Evolutionary computation

Control and Cybernetics

Volumn 26, Issue 3, 1997, Pages

  Schoenauer, Marc ^a   Michalewicz, Zbigniew ^b,c  

^a CENTRE DE MATHÉMATIQUES APPLIQUÉES   (France)

^b University of North Carolina at Charlotte   (United States)

^c INSTITUTE OF COMPUTER SCIENCE   (Poland)

Author keywords

Evolutionary computation; Parallelism; Self adaptation

Indexed keywords

EID: 17544385455     PISSN: 03248569     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (141)

1. AHUACTZIN, M., TALBI, E., BESSIERE, P. and MAZER, E. (1992) Using genetic algorithms for robot motion planning. In: Proceedings of European Conference on Artificial Intelligence.
2. ALANDER, J.T. (1994) An Indexed Bibliography of Genetic Algorithms: Years 1957-1998. Department of Information Technology and Production Economics, University of Vaasa, Finland, Report Series 94-1.
3. ALLIOT, J.-M., LUTTON, E., RONALD, E. and SCHOENAUER, M., eds. (1994) Actes de la Conférence Evolution Artificielle. Toulouse, Cepadues.
4. ALLIOT, J.-M., LUTTON, E., RONALD, E., SCHOENAUER, M. and SNYERS, D., eds. (1995) Artificial Evolution. Brest, Springer Verlag.
5. ANGELINE, P.J. (1995) Adaptive and Self-Adaptive Evolutionary Computation. In: Palaniswami, M., Attikiouzel, Y., Marks, R.J.II, Fogel, D., and Fukuda, T., eds., Computational Intelligence, A Dynamic System Perspective, IEEE Press, 152-161.
6. ANGELINE, P.J. and KINNEAR, JR K.E., eds. (1996) Advances in Genetic Programming II, Cambridge, MA. MIT Press.
7. ANGELINE, P.J., SAUNDERS, G.M. and POLLACK, J.B. (1993) An evolutionary algorithm that constructs recurrent neural networks. IEEE Transactions on Neural Networks, 5, 2, 86-91.
8. ANTONISSE, J. (1989) A new interpretation of schema notation that overturns the binary encoding constraint. In: Schaffer, J.D., ed. (1989) Proceedings of the Third International Conference on Genetic Algorithms, 86-91.
9. ARABAS, J., MICHALEWICZ, Z. and MULAWKA, J. (1994) GAVaPS - a Genetic Algorithm with Varying Population Size. In: Proceedings of the First IEEE International Conference on Evolutionary Computation, Orlando, 26 June - 2 July, 1994, 73-78.
10. BÄCK, T. (1992) Self-adaption in genetic algorithms. In: Proceedings of the First European Conference on Artificial Life, Cambridge, MIT Press, 263-271.
11. th International Conference on Genetic Algorithms, 2-8. Morgan Kaufmann.
12. BÄCK, T. (1995B) Evolutionary Algorithms in theory and practice. New-York: Oxford University Press.
13. BÄCK, T., ed. (1997) Proceedings of the Seventh International Conference on Genetic Algorithms. Morgan Kaufmann, San Mateo, CA.
14. BÄCK, T., FOGEL, D. and MICHALEWICZ, Z. (1997) Handbook of Evolutionary Computation. Oxford University Press, New York.
15. BÄCK, T., RUDOLPH, G. and SCHWEFEL, H.-P. (1993) Evolutionary programming and evolution strategies: Similarities and differences. In: Fogel D.B. and Atmar W., eds. Proceedings of the Second Annual Conference on Evolutionary Programming, La Jolla, 1993, Evolutionary Programming Society, 11-22.
16. BÄCK, T. and SCHÜTZ, M. (1995) Evolution strategies for mixed-integer optimization of optical multilayer systems. In: McDonnell, J.R., Reynolds, R.G. and Fogel, D.B., eds. Proceedings of the Fourth Annual Conference on Evolutionary Programming. The MIT Press, 1995.
17. BÄCK, T., HEISTERMANN, J., KAPPLER, C. and GZAMPARELLI, M. (1996) Evolutionary Algorithms Support Refueling of Pressurized Water Reactors. In: Proceedings of the Third IEEE International Conference on Evolutionary Computation, Nagoya, 18-22 May, 1996, 104-108.
18. BÄCK, T. and SCHWEFEL, H.-P. (1993) An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 1, 1, 1-23.
19. BEAN, J.C. and HADJ-ALOUANE, A.B. (1992) A dual genetic algorithm for bounded integer programs. Tr 92-53, Department of Industrial and Operations Engineering, The University of Michigan.
20. BEASLEY, D., BULL, D.R. and MARTIN, R.R. (1993A) An overview of genetic algorithms: Part 1, Foundations. University Computing, 15, 2, 58-69.
21. BEASLEY, D., BULL, D.R. and MARTIN, R.R. (1993B) An overview of genetic algorithms: Part 2, Research Topics. University Computing, 15, 4, 170-181.
22. BELEW, R. and BOOKER, L., eds. (1991) Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann Publishers, Los Altos, CA.
23. BEYER, H.-G. (1993) Toward a theory of evolution strategies: Some asymptotical results for the (1, +λ)-theory. Evolutionary Computation, 1, 2, 165-188.
24. BEYER, H.-G. (1994) Toward a theory of evolution strategies: The (μ, λ)-theory. Evolutionary Computation, 2, 4, 381-407.
25. BEYER, H.-G. (1995A) Toward a theory of evolution strategies: On the benefit of sex - the (μ/μ, λ)-theory. Evolutionary Computation, 3, 1, 81-111.
26. BEYER, H.-G. (1995B) Toward a theory of evolution strategies: Self-adaptation. Evolutionary Computation, 3, 3, 311-347.
27. CANTÚ-PAZ, E. (1995) A summary of research on parallel genetic algorithms. IlliGAL Report No. 95007, University of Illinois at Urbana-Champaign, July.
28. CERF, R. (1996) An asymptotic theory of genetic algorithms. In: Alliot, J.-M., Lutton, E., Ronald, E., Schoenauer, M. and Snyers, D., eds., Artificial Evolution, 1063 of LNCS. Springer Verlag.
29. CHAKRABORTY, U., DEB, K. and CHAKRABORTY, M. (1996) Analysis of selection algorithms: A Markov chain approach. Evolutionary Computation, 4, 2, 133-168.
30. DAVIDOR, Y., SCHWEFEL, H.-P. and MäNNER, R., eds. (1994) Proceedings of the Third International Conference on Parallel Problem Solving from Nature (PPSN), Springer-Verlag, New York.
31. DAVIS, L., ed. (1987) Genetic Algorithms and Simulated Annealing, Morgan Kaufmann Publishers, Los Altos, CA.
32. DAVIS, L. (1991) Handbook of Genetic Algorithms. Van Nostram Reinhold, New York.
33. DAVIS, L. (1989) Adapting Operator Probabilities in Genetic Algorithms. In: Schaffer, J.D., ed. (1989) Proceedings of the Third International Conference on Genetic Algorithms, 61-69.
34. DAVIS, L. and STEENSTRUP, M. (1987) Genetic Algorithms and Simulated Annealing: An Overview. In: Davis, L., ed. (1987) Genetic Algorithms and Simulated Annealing, Morgan Kaufmann Publishers, Los Altos, CA, 1-11.
35. th International Conference on Genetic Algorithms, 174-181. Morgan Kaufmann.
36. DAVIS, L. and PRINCIPE, J.C. (1993) A Markov chain framework for the simple genetic algorithm. Evolutionary Computation, 1, 3, 269-292.
37. DE JONG, K.A., ed. (1993) Evolutionary Computation, MIT Press.
38. DE JONG, K.A. (1996) Parallel and distributed evolutionary algorithms. Presented at the workshop Evolutionary Algorithms, organized by Institute for Mathematics and Its Applications, University of Minnesota, Minneapolis, Minnesota, October 21-25, 1996.
39. DE JONG, K.A. (1993) Are genetic algorithms function optimizers? In: Männer, R. and Manderick, B., eds. (1992) Proceedings of the Second International Conference on Parallel Problem Solving from Nature (PPSN). North-Holland, Elsevier Science Publishers, Amsterdam, 3-13.
40. DE JONG, K.A. (1997) Evolutionary computation: recent developments and open issues. This special issue.
41. DE JONG, K.A. and SARMA, J. (1995) On decentralizing selection algorithms. In: Eshelman, L.J., ed. (1995) Proceedings of the Sixth International Conference on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA, 17-23.
42. DESQUILBET, C. (1992) Détermination de trajets optimaux par algorithmes génétiques. Rapport de stage d'option B2 de l'Ecole Polytechnique. Palaiscau.
43. DESQUILBET, C. and SASSUS, P. (1992) Reconnaissance de détails en niveaux de gris par algorithmes génétiques. Rapport de travail personnel. Majeure SICS de l'Ecole Polytechnique. Palaiseau.
44. st Parallel Problem Solving from Nature, 4-12. Springer Verlag.
45. EIBEN, A.E., RAUE, P.-E. and RUTTKAY, ZS. (1994) Genetic algorithms with multi-parent recombination. In: Davidor, Y., Schwefel, H.-P. and Männer, R., eds. Proceedings of the Third International Conference on Parallel Problem Solving from Nature (PPSN), Springer-Verlag, New York, 78-87.
46. EIBEN, A.E. and VAN KEREMADE, C.H.M. (1997) Diagonal Crossover in Genetic Algorithms for Numerical Optimization, Control and Cybernetics, this volume.
47. ESHELMAN, L.J., ed. (1995) Proceedings of the Sixth International Conference on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA.
48. ESHELMAN, L.J., CARUANA, R.A. and SCHAFFER, J.D. (1989) Biases in the crossover landscape. In: Schaffer, J.D., ed., Proceedings of the Third International Conference on Genetic Algorithms, 10-19.
49. th Annual Conference on Evolutionary Programming, 219-235. MIT Press, March.
50. FOGEL, D.B. (1992) An analysis of evolutionary programming. In: Fogel, D.B. and Atmar, W., Proceedings of the First Annual Conference on Evolutionary Programming, La Jolla, CA, Evolutionary Programming Society, 43-51.
51. FOGEL, D.B. (1994) An introduction to simulated evolutionary optimization. IEEE Transactions on Neural Networks, special issue on Evolutionary Computation, 5, 1.
52. FOGEL, D.B. (1995) Evolutionary Computation. Toward a New Philosophy of Machine Intelligence. IEEE Press, Piscataway, NJ.
53. FOGEL, D.B., ed. (1994) IEEE Transactions on Neural Networks, special issue on Evolutionary Computation, 5, 1.
54. FOGEL, D.B., FOGEL, L.J., ATMAR, W. and FOGEL, G.B. (1992) Hierarchic methods of evolutionary programming. In: Fogel, D.B. and Atmar, W., Proceedings of the First Annual Conference on Evolutionary Programming, La Jolla, CA, Evolutionary Programming Society, 175-182.
55. FOGEL, D.B. and STAYTON, L.C. (1994) On the effectiveness of crossover in simulated evolutionary optimization. BioSystems, 32, 171-182.
56. FOGEL, D.B. and ATMAR, W. (1992) Proceedings of the First Annual Conference on Evolutionary Programming, La Jolla, CA, Evolutionary Programming Society.
57. FOGEL D.B. and ATMAR W., EDS. (1993) Proceedings of the Second Annual Conference on Evolutionary Programming, La Jolla, CA, Evolutionary Programming Society.
58. FOGEL, L.J., ANGELINE, P., BÄCK, T., eds. (1996) Proceedings of the Fifth Annual Conference on Evolutionary Programming, The MIT Press.
59. FOGEL, L.J., ANGELINE, P.J. and FOGEL, D.B. (1995) An evolutionary programming approach to self-adaption on finite state machines. In: McDonnell, J.R., Reynolds, R.G. and Fogel, D.B., eds., Proceedings of the Fourth Annual Conference on Evolutionary Programming. The MIT Press, 355-305.
60. FOGEL, L.J., OWENS, A.J. and WALSH, M.J. (1966) Artificial Intelligence through Simulated Evolution. New York: John Wiley.
61. FORREST, S., ED. (1993) Proceedings of the Fifth International Conference on Genetic Algorithms. Morgan Kaufmann Publishers, Los Altos, CA.
62. GLOVER, F. (1977) Heuristics for integer programming using surrogate constraints. Decision Sciences, 8, 1, 156-166.
63. GOLDBERG, D.E. (1989) Genetic algorithms in search, optimization and machine learning. Addison Wesley.
64. GOLDBERG, D.E. and DEB, K. (1991) A comparative study of selection schemes used in genetic algorithms. In: Rawlins, G.J.E., ed., Foundations of Genetic Algorithms, 69-93. Morgan Kaufmann.
65. GOLDBERG, D.E., DEB, K. and KORB, B. (1991) Do not worry, be messy. In: Proceedings of the 4th International Conference on Genetic Algorithms. Morgan Kaufmann, 24-30.
66. GOLDBERG, D.E., MILMAN, K. and TIDD C. (1992) Genetic Algorithms: A Bibliography. IlliGAL Technical Report 92008.
67. nd International Conference on Genetic Algorithms, 41-49. Lawrence Erlbaum Associates.
68. GREFENSTETTE, J.J., ed. (1985) Proceedings of the First International Conference on Genetic Algorithms. Lawrence Erlbaum Associates, Hillsdale, NJ.
69. GREFENSTETTE, J.J. (1986) Optimization of Control Parameters for Genetic Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 16, 1, 122-128.
70. GREFENSTETTE, J.J., ed. (1987) Proceedings of the Second International Conference on Genetic Algorithms. Lawrence Erlbaum Associates, Hillsdale, NJ.
71. HEITKÖTTER, J. (1993) The Hitch-Hiker's Guide to Evolutionary Computation. FAQ in comp.ai.genetic, issue 1.10, 20 December 1993.
72. HINTERDING, R., MICHALEWICZ, Z. and EIBEN, A.E. (1996) Adaptation in Evolutionary Computation: A Survey. In: Proc. of the Fourth IEEE International Conference on Evolutionary Computation, Indianapolis, 13-16 April, 1996.
73. HOLLAND, J.H. (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor.
74. HINTERDING, R. (1996) Gaussian mutation and self-adaption in numeric genetic algorithms. In: Proceedings of the Third IEEE International Conference on Evolutionary Computation, Nagoya, 18-22 May, 384-389.
75. HINTERDING, R., MICHALEWICZ, Z. and PEACHEY, T.C. (1996) Self-adaptive genetic algorithm for numeric functions. In: Voigt, H.-M., Ebeling, W., Rechenberg, I. and Schwefel, H.-P., eds., Proceedings of the Fourth International Conference on Parallel Problem Solving from Nature (PPSN). Springer-Verlag, New York, 420-429.
76. JANIKOW, C.Z. and MICHALEWICZ, Z. (1991) An experimental comparison of binary and floating point representations in genetic algorithms. In: Belew, R. and Booker, L., eds. (1991) Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann Publishers, Los Altos, CA, 31-36.
77. JOINES, J.A. and HOUCK, C.R. (1994) On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's. In: Proceedings of the First IEEE International Conference on Evolutionary Computation, Orlando, 26 June - 2 July, 579-584.
78. JONES, T. (1995) Crossover, macromutation and population-based search. In: Eshelman, L.J., ed., Proceedings of the Sixth International Conference on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA, 73-80.
79. JULSTROM, B.A. (1995) What have you done for me lately? adapting operator probabilities in a steady-state genetic algorithm. In: Eshelman, L.J., ed., Proceedings of the Sixth International Conference on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA, 81-87.
80. KINNEAR, K.E. JR, ed. (1996) Advances in Genetic Programming, Cambridge, MA, MIT Press.
81. KOZA, J.R. (1994) Genetic Programming: On the Programming of Computers by means of Natural Evolution. MIT Press, Massachusetts.
82. MAHFOUD, S.W. and GOLDBERG, D.E. (1992) A genetic algorithm for parallel simulated annealing. In: Männer, R. and Manderick, B., eds., Proceedings of the Second International Conference on Parallel Problem Solving from Nature (PPSN). North-Holland, Elsevier Science Publishers, Amsterdam, 301-310.
83. MÄNNER, R. and MANDERICK, B., eds. (1992) Proceedings of the Second International Conference on Parallel Problem Solving from Nature (PPSN). North-Holland, Elsevier Science Publishers, Amsterdam.
84. MCDONNELL, J.R., REYNOLDS, R.G. and FOGEL, D.B., eds. (1995) Proceedings of the Fourth Annual Conference on Evolutionary Programming. The MIT Press.
85. MICHALEWICZ, Z. (1996) Genetic Algorithms+Data Structures=Evolution Programs. Springer Verlag, New-York, 3rd edition.
86. MICHALEWICZ, Z. (1993) A hierarchy of evolution programs: an experimental study. Evolutionary Computation, 1, 1, 51-76.
87. MICHALEWICZ, Z., ed. (1994) Statistics & Computing, special issue on evolutionary computation, 4, 2.
88. MICHALEWICZ, Z. (1995) Heuristic methods for evolutionary computation techniques. Journal of Heuristics, 1, 2, 177-206.
89. MICHALEWICZ, Z. and ATTIA, N. (1994) Evolutionary Optimization of Constrained Problems. In Sebald, A.V. and Fogel, L.J., Proceedings of the Third Annual Conference on Evolutionary Programming, San Diego, CA, World Scientific, 98-108.
90. MICHALEWICZ, Z., DASGUPTA, D., LE RICHE, R.G. and SCHOENAUER, M. (1996) Evolutionary algorithms for constrained engineering problems. Computers & Industrial Engineering Journal, 30, 4, 851-870.
91. MICHALEWICZ, Z. and NAZHIYATH, G. (1995) Genocop III: A Co-evolutionary Algorithm for Numerical Optimization Problems with Nonlinear Constraints. In: Proceedings of the Second IEEE International Conference on Evolutionary Computation, Perth, 29 November - 1 December, 1995, 647-651.
92. MICHALEWICZ, Z. and SCHOENAUER, M. (1996) Evolutionary Algorithms for Constrained Parameter Optimization Problems. Evolutionary Computation, 4, 1, 1-32.
93. MICHALEWICZ, Z., VIGNAUX, G.A. and HOBBS, M. (1991) A non-standard genetic algorithm for the nonlinear transportation problem. ORSA Journal on Computing, 3, 4, 307-316.
94. MICHALEWICZ, Z. and XIAO, J. (1995) Evaluation of Paths in Evolutionary Planner/Navigator. In: Proceedings of the 1995 International Workshop on Biologically Inspired Evolutionary Systems, Tokyo, Japan, May 30-31, 45-52.
95. MILLER, B.L. and GOLDBERG, D.E. (1996) Genetic algorithms, selection schemes, and the varying effects of noise. Evolutionary Computation, 4, 2, 113-132.
96. MÜHLENBEIN, H. (1989) Parallel Genetic Algorithms, Population Genetics and Combinatorial Optimization. In: Schaffer, J.D., ed., Proceedings of the Third International Conference on Genetic Algorithms, 416-421.
97. MÜHLENBEIN, H. and SCHLIERKAMP-VOSEN, D. (1993) Predictive models for the breeder genetic algorithm. Evolutionary Computation, 1, 1, 25-49.
98. NISSEN, V. (1993) Evolutionary Algorithms in Management Science: An Overview and List of References. European Study Group for Evolutionary Economics.
99. NIX, A.E. and VOSE, M.D. (1992) Modeling genetic algorithms with Markov chains. Annals of Mathematics and Artificial Intelligence, 5, 1, 79-88.
100. NORDIN, P. and BANZHAF, W. (1997) Real time control of a khepera robot using genetic programming. Control and Cybernetics, this volume.
101. O'REILLY, U.-M. (1995) An Analysis of Genetic Programming. PhD thesis, Carleton University, Ottawa, Ontario, Canada.
102. ORVOSH, D. and DAVIS, L. (1995) Shall We Repair? Genetic Algorithms, Combinatorial Optimization, and Feasibility Constraints. In: Forrest, S., ed. (1993) Proceedings of the Fifth International Conference on Genetic Algorithms. Morgan Kaufmann Publishers, Los Altos, CA, 650.
103. PALMER, C.C. and KERSHENBAUM, A. (1994) Representing Trees in Genetic Algorithms. In: Proceedings of the First IEEE International Conference on Evolutionary Computation, Orlando, 26 June - 2 July, 379-384.
104. PAREDIS, J. (1993) Genetic State-Space Search for Constrained Optimization Problems. Proceedings of the Thirteen International Joint Conference on Artificial Intelligence, Morgan Kaufmann, San Mateo, CA.
105. PAREDIS, J. (1994) Co-evolutionary Constraint Satisfaction. In: Davidor, Y., Schwefel, H.-P. and Manner, R., eds. (1994) Proceedings of the Third International Conference on Parallel Problem Solving from Nature (PPSN), Springer-Verlag, New York, 46-55.
106. PETTY, C.B., LEUZE, M.R. and GREFENSTETTE, J.J. (1995) A parallel genetic algorithm. In: Grefenstette, J.J., ed., Proceedings of the Second International Conference on Genetic Algorithms. Lawrence Erlbaum Associates, Hillsdale, NJ, 155-161.
107. POWELL, D. and SKOLNICK, M.M. (1995) Using Genetic Algorithms in Engineering Design Optimization with Non-linear Constraints. In: Forrest, S., ed., Proceedings of the Fifth International Conference on Genetic Algorithms. Morgan Kaufmann Publishers, Los Altos, CA, 424-430.
108. POTTER, M. and DE JONG, K.A. (1994) A Cooperative Revolutionary Approach to Function Optimization. In: Davidor, Y., Schwefel, H.-P. and Männer, R., eds., Proceedings of the Third International Conference on Parallel Problem Solving from Nature (PPSN), Springer-Verlag, New York, 249-257.
109. PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (1994) Orlando, 26 June - 2 July.
110. PROCEEDINGS OF THE SECOND IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (1995) Perth, 29 November - 1 December.
111. PROCEEDINGS OF THE THIRD IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (1996) Nagoya, 18-22 May.
112. PROCEEDINGS OF THE FORTH IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (1997) Indianapolis, 13-16 April.
113. RADCLIFFE, N.J. (1991) Equivalence class analysis of genetic algorithms. Complex Systems, 5, 183-20.
114. RECHENBERG, I. (1973) Evolutionstrategie: Optimierung Technisher Systeme nach Prinzipien des Biologischen Evolution. Fromman-Holzboog Verlag, Stuttgart.
115. REEVES, C.R. (1993) Modem Heuristic Techniques for Combinatorial Problems, Blackwell Scientific Publications, London.
116. th International Conference on Genetic Algorithms, 167-173. Morgan Kaufmann.
117. RUDOLPH, G. (1994A) Convergence analysis of canonical genetic algorithm. IEEE Transactions on Neural Networks, 5, 1, 96-101.
118. RUDOLPH, G. (1994B) Convergence of non-elitist strategies. In: Michalewicz, Z., Schