem. In K. M. George, Janice H. Carroll, Ed Deaton, Dave Oppenheim, and Jim Hightower, editors, Proceedings of the 10th ACM Symposium on Applied Computing, pages 324-328, 1995. ACM Press. (Julstrom) 7, 19

319
Bryant A. Julstrom. What have you done for me lately adapting operator probabilities in a steady-state genetic algorithm. In Smith [529], pages 324-328. (prog) 15, 16, 17, 21

320
Pekka Jussila. Sääntöjärjestelmät [Rulebased systems and GA]. In Alander [84], chapter 7, pages 83-94. (in Finnish)

321
Kazuhiro Kado, Dave Corne, and Peter Ross. A study of genetic algorithm hybrids for facility layoutproblems. In Smith [529], (prog) 95

322
Hillol Kargupta and Robert Elliot Smith. Systemindentification with evolving polynomial networks. In Belew and Booker [115], pages 370-376.

80

323
Risto Karjalainen. Using genetic algorithms to find technical trading rules in financial markets. PhD thesis, University of Pennsylvania, Wharton School of the, 1994. (Jonsson; Nordahl and Madjidi)

324
Kauffman, S.A. Adaptation on rugged fitness landscapes. In D.L. Stein, editor, Lectures in the Sciences of Complexity. Addison-Wesley, 1989. 129

325
Kauffman, S.A. Principles of adaptation in complex systems. In Stein, D.L., editor, Lectures in the Sciences of Complexity, pages 616-712. Addison-Wesley, 1989. 129

326
Kauffman, S.A., Levin, S. Towards a general theory of adaptive walks on rugged landscapes. Journal of Theoretical Biology, 128:11-45, 1987. 129

327
H. Kayama, T. Hattori, and H. Yoshida. Adaptive control for random access traffic in mobile radio systems. IEEE Transactions on Vehicular Technology, 42(1):87-93, 1993. 257

328
S. Kazarlis, A. Bakirtzis, and V. Petridis. A genetic algorithm solution to the unit commitment problem. In Proceedings of the IEEE PES Winter 94-95 Meeting, , 1994. IEEE, New York. (accepted for publication in)(Petridis) 248

329
Syros A. Kazarlis, A. G. Bakirtzis, and V. Petridis. A genetic algorithm solution to the unitcommitmentproblem. In Proceedings of the IEEE Power Engineering Winter Meeting, volume , New York, January 1995. IEEE, New York. (elecserv.eng.auth.gr/pubunitcom.ps.Z) 248

330
B. Kegl. Optimal design of conventional in-line fuel injection equipment. Proceedings of the Institution of Mechanical Engineers, Part D (Journal of Automobile Engineering), 209(D2):135-141, 1995. 199

331
Arto Kettunen, Mauno Pesonen, and Petri Räsänen. Nonindustrial private forest landowner's choice of timber management strategy -- modelling with genetic algorithm. In Alander [27], pages 151-169.

(ftp.uwasa.fics/report94-2Kettunen.ps.Z)

332
Arto Kettunen, Mauno Pesonen, and Petri Räsänen. Nonindustrial private forest landowner's choice of timber management strategy: predicting the cutting levels with genetic algorithm. In Christer Carlsson, Timo Järvi, and Tapio Reponen, editors, Multiple Paradigms for ArtificialIntelligence, Proceedings of Contributed Session Papers of the Conference on ArtificialIntelligence Research in Finland [Suomen Tekoälytutkimuksen Päivät STeP-94, pages 216-229, Turku, 29.-31. August 1994. Finnish Artificial Intelligence Society (FAIS).

333
Sami Khuri, Martin Schütz, and Jörg Heitkötter. Evolutionary heuristics for the bin-packing problem. In Pearson et al. [463], pages 285-288.

90

334
L. Kiernan and Kevin Warwick. Adaptive alarm processor for fault diagnosis on power transmission networks. Intelligent Systems Engineering, 2(1):25-37, 1993.

206

335
Vincent Kiernan. Growing money from algorithms. New Scientist, 144(1954):25-27, 3. December 1994.

336
Jinwoo Kim, Yoonkeon Moon, and Bernard P. Zeigler. Designing fuzzy net controllers using genetic algorithms. IEEE Control Systems, 15(3):66-72, June 1995.

288

337
Kenneth E. KinnearJr., editor. Advances in GeneticProgramming. MIT Press, Cambridge, MA, 1994. (cessu)

338
Lauri Kinnunen. Hissien odotusaika lyhenee tuntuvasti - geneettinen algoritmi vähentää hermostumista [Elevator waiting times are shortening considerably]. Tekniikka & Talous, (31):26, 7. September 1995.

339
S. Kirkpatrick, Jr C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220, 1983. 37, 119

340
Aki Kivelä. Tierra - ohjelmaolioiden evoluutiota ja ekologiaa [Tierra - program objects evolution and ecology]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 265-272, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

341
J. Klockgether and H.-P. Schwefel. Two-phase nozzle and hollow core jet experiments. In Elliott [161], pages 141-148. 198

342
R. Knosala and W. Pedrucz. Evaluation of design alternatives in mechnanical engineering. IEEE Expert, 47:269-280, 1992. 238

343
S. Koakutsu and H. Hirata. Genetic simulated annealing for floor design", proc. ifip 16th conference on system modeling and optimization. In Proc. IFIP 16th Conference on System Modeling and Optimization, pages 268-277, Compiegne, France, July 1993. IFIP. 95

344
Hannu Koivisto. A practical approach to model based neural network control. PhD thesis, Tampere University of Technology, Automation and Control Institute, 1995. 157

345
Joost N. Kok and Patrik B. J. Floréen. Efficient tracing of the behaviour of genetic algorithms using expected values of bit and Walsh products. In Smith [529], (prog)

346
R.E. Korf. A shape independent theory of space allocation. Environment and Planning B, 4(4):37-50, 1977. 95

347
M. P. Koster. Vibrations of Cam Mechanisms. Philips Technical Library. The Macmillan Press Ltd, London, 1974. 198, 198

348
John R. Koza. Evolving a computer program to generate randomnumbers using the geneticprogramming paradigm. In Belew and Booker [115], pages 37-44.

215

349
John R. Koza. GeneticProgramming: On Programming Computers by Means of NaturalSelection and Genetics. The MIT Press, Cambridge, MA, 1992.

80, 81, 82, 93, 134, 215

350
Kristinn Kristinsson and Guy A. M. Dumont. System identification and control using genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 22(5):1033-1046, 1992.

288

351
A. Krogh and J.A. Hertz. A Simple Weight Decay can Improve Generalization. In J.E. Moody, S.J. Hanson, and R.P. Lippmann, editors, Advances in Neural Information Processing Systems, Vol. 4, volume 4, pages 950-957. Morgan Kaufmann, 1992. 165

352
J.B. Kruskal. On the shortest spanning subtree of a graph and the travelling salesman problem. Proc. Amer. Math. Soc., 7(1):48-50, 1956. 53

353
Kruskal, W.H. A nonparametric test for the several sample problem. Ann. Math. Statist., 23:525-540, 1952. 120

354
Kruskal, W.H., Wallis, W.A. Use of ranks in one-criterion variance analysis. J. Amer. Statist. Assoc., 47:583-621, 1952. 120

355
S. Kullback. Information Theory and Statistics. John Wiley & Sons Inc., 1988. 259

356
S. C. Kwasny and B. L. Kalman. A superior error function for training neural nets. In Proceedings of the International Joint Conference on Neural Networks, Seattle, Washington, July 1991. 175

357
S. C. Kwasny and B. L. Kalman. Why tanh: Choosing a sigmoidal function. In Proceedings of the International Joint Conference on Neural Networks, Baltimore, Maryland, June 1992. Morgan Kaufmann. 175

358
D. P. Kwok and P. Wang. Fine-tuning of classical PIDcontrollers based on genetic algorithms. In R. Zurawski and T. S. Dillon, editors, Proceedings of the IEEE International Workshop on Emerging Technologies and Factory Automation, pages 37-43, Melbourne (Australia), 11.-14. August 1992. CRL Publishing Ltd., London.

288

359
D. P. Kwok, P. Wang, and H. S. Choi. Optimal-tuning of classical PIDcontrollers using genetic algorithms. In Proceedings of HKIE CAI Symposium'92 on Advanced Control and Automation and Applications, pages 28-39, Hong Kong, March 1992.

288

360
Jari Kyngäs. A new method for defining parameters to SETAR models. Manuscript, 1996. 176

361
Laarhoven, P.J.M., Aarts, E.H.L. Simulated Annealing: Theory and Applications. Mathematics and Its Aplications. D. Reidel Publishing Company, Dordrecht, 1987. 119

362
Pauli Laine and Mika Kuuskankare. Genetic algorithms in musicalstyle oriented generation. In Proceedings of the First IEEE Conference on Evolutionary Computation [298], pages 858-862.

363
Christopher G. Langton, Charles Taylor, J. Doyne Farmer, and Steen Rasmussen, editors. ArtificialLife II, Proceedings of the Workshop on ArtificialLife Held February, 1990 in SantaFe, NewMexico, Proceedings Volume X, Santa Fe Institute Studies in the Sciences of Complexity. Addison-Wesley, Reading, MA, 1992.

364
P. S. Laursen. Problem-independent parallel simulatedannealing using selection and migration. In Davidor et al. [147], pages 408-417. (CCA 36494/95)

365
Hannu Lehtinen. Liikeratojen optimointi [Robot path planning by Davidor]. In Alander [84], chapter 6, pages 73-82. (in Finnish)

366
Raili Leino. Tekoelämäohjelma tehoaa suuriin muuttujamääriin [Artificiallife solves hard problems]. Tekniikka & Talous, 33(30):28, September 1994. (in Finnish)

367
Sami Leino. Skedulointiongelma [Scheduling and GA]. In Alander [84], chapter 8, pages 95-104. (in Finnish)

368
Donald Dewar Leitch. A New Genetic Algorithm for the Evolution of FuzzySystems. PhD thesis, Oxford University, Engineering Science Department, 1995.

(ftp.robots.ox.ac.uk/pub/outgoing/don/thesis.ps.Z) 268, 271, 272, 272, 288

369
Donald Dewar Leitch and Penelope Probert. Genetic algorithms for the development of fuzzy controllers for autonomousguidedvehicles. In Proceedings of the Second European Congress on Intelligent Techniques and SoftComputing (EUFIT'94), volume 1, pages 464-469, Aachen (Germany), 20.-23. September 1994. ELITE-Foundation.

(ftp.robots.ox.ac.uk/pub/outgoing/don/eufit94.ps.Z) 288

370
Ted Lewis. The next tex2html_wrap_inline45661 years: Part I. Computer, 29(4):64-70, April 1996. 299

371
Gunar E. Liepins, M. R. Hilliard, Mark R. Palmer, and Michael Morrow. Greedy genetics. In Grefenstette [224], pages 90-99.

5, 7

372
Gunar E. Liepins and Michael D. Vose. Representational issues in genetic algorithms. Journal of Experimental and Theoretical Artificial Intelligence, 2:101-115, 1990. 129

373
Gunar E. Liepins and Michael D. Vose. Deceptiveness and genetic algorithm dynamics. In Rawlins [480], pages 36-52.

117

374
A. Y.-M. Lin and J. A. Silvester. Priority queueing strategies and buffer allocation protocols for traffic control at an ATM integrated broadband switching system. IEEE Journal on Selected Areas in Communications, 9(9):1524-1536, 1991. 252

375
Feng-Tse Lin, Cheng-Yan Kao, and Ching-Chi Hsu. Applying the genetic approach to simulatedannealing in solving some NP-hard problems. IEEE Transactions on Systems, Man, and Cybernetics, 23(6):1752-1767, December 1993.

93

376
Kristian Lindgren. Evolutionary phenomena in simple dynamics. In Langton et al. [363], pages 295-312. (MMitchell93)

377
Kristian Lindgren and Mats G. Nordahl. Evolutionary dynamics of spatial games. In [1], pages 604-616.

378
Wei Liutao, Zeng Qingchuan, Jiang Tiebing, Yu Jinjiang, and Huang Dinjiang. A new heuristic genetic algorithm and its application in solution of the unit commitment. Proc. CSEE (China), 14(2):67-72, March 1994. (in Chinese)(EEA 53701/94) 248

379
Lennart Ljung. System identification: Theory for the user. Prentice Hall, New Jersey, 1987. 156

380
Carlos B. Lucasius and Gerrit Kateman. Understanding and using genetic algorithms. 1. concepts, properties and context. Chemometrics and Intelligent Laboratory Systems, 19(1):1-33, May 1993. (CCA 42775/93 EEA 47004/93) 122

381
Luke, B.T. Evolutionary Programming Applied to the Development of Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships. Journal of Chemical Information and Computer Sciences, 34(6):1279-1287, 1994. 130

382
Henrik Hautop Lund. Evolving robot control systems. In Alander [74], pages 85-96. (ftp.uwasa.fics/1NWGALund2.ps.Z)

383
Henrik Hautop Lund. Genetic algorithms with dynamic fitness measures. In Alander [74], pages 69-84. (ftp.uwasa.fics/1NWGALund1.ps.Z)

384
Henrik Hautop Lund, Luigi Pagliarini, and Orazio Miglino. Artistic design with genetic algorithms and neuralnetworks. In Alander [74], pages 97-106. (ftp.uwasa.fics/1NWGALund3.ps.Z)

385
E. Weyuker M. Davis. Computability, Complexity, and Languages--Fundamentals of Theoretical Computer Science. Academic Press, New York, New York, 1983. 227

386
Donald Macfarlane and Ian East. An investigation of several parallel genetic algorithms. In S. J. Turner, editor, Proceedings of the 12th Occam UserGroup, Technical Meeting, pages 60-67, Exeter (UK), 2.-4. April 1990. IOS Press, Amsterdam. 62

387
X. Ma. A genetic algorithm based approach to thermal unitcommitment of electric powersystem. Electric Power System Research, 34(Iss. 1):29-36, 1995. ([]) 239

388
D. Maier. The complexity of some problems on subsequences and supersequences. J. ACM, 25:322-336, 1978. 106

389
Timothy T. Maifeld and Gerald B. Sheble. Evolution of a unitcommitment schedule using a genetic algorithm. In , editor, Proceedings of the Twenty-Sixth Annual NordAmerican Power Symposium, volume 2, pages 583-592, Manhattan, KS, 26.-27. September 1994. Kansas State University, Manhattan, KS. (EEA 52246/95) 248

390
Asko J. Mäkelä. Alkavatko taideteoksetkin elää [Is art getting life]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 273-274, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

391
Erkki Mäkinen and Mika Sieranta. Genetic algorithms for drawing bipartite graphs. International Journal of Comput. Math., 53(3-4):157-166, 1994.

392
Erkki Mäkinen and Mika Sieranta. Genetic algorithms for drawing bipartite graphs. Technical Report A-1994-1, University of Tampere, Department of Computer Science, 1994.

393
Raino A. E. Mäkinen and Jari Toivanen. Parallel solution of optimal shape design problem governed by Helmholtz/potential flow equations. In David H. Bailey, Petter E. Bjørstad, John R. Gilbert, Michael V. Mascagni, Robert S. Schreiber, Horst D. Simon, Virginia J. Torczon, and Layne T. Watson, editors, Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, pages 102-103, San Francisco, CA, 15.-17. February 1995. SIAM, Philadelphia.

394
Raino A. E. Mäkinen and Jari Toivanen. Parallel solution of optimal shapedesignproblem governed by Helmholtz/potential flow equations. Report 5, University of Jyväskylä, Laboratory of Scientific Computing, 1995.

199

395
Bernard Manderick, Mark de Weger, and Piet Spiessens. The genetic algorithm and the structure of the fitness landscape. In Belew and Booker [115], pages 143-150.

129

396
Z. Manna and A. Pnueli. The Temporal Logic of Concurrent and Reactive Systems: Specification. Springer, New York, 1991. 268

397
Z. Manna and A. Pnueli. Models for reactivity. Acta Informatica, 30:609-678, 1993. 268

398
R. Männer and B. Manderick, editors. Parallel Problem Solving from Nature, 2, Brussels, 28.-30. September 1992. Elsevier Science Publishers, Amsterdam.

399
Timo Mantere. Sähkön hankinnan optimointi [unit commitment problem, a comparison of some solution methods]. Master's thesis, University of Vaasa, Department of Information Technology and Production Economics, 1996. (in Finnish) 250

400
Janne Mäntykoski. Parallel implementation of genetic algorithms. Master's thesis, Helsinki University of Technology, Department of Electrical Engineering, Laboratory of Signal Processing and Computer Technology, 1994.

401
Janne Mäntykoski and Jarkko Vuori. Non-linear filter design using genetic algorithm. In Alander [27], pages 89-95.

(ftp.uwasa.fics/report94-2Mantykoski.ps.Z)

402
S. Maouche. A contribution to the optimization of irregular shape placement. Application to textile manufacturing industry (in French). PhD dissertation, University of Science and Technology of Lille- france, Department of Automation, Jan. 1996. 90

403
S. Maouche and C. Bounsaythip. An algorithm for a marking system. e-admissible resolution. In Proc. of the 12th Int. Conf. On Syst. Science, pages 345-354, Wroclaw, Poland, Sept. 12-15 1995. 90

404
Timothy Masters. Practical neural networks recipes in C++. Academic Press, Inc, 1993. 174

405
Timothy Masters. Signal and image processing with neural networks. John Wiley & Sons, Inc, 1994. 175, 175

406
Alex C. W. May and Mark S. Johnson. Improved genetic algorithm-based protein structure comparisons: pairwise and multiple superpositions. Protein Engineering, 8(9):872-882, 1995.

407
D. B. McGarrah and Richard S. Judson. An analysis of the genetic algorithm method of molecular conformation determination. Journal of Computational Chemistry, 14(11):1385-1395, 1993.

116

408
McNamara, J.M. Evolutionary paths in strategy space: an improvement algorithm for life-history strategies. Journal of Theoretical Biology, 161(1):23-38, 1993. 130

409
Elaine C. Meng and Irwin D. Kuntz. Molecular docking: A tool for ligand discovery and design. Drug Information Journal, 28:735-749, 1994. 134

410
N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, M.N. Teller, and E. Teller. Equations of state calculations by fast computing machines. Journal of Chem. Phys., 21:1087-1092, 1953. 50

411
Hermann Mettig. Die Konstruktion schnellaufender Verbrennungsmotoren. Walter de Gruyter, Berlin, 1973. 196, 198

412
Zbigniew Michalewicz. Genetic Algorithms + DataStructures = Evolution Programs. Artificial Intelligence. Springer-Verlag, New York, 1992.

93

413
Zbigniew Michalewicz. Genetic Algorithms + DataStructures = Evolution Programs. Springer-Verlag, New York, 2 edition, 1994. (the second edition of [412]) 63

414
Zbigniew Michalewicz and Cezary Z. Janikow. GENOCOP: A genetic algorithm for numerical optimization problems with linear constraints. Communications of the ACM, :, 1994. (accepted for publication)(Michalewicz92book) 248

415
R. S. Michalski. A theory and methodology of inductive learning. In In R. S. Michalski and J. Carbonell and T. Mitchell (Eds.), Machine Learning: An AI Approach, volume Vol. I, pages 83-134, Los Altos, CA, 1983. Morgan Kaufmann. 137, 140, 143

416
M. Middendorf. More on the complexity of common superstring and supersequence problems. Theoret. Comput. Sci., 125:205-228, 1994. 106

417
Matti Mielonen. Jospa kone vielä loisi [A creative machine]. Helsingin Sanomat, 34896(18):D2, 20. January 1996.

418
V.J. Milenkovic, K.M. Daniels, and Z. Li. Automatic marker making. In T. Shermer, editor, Proc. of the 3rd Canadian Conference on computational Geometry, pages 243-246, Simon Fraser University, Vancouver, B.C., Aug. 6-10 1991. 90

419
Geoffrey F. Miller, Peter M. Todd, and Shailesh U. Hegde. Designing neuralnetworks using genetic algorithms. In Schaffer [517], pages 379-384.

164, 167

420
Melanie Mitchell. An Introduction to Genetic Algorithms. MIT Press, Cambridge, MA, 1996. (News) 72

421
Melanie Mitchell, Stephanie Forrest, and John H. Holland. The royal road for genetic algorithms: Fitness landscapes and GA performance. In Varela and Bourgine [572], pages 245-254.

(ftp.santafe.edu/pub/Users/mmsfi-91-10-046.ps.Z) 28

422
Melanie Mitchell and John H. Holland. When will a genetic algorithm outperform hill-climbing In J. D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, Morgan Kaufmann, San Mateo, CA, 1993. (to appear in; ftp.santafe.edu/pub/Users/mmga-hillclimb.ps.Z) 28

423
C. Mohtadi. Numerical algorithms in self-turning control. In K. Warwick, editor, Implementation of Self-Tuning Controllers, pages 67-95. Peter Peregrinus Ltd., London, 1988. 258

424
Atte Moilanen. Parameterization of a metapopulation model: an empirical comparison of several different genetic algorithms, simulated annealing and tabu search. In Proceedings of the Second IEEE Conference on Evolutionary Computation, volume 2, pages 551-556, Perth (Australia), November 1995. IEEE, IEEE. (prog.)

425
M. F. Møller. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6:525-533, 1993. 175

426
David J. Montana and Lawrence Davis. Training feedforward neuralnetworks using genetic algorithms. In N. S. Sridharan, editor, Eleventh International Joint Conference on ArtificialIntelligence (IJCAI-89), pages 762-767, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA.

174

427
Montecucchi, P.C. Castiglione, R de, Piani, S., Gozzini, L., Erspamer, V. Amino acid composition and sequence of dermorphin, A novel opiate-like peptide from the skin of Phyllomedusa Sauvagei. Int. J. Peptide Protein Res., 17:275-283, 1981. 118

428
David E. Moriarty and Risto Miikkulainen. Evolving complex Othello strategies using marker-based genetic encoding of neuralnetworks. Technical Report AI93-206, The University of Texas at Austin, Department of Computer Science, September 1993.

(cs.utexas.edu/pub/neural-nets/papersmoriarty.othello.ps.Z)

429
David E. Moriarty and Risto Miikkulainen. Evolving neural networks to focus mini-max search. In , editor, Proceedings of the Tweftth National Conference on Artificial Intelligence, volume 2, pages 1371-1377, Seattle, WA, 31. July-4. August 1994. AAAI Press / The MIT Press. (EI M027527/95)

430
F. H. Moss and A. Segall. An optimal control approach to dynamic routing in networks. IEEE Transactions on Automatic Control, AC-27(2):329-339, 1982. 252

431
H. Müller and Petritsch. Genetic programming and simulatedannealing for optimization of unit commitment. In , editor, Proceedings of the 11th Power Systems Computations Conference, page 1097, 1993. ([448]) 248

432
A. Murgu. Distributed neural control for markov decision processes in hierarchic communication networks. In Proceedings of the Third International Workshop on Cellular Neural Networks and their Applications (CNNA-94), pages 291-296, Rome, Italy, 1994. 252, 258

433
A. Murgu. Mapping discounted and undiscounted markov decision problems onto Hopfield neural networks. In S. I. Andersson, editor, Analysis of Dynamical and Cognitive Systems, volume 888 of Lecture Notes in Computer Science, pages 137-167. Springer-Verlag, Berlin, 1995. 258, 258

434
Alexandru Murgu and Risto Lahdelma. Tracking statistics in communication traffic control using a genetic algorithm. In Alander [74], pages 241-258. (ftp.uwasa.fics/1NWGAMurgu.ps.Z) 257, 258

435
P. Myllymäki. Mapping Bayesian Networks to Stochastic Neural Networks: A Foundation for Hybrid Bayesian-Neural Systems. PhD thesis, Report A-1995-1, Department of Computer Science, University of Helsinki, December 1995. 50, 50

436
R. Nakano, Yuval Davidor, and T. Yamada. Optimal populationsize under constant computation cost. In Davidor et al. [147], pages 130-138. (CCA 36485/95) 4

437
K. S. Narendra, P. Ortega, and P. Dorato, editors. Advances in Adaptive Control. IEEE Press, 1991. 258, 258

438
David John Nettleton. Evolutionary Algorithms in Artificial Intelligence: A Comparative Study Through Applications. PhD thesis, University of Durham, Department of Computer Science, UK, 1995.

(vega.dur.ac.ukpub/comp-sci/theses/dave-nettletonpart1-6.ps.gz) 271

439
Peter Nordin. Advances in geneticprogramming. In KinnearJr. [337], chapter 14. A compiling geneticprogramming system that directly manipulates the machinecode, pages 311-331.

440
Peter Nordin and Wolfgang Banzhaf. Complexity compression and evolution. In Smith [529], (prog)

441
Peter Nordin and Wolfgang Banzhaf. Evolving turing-complete programs for a register machine with self-modifying code. In Smith [529], (prog)

442
Anna-Lena Nordström and Suleyman Tufekci. A genetic algorithm for the talent scheduling problem. Computers & Operations Research, 21(8):927-940, October 1994.

443
Tony Nordström. Using genetic optimization for mapping data flow graphs onto a regular processor array. Technical Report L. 152, Chalmers Tekniska Högskola, Sekt. för elektro- och datorteknik, 1993. (Gopher/Chalmers)

444
Howard Oakley. Advances in geneticprogramming. In KinnearJr. [337], chapter 17. Two scientific applications of geneticprogramming: Stack filters and non-linear equation fitting to chaotic data, pages 369-389. (cessu) 80

445
Shigeru Obayashi and Susumu Takanashi. Genetic algorithm for aerodynamic inverse optimization problem. In [2], pages 7-12. (ssq) 199

446
L. Oliveira, A.C.M. Paiva, and G. Vriend. A common motif in g-protein coupled transmembrane seven helix receptors. 7TM, 1, 1992. 135

447
I. M. Oliver, D. J. Smith, and J. R. C. Holland. A study of permutation crossoveroperators on the travelingsalesmanproblem. In Grefenstette [224], pages 224-230.

5, 8, 19

448
S. O. Orero and M. R. Irving. Scheduling of generators with a hybrid genetic algorithm. In [2], pages 200-206.

248

449
Sophocles Orfanidis. Optimum Signal Processing - An Introduction. MacMillan Publishing Company, 2nd edition, 1988. 81

450
Pavel Osmera, editor. Proceedings of the MENDEL'95, Brno (Czech Republic), 26.-28. September 1995. Technical University of Brno.

451
Patric Östergård. Kombinatorinen optimointi paikallisella haulla [Combinatorial optimization with local search]. In , editor, VI Teollisuus- ja Insinöörimatematiikan Päivät [Proceedings of the VI Finnish Industrial and Engineer Mathematics Days], page 1, Tampere (Finland), 23.-24. May 1994. (in Finnish)

452
Sakari Palko. The application of genetic algorithm in a design of a new slot geometry for cage induction motors. In , editor, Proceedings of the Third International Workshop on Optimisation and Inverse Problems in Electromagnetism, Geneva (Switzerland), 19.-21. September 1994. CERN, Geneva (Switzerland). ([453])

453
Sakari Palko. Structural optimisation of cage induction motors using finiteelementanalysis. Licentiate thesis, Helsinki University of Technology, Laboratory of Electromechanics, 1994.

238, 239

454
C. Palmer and A. Kershenbaum. An approach to a problem in network design using genetic algorithms. Networks, 26:151-163, 1995. 54

455
K. Park and B. Carter. On the effectiveness of genetic search in combinatorial optimization. Technical Report BU-CS-94-010, Computer Science Department, Boston University, 1994. 59

456
Park, K. A Comparative Study of Genetic Search. In Eshelman, L.J., editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 512-519. Morgan Kaufmann Publishers, Inc, San Fransisco, 1995. 116

457
Pastore, A., Temussi, P.A., Salvadori, S., Tomatis, R., Mascagni, P. A conformational study of he opioid peptide dermorphin by one-dimensional and two-dimensional nuclear magnetic resonance spectroscopy. Journal of Biophysics, 48:195-200, 1985. 118

458
Timo Paukku. Tekoelämä etenee... [Artificiallife proceeds...]. Helsingin Sanomat, :D1, 27. March 1993. (in Finnish)

459
Timo Paukku. Tekohyöteinen vaistoaa vaaran [Artificial insect senses danger]. Helsingin Sanomat, (262):D1, 25. September 1993. (in Finnish)

460
Timo Paukku. Tekoelämä heräsi heti eloisaksi. Helsingin Sanomat, 34660(134):D1, 20. May 1995. (in Finnish)

461
Timo Paukku. Vitalismi, entropia, tekoelämä. Helsingin Sanomat, 34660(134):D1, 20. May 1995. (in Finnish)

462
D. Beasley P.C. Chu. A genetic algorithm for the set partioning problem. Technical report, Techn. Report of the Management School Imperial College, England, 1995. 93

463
D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors. Artificial NeuralNets and Genetic Algorithms, Alès (France), 19.-21. April 1995. Springer-Verlag, Wien New York.

464
Pedersen, J.T., Moult, J. Genetic algorithms for protein structure prediction. Current Opinion in Structural Biology, 6:227-231, 1996. 130

465
J. Périaux, M. Sefrioui, B. Stoufflet, B. Mantel, and E. Laporte. Robust genetic algorithms for optimization problems in aerodynamic design. In Winter et al. [594], pages 371-396.

199

466
Kimmo Pietiläinen. Luomisen kahdeksas päivä [the eight day of genesis]. Tiede 2000, 15(5):26-28, August 1995. (in Finnish)

467
Carlo Poloni. Hybrid GA for multiobjective aerodynamic shape optimization. In Winter et al. [594], pages 397-415.

199

468
P. W. Poon and G. T. Parks. Optimizing PWR reload core design. In Männer and Manderick [398], pages 371-380.

185

469
K. E. Porter and S. O. Momoh. Finding the optimum sequence of distillation columns - an equation to replace the rules of thumb (heuristics). Chem. Eng. J., 46:97-108, 1991. 221, 221, 221, 221

470
Lutz Prechelt. PROBEN1 - A Set of Neural Network Benchmark Problems and Benchmarking Rules. Technical Report TR 21/94, Universität Karlsruhe, Fakultät für Informatik, 76128 Karlsruhe, Germany, September 1994. 168, 169, 169

471
F. Prempti. Methodes stochastiques dans les problemes de placement (in French). PhD dissertation, Univ. Scientifique et Medicale de Grenoble- France, Department of Operational Research, 1983. 90, 90

472
William H. Press, Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling. Numerical recipes: The art of scientific computing. Cambridge University Press, Cambridge, 1986. 155

473
T. Pröll and M. N. Karim. Model predictive ph control using real-time narx approach. AIChE Journal, 40(2):269-282, 1994. 152

474
Xiaofeng Qi and Francesco Palmieri. Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space, part I: Basic properties. IEEE Transactions on Neural Networks, 5(1):102-119, January 1994. (toc) 259

475
Domenico Quagliarella. Genetic algorithms applications in computational fluid dynamics. In Winter et al. [594], pages 417-442.

199

476
Domenico Quagliarella and A. DellaCioppa. Genetic algorithms applied to the aerodynamic design of transonic airfoils. J. Aircraft, 32(4):889-891, 1995. ([][152]) 239

477
Nicholas J. Radcliffe. Forma analysis and random respectful recombination. In Belew and Booker [115], pages 222-229. (ga:Radcliffe91aa; ftp.epcc.ed.ac.uk/pub/tr/91tr9102.ps.Z) 129

478
Nicholas J. Radcliffe. Forma analysis and random respectful recombination. Technical Report TR-91-02, Edinburgh Parallel Computing Centre, 1991. (ga:Radcliffe91a; ftp.epcc.ed.ac.uk/pub/tr/91tr9102.ps.Z)

479
K.-J. Räihä and E. Ukkonen. The shortest common supersequence problem over binary alphabet is NP-complete. Theoret. Comput. Sci., 16:187-198, 1981. 106

480
Gregory J. E. Rawlins, editor. Foundations of Genetic Algorithms, Indiana University, 15.-18. July 1990 1991. Morgan Kaufmann: San Mateo, CA.

481
Ingo Rechenberg. Evolutionsstrategie: Optimierung technisher Systeme nach Prinzipien der biologischen Evolution. Frommann-Holzboog Verlag, Stuttgart, 1973. 130

482
Colin R. Reeves. Using genetic algorithms with small populations. In Forrest [192], pages 92-99.

4, 5

483
Colin R. Reeves. A genetic approach to bin-packing. In Alander [27], pages 35-49. (ftp.uwasa.fics/report94-2Reeves2.ps.Z) 90

484
Colin R. Reeves and C. Höhn. Integrating local search into genetic algorithms. In , editor, Proceedings of the Applied Decision Technologies Seminar, volume 2, Brunel University, 3.-5. April 1995. Brunel University. (Reeves) 31

485
Gerhard Reinelt. The Traveling Salesman: Computational Solutions for TSP Applications, volume 840 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 1994.

486
Edward M. Reingold, Jurg Nievergelt, and Narsingh Deo. Combinatorial Algorithms: Theory and Practice. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1977. 32

487
Jean-Michel Renders and Stéphane P. Flasse. Hybrid methods using genetic algorithms for global optimization. IEEE Trans. Systems, Man and Cybernetics, 26(2):243-258, April 1996. 268, 275

488
R. A. Richards and S. D. Sheppard. Learning classifiersystems in design optimization. Design Theory and Methodology, DE-42:179-186, 1992. ([157]) 199

489
Martin Riedmiller and Heinrich Braun. A direct adaptive method for faster backpropagation learning: The RPROP algorithm. In Proceedings of the IEEE International Conference on Neural Networks, San Francisco, CA, April 1993. 169

490
Roberts, G.C.K., editor. NMR of Macromolecules, A Practical Aproach. Oxford University Press, Oxford, U.K., 1993. 116

491
Paul L. Rosin and Freddy Fierens. Improving Neural Network Generalisation. In Proceedings of IGARSS'95, Firenze, Italy, July 1995. 167

492
P. Ross. About PGA v2.7. University of Edinburgh, 1994. 108

493
P. Ross, D. Corne, and H.-L. Fang. Successful lecture timetabling with evolutionary algorithms. ECAI'94, Workshop W17: Applied Genetic and Other Evolutionary Algortithms, 1994. 93

494
Harols A. Rothbart. Cams - Design, Dynamics and Accuracy. John Wiley & Sons Inc., New York, 1956. 198, 198

495
G. Roussel. Optimization of Irregular shape placement on plain sheeets. Application to textilemanufacturing industry (in French). PhD dissertation, Univ. Sciences et Techn. de Lille-Fr., Department of Automation, Jan. 1994. 98

496
D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning internal representations by error propagation. In D. E. Rumelhart, J. McClelland, and the PDP Research Group, editors, Parallel Distributed Processing. MIT Press, 1986. 173

497
David E. Rumelhart, Bernard Widrow, and Michael A. Lehr. The basic ideas in neural networks. Communications of the ACM, 37(3):87-92, March 1994. 164

498
D.E. Rumelhart, G.E. Hinton, and R.J. Williams. Learning Internal Representations by Error Propagation. In David E. Rumelhart, James L. McClelland, and the PDP Research Group, editors, Parallel Distributed Processing. Explorations in the Microstructure of Cognition. Volume 1: Foundations, pages 318-364. MIT Press, 1986. 164

499
Matti Ryynänen. Optimization of permanent magnets ordering of hybrid X-ray wiggler for MAX-II with a chained pairing and genetic algorithm. In Alander [27], pages 61-70.

(ftp.uwasa.fics/report94-2Ryynanen.ps.Z)

500
Liisa Saarenmaa. Induktiivinen oppiminen metsänviljelyn tietokannan tulkinnassa [Inductive learning in interpretation of databases of forest cultivation]. PhD thesis, University of Helsinki, Department of Forest Ecology, 1992.

501
H. Saitoh, K. Inoue, and J. Tojoda. Genetic algorithm approach to the unitcommitmentproblem. In , editor, Proceedings of the International Conference on Intelligent System Application to PowerSystems, volume 2, pages 583-589, Montpellier (France), 5.-9. September 1994. EC2, Nanterre Cedex (France). (CCA 18385/95) 248

502
Mehrdad Salami and Greg Cain. An adaptive PID controller based on genetic algorithm processor. In [2], pages 88-93.

288

503
Mehrdad Salami and Greg Cain. Multiple genetic algorithm processor for the economicpowerdispatchproblems. In [2], pages 188-193.

248

504
Ilpo Salonen. Käärmemäiset sykkyrät pyörivät, hajoavat ja kulkevat itsensä läpi, tietokonetaiteilija William Latham luo olioitaan evoluution sääntöjen avulla [Refers to works of computer artist William Latham]. Helsingin Sanomat, :D3, 16. April 1994. (in Finnish)

505
Mahfoud W. Samir. Nichingmethods for genetic algorithms. PhD thesis, University of Illinois at Urbana-Champaign, 1995. (DAI Vol 56 No 4) 133

506
Eric Sandgren, Eric Dean Jensen, and J. W. Welton. Topological design of structural components using genetic optimization methods. In S. Saigal and S. Mukherjee, editors, Sensitivity analysis and optimization with numerical methods, pages 31-43. The American Society of Mechanical Engineers, New York, 1990. EI A089812/91) 198, 199

507
Tuomas Sandholm. 1-D fraktaalin inverssi [1-D fractal inverse and GA]. In Alander [84], chapter 11, pages 126-132. (in Finnish)

508
Sam Sandqvist. On finding optimal potential customers from a large marketing database - A genetic algorithm approach. In Eero Hyvönen, Jouko Seppänen, and Markku Syrjänen, editors, STeP-92 Tekoälyn uudet suunnat, volume 3, pages 35-38, Espoo, 9.-11. June 1992. Finnish Artificial Intelligence Society (FAIS).

509
Sam Sandqvist. GA and database queries. In Alander [23].

510
Sam Sandqvist. On finding optimal potential customers from a large marketing database - A genetic algorithm approach. Licenciate thesis, Helsinki University of Technology, Department of Computer Science, 1993.

511
Sam Sandqvist. On finding optimal potential customers from a large marketing database - A genetic algorithm approach. In Albrecht et al. [85], pages 528-535.

512
Sam Sandqvist. A temporal logic model of the genetic algorithm. In Alander [27], pages 139-150.

(ftp.uwasa.fics/report94-2Sandqvist.ps.Z) 268, 269

513
Sam Sandqvist. Modelling the time behaviour of genetic algorithms. In Alander [74], pages 205-214. (ftp.uwasa.fics/1NWGASandqvist.ps.Z) 268

514
Sam Sandqvist. Temporal populations. In Takeshi Furuhashi, editor, Proc. 2nd Online Workshop on Evolutionary Computation. Nagoya University, Japan, 1996. 268

515
Sam Sandqvist. A temporal view of selection and populations. In Terence Fogarty, editor, Proc. AISB96. University of Sussex, Brighton, 1996. To be published by Springer-Verlag 1996. 268

516
J. David Schaffer. Multiple objective optimization with vector evaluated genetic algorithms. In Grefenstette [222], pages 93-100.

64

517
J. David Schaffer, editor. Proceedings of the Third International Conference on Genetic Algorithms, Georg Mason University, 4.-7. June 1989. Morgan Kaufmann Publishers, Inc.

518
Steffen Schulze-Kremer. Genetic algorithms for protein tertiarystructure prediction. In Männer and Manderick [398], pages 391-400.

116

519
Hans-Paul Schwefel and R. Männer, editors. Parallel Problem Solving from Nature, volume 496 of Lecture Notes in Computer Science, Dortmund (Germany), 1.-3. October 1991. Springer-Verlag, Berlin. (Proceedings of the 1st Workshop on Parallel Problem Solving from Nature (PPSN1))

520
Segawa M., Ohno, Y., Doh, M., Inoue. M., Ishida, T., Iwashita, T. Comparative conformational analyses of tex2html_wrap_inline40106 -selective dermorphin and tex2html_wrap_inline39827 -selective deltorphin-II in aqueous solution by tex2html_wrap_inline45667 H-NMR spectroscopy. Int. J. Peptide Protein Res., 44:295-304, 1994. 118

521
T. J. Sejnowski and C. R. Rosenberg. Nettalk: a parallel network that learns to read aloud. Technical Report JHU/EECS-86/01, The Johns Hopkins University, Electricial Engineering and Computer Science, 1986. 173

522
Jouko Seppänen. Elämäkäsitys monitieteisenä kysymyksenä [Life as crossdisciplinary concept]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 10-41, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

523
Gerald B. Sheble and Timothy T. Maifeld. Unitcommitment by genetic algorithm and expertsystem. Electric Power System Research, 30(2):115-121, July-August 1994. (EI M022292/95 EEA 99420/94) 248

524
Takanori Shibata and Toshio Fukuda. Intelligent motion planning by genetic algorithm with fuzzy critic. In Proceedings IEEE International Symposium on Intelligent Control, pages 565-570, Chicago, IL, 25.-27. August 1993. IEEE, New York.

241

525
M.-L. Siikonen. Computer modelling of elevator traffic and control. Licentiate thesis, Helsinki University of Technology, 1989. (in Finnish). 211

526
Jakob Skipper. The computer zoo - evolution in a box. In Varela and Bourgine [572], pages 355-364.

527
Derek Smith. Binpacking with adaptive search. In Grefenstette [222], pages 202-207.

90

528
Richard A. Smith. The use of genetic algorithms in shape design optimization. Internal Report 19, University of Edinburgh, Manufacturing Planning Group, 1994. ([]) 199

529
Robert Elliot Smith, editor. Proceedings of the Sixth International Conference on Genetic Algorithms, Pittsburgh, PA, 15.-19. July 1995.

530
Robert Elliot Smith, David E. Goldberg, and J. A. Erickson. SGA-C a C language implementation of simple genetic algorithm. TCGA Report 91002, University of Alabama, 1991.

166

531
M. Sounders. The countercurrent separation process. Chem. Eng. Prog., 60(2):75-82, 1964. 222

532
William M. Spears. Crossover or mutation In Whitley [589], pages 221-238.

124

533
William M. Spears and Kenneth A. De Jong. An analysis of multi-point crossover. In Rawlins [480], pages 301-315. (also AIC Report No. AIC-90-014) 117

534
M. Srinivas and Lalit M. Patnaik. Genetic algorithms: A survey. Computer, 27(6):17-27, June 1994.

239

535
N. Srinivas and K. Deb. Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation, 2(3):221-248, 1995. ([]) 64

536
H.-H. Sthamer, B. F. Jones, and D. E. Eyres. Generating test data for ADA generic procedures using genetic algorithms. In , editor, Proceedings of ACEDC 1994, pages 134-140, Plymouth, UK, September 1994. University of Plymouth, UK. ([][583]) 206

537
Thomas Stidsen, Lars V. Kragelund, and Oana Mateescu. Jobshopscheduling in a shipyard. In [4],

538
B. Strulo, D. Gabbay, and P.H. Harrison. Temporal logic in a stochastic environment. In Time and Logic: A Computational Approach, chapter 5. University College Press, 1995. 269

539
Jung Y. Suh and Dirk Van Gucht. Incorporating heuristic information into genetic search. In Grefenstette [224], pages 100-107.

5, 7

540
Shaojian Sun. Reduced representation model of protein structure prediction: Statistical potential and genetic algorithms. Protein Science, 2(5):762-785, May 1993.

130

541
Claus Svarer, LArs Kai Hansen, and Jan Larsen. On design and evaluation of tapped-delay neural network architectures. In IEEE International Conference on Neural Networks, pages 46-51, San Francisco, 1993. 83, 85, 85, 85

542
Gilbert Syswerda. Uniform crossover in genetic algorithms. In Schaffer [517], pages 2-9.

16

543
Szu, H., Hartley, R. Fast simulated annealing. Physics letters A, 122(3,4):157, 1987. 119

544
Tapio Takala. Keinoelämää virtuaalitodellisuudessa - hyttysiä ja muita ötököitä [Artificial life in virtual reality - gnats and other little creatures]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 260-264, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

545
Tapio Takala, James Hahn, Larry Gritz, Joe Geigel, and Jong Won Lee. Using physically-based models and genetic algorithms for functional composition of sound signals, synchronized to animated motion. In Proceedings of the 1993 International Computer Music Conference (ICMC93), pages 180-183, Waseda University (Japan), 10.-15. September 1993. International Computer Music Association and Waseda University.

546
David M. Tate and Alice E. Smith. Expected allele coverage and the role of mutation in genetic algorithms. In Forrest [192], pages 31-37.

129

547
Taylor and Olmstead. Poppet-valve dynamics. J. Inst. Aeron. Sci., 6, July 1939. An early work done at MIT on the measurement, causes and cure of false motion at valve train. 198

548
Charles Fayette Taylor. The Internal-Combustion Engine in Theory and Practice, volume II: Combustion, Fuels, Materials, Design. The M.I.T. Press, Cambridge (Massachusetts), 1968. 198

549
A. Thompson. Evolving faulttolerantsystems. In [2], pages 524-529. (conf.prog) 70

550
R. W. Thomson and C. J. King. Systematic synthesis of separation scheme. AIChE J., 18(5):941-948, 1972. 221

551
Stephen M. Timberger. Field-Programmable Gate Array Technology. Kluwer, Boston, MA, 1994. 72

552
V. G. Timkovsky. Complexity of common subsequence and supersequence problems and related problems. Cybernetics, 25:565-580, 1990. 106

553
Jari Toivanen, Raino A.E. Mäkinen, and Risto Lahdelma. The reconstruction of an airfoil in 2D potential flow using a genetic algorithm on a parallel computer. In Alander [74], pages 229-240. (ftp.uwasa.fics/1NWGAToivanen.ps.Z) 199

554
H. Tong and K. Lim. Threshold autoregression, limit cycles and cyclical data. Journ. Roy. Stat. Soc. B, 42:245-292, 1980. 83, 83, 83, 85

555
Howell Tong. Non-Linear Time Series: A Dynamical System Approach. Oxford statistical science series; 6. Oxford University Press, 1995. 176, 177

556
Törn, A., Zilinskas, A. Global Optimization. Lecture Notes in Computer Science. Springer-Verlag, Berlin, 1988. 116

557
Staffan Truve. Using a genetic algorithm to solve constraint satisfaction problems generated by an image interpreter. In P. Johansen and S. Olsen, editors, Theory and Application of Image Analysis. Selected Papers from the 7th Scandinavian Conference, pages 133-147, Aalborg (Denmark), 13.-16. August 1991. World Scientific, Singapore. (EEA 80040/92)

558
Staffan Truve. Symbolic image interpretation by parsing, interpreting and pruning. Technical Report , Chalmers Tekniska Högskola, 1992. (Nordin)

559
Tukey, J.W. Exploratory data analysis. Addison-Weshley Publishing Company, London, 1977. 120, 120

560
Gökce Fuat Üler. Genetic algorithms in the design optimization of electromagnetic devices. PhD thesis, Florida International University, 1995. (DAI Vol 56 No 2) 199

561
Jari Vaario. Artificiallife primer. Technical Report TR-H-033, Advanced Telecommunications Research Institute International, ATR Human information Processing Research Laboratories, 1993.

562
Jari Vaario. The role of environment in evolutionary computation. In , editor, Proceedings of the 1993 Australian Joint Conference on ArtificialIntelligence, Workshop: EvolutionaryComputation and its Applications, , 1993. (Vaario)

563
Jari Vaario. Artificiallife as constructivist AI. Journal of the Society of Instrument and Control Engineers, 33(1):65-71, January 1994. (Vaario)

564
Jari Vaario. From evolutionary computation to computational evolution. Informatica, :, 1994. (Vaario)

565
Jari Vaario. From evolutionary computation to computational evolution. Informatica, 18(4):417-434, 1995. (toc)

566
Jari Vaario. Tekoelo - synteettinen lähestymistapa elämän ymmärtämiseen [Artificial life - a synthetic way of understanding life]. In Eero Hyvönen and Jouko Seppänen, editors, Keinoelämä - Artificial Life, pages 70-85, Helsinki (Finland), 12. May 1995. Finnish Artificial Intelligence Society (FAIS), Espoo. (in Finnish)

567
Jari Vaario, Koichi Hori, and Setsuo Ohsuga. Toward evolutionary design of autonomous systems. The International Journal in Computer Simulation, :, 1994. (to appear)(Vaario)

568
Mika Vainio, T. Schönberg, and Aarne Halme. Evolving of a fitness based operation strategy for a robot society. In , editor, Proceedings of the 2nd IFAC Conference on Intelligent Autonomous Vehicles, Espoo (Finland), 12.-14. June 1995. IFAC. (conf. prog.)

569
Mika Vainio, T. Schönberg, Aarne Halme, and P. Jakubik. Optimizing the performance of a robotsociety in structured environment through genetic algorithms. In , editor, Advances in ArtificialLife, Third European Conference on ArtificialLife, pages 733-746, Granada (Spain), 4.-6. June 1995. Springer-Verlag, Berlin. (CCA 80824/95)

570
Jukka Vanhala and Kimmo Kaski. Proteinfolding simulation by GAs. In Alander [23].

571
Jukka Vanhala and Kimmo Kaski. Proteinfolding simulation by genetic algorithms. In Risto Nieminen and Olle Teleman, editors, 7th Nordic Symposium on Computer Simulation, page 10, Espoo, Finland, 3.-5. September 1993.

572
Francisco J. Varela and Paul Bourgine, editors. Toward a Practice of AutonomousSystem: Proceedings of the First European Conference on ArtificialLife, Paris, 11.-13. December 1991. MIT Press, Cambridge, MA.

573
Risto Varteva. Sekasorrosta syntyy uutta [Chaos creates new]. Helsingin Sanomat, :D1, 28. August 1993. (in Finnish)

574
Risto Varteva. Tekniset tuotteet taistelevat elintilasta niin kuin eläimet ja kasvit luonnossa [Technical products struggle for space as do animals and plants in nature]. Helsingin Sanomat, :D2, 13. February 1993. (in Finnish; review of [182])

575
Marja-Leena Vepsäläinen and William Latham. Tietokonetaide on monien ilmiöiden leikkauspiste [computer art]. IBM asiaa, (1):1,20-21, February 1995. (in Finnish)

576
Jarkko Vuori. Identification of nonlinear systems with evolutionary computation. In Alander [27], pages 97-103. (ftp.uwasa.fics/report94-2Vuori.ps.Z)

577
Jarkko Vuori. Genetic algorithm for codebook design in spreadspectrum correlator receiver. In Osmera [450], pages 165-168.

578
Jarkko Vuori and Vesa Välimäki. A parameter estimation of non-linear physical models by simulated evolution -- application to the flute model. In Proceedings of the 1993 International Computer Music Conference (ICMC93), Waseda University (Japan), 10.-15. September 1993. International Computer Music Association and Waseda University. (Vuori)

579
P. Wang and D. P. Kwok. Auto-tuning of classical PIDcontrollers using an advanced genetic algorithm. In Proceedings of the 1992 International Conference on Industrial Electronics, Control, and Instrumentation, volume 3, pages 1224-1229, San Diego, 9.-13. November 1992. IEEE Press.

288

580
P. Wang and D. P. Kwok. Optimal fuzzy PIDcontrol based on genetic algorithms. In Proceedings of the 1992 International Conference on Industrial Electronics, Control, and Instrumentation, volume 2, pages 977-981, San Diego, 9.-13. November 1992. IEEE Press.

288

581
X.-D. Wang and T. Chen. Performance and area optimization of VLSI system using genetic algorithms. VLSI Design, 3(1):43-51, 1995. ([]) 239

582
Hirokazu Watabe and Norio Okino. A study on genetic shape design. In Forrest [192], pages 445-450.

199

583
Alison Lachut Watkins. The automatic-generation of test data using genetic algorithms. In I. M. Marshall, W. B. Samson, and D. G. Edgar-Nevill, editors, Proceedings of the 4th Software Quality Conference, volume 2, pages 300-309, Dundee (UK), 4.-5. July 1995. University of Abertay Dundee, Scotland.

206

584
A. Weigend, D. Rummelhart, and B. Huberman. Predicting the future: A connectionist approach. Int. Jour. of Neural Systems, pages 193-209, 1990. 82, 83, 85

585
A. S. Weigend, B. A. Huberman, and D. E. Rumelhart. Predicting the future: A connectionist approach. International Journal of Neural Systems, 1:193-209, 1990. 176, 177, 177, 177

586
A.S. Weigend, D.E. Rumelhart, and B.A. Huberman. Generalization by weight elimination with application to fore casting. In D. Touretzky, editor, Advances in Neural Information Processing Systems, Vol. 3, volume 3, pages 875-882. Morgan Kaufmann, 1991. 165

587
Tony White and Franz Oppacher. Adaptive crossover using automata. In Davidor et al. [147], pages 229-238. (CCA 36490/95) 16

588
Darrell Whitley. Fundamental principles of deception in genetic search. In Rawlins [480], pages 221-241.

117

589
Darrell Whitley, editor. Foundations of Genetic Algorithms -- 2 (FOGA-92), Vail, CO, 24.-29. July 1992 1993. Morgan Kaufmann: San Mateo, CA.

590
Darrell Whitley, Timothy John Starkweather, and D'Ann Fuquay. Scheduling problems and travelingsalesmen: The genetic edge recombination operator. In Schaffer [517], pages 133-140.

7, 8, 8, 9

591
P. Whittle. Risk-Sensitive Optimal Control. Wiley, New York, 1990. 257

592
P. A. I. Wijkman. The purpose of sex. In Proceedings of the 1994 Second Australian and NewZealand Conference on Intelligent InformationSystems, pages 273-277, Brisbane, QLD, 29. November- 2. December 1994. IEEE, New York. (CCA 45480/95)

593
P. A. I. Wijkman. Evolutionary processing. In , editor, Intelligent Systems. Proceedings of the Third Golden West International Conference, volume 1, pages 393-403, Las Vegas, NV, 6.-8. June 1994 1995. Kluwer Academic Publishers, Dordrecht. (CCA 77706/95)

594
G. Winter, J. Périaux, M. Galán, and P. Cuesta, editors. Genetic Algorithms in Engineering and Computer Science (EUROGEN95), Las Palmas (Spain), December 1995. John Wiley & Sons, New York.

595
David H. Wolpert and William G. Macready. No free lunch theorems for search. Technical Report SFI-TR-95-02-010, The Santa Fe Institute, 1995.

42

596
G. M. Woodruff and R. Kositpaiboon. Multimedia traffic management principles for guaranteed ATM network performance. IEEE Journal on Selected Areas in Communications, 8(3):437-446, 1990. 254

597
J. C. Wu and T. S. Liu. Fuzzy control of rider-motorcycle system using genetic algorithm and auto-tuning. Mechatronics, 5(4):441-455, June 1995.

288

598
Wüntrich, K. NMR of proteins and nucleid acids. Wiley, New York, 1986. 116

599
S. Xanthakis, C. Ellis, C. Skourlas, A. Le Gall, S. Katsikas, and K. Karapoulios. Application of genetic algorithms to software testing (application des algorithmes génétiques au test des logiciels). In Proceedings of the 5th International Conference on SoftwareEngineering, pages 625-636, Toulouse, France, 7.-11. December 1992. (translated from French by Charlie Ellis) 206

600
Xin Yao. Evolutionary artificial neural networks. International Journal of Neural Systems, 4(3):203-222, 1993. 164

601
Xin Yao. A review of evolutionay artificial neural networks. International Journal of Intelligent Systems, 8:539-567, 1993. 174

602
Percy P. C. Yip and Yoh-Han Pao. A guided evolutionary simulated annealing approach to the quadraticassignmentproblem. IEEE Transactions on Systems, Man, and Cybernetics, 24(9):1383-1387, September 1994.

98

603
Petri Yllö. Satunnaistajan etsintä [Geneticprogramming randomnumbergenerator by Koza]. In Alander [84], chapter 13, pages 145-152. (in Finnish)

604
Andreas Zell, Guenter Mamier, Michael Vogt, Niels Mach, Ralf Huebner, Kai-Uwe Herrmann, Tobias Soyez, Michael Schmalzl, Tilman Sommer, Artemis Hatzigeogiou, Sven Doering, and Dietmar Posselt. SNNS Stuttgart Neural Network Simulator, User Manual. University of Stuttgart, 1994. 166

605
D. Zongker and B. Punch. lil-gp 1.00 User's manual, 1995. URL http://isl.cps.msu.edu/GA/software/lil-gp. 80, 215, 216
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tex2html_wrap_inline42979 123 = this contribution was cited on page 123. [2em]

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Tommi Rintala
Thu Jul 4 10:59:43 EET DST 1996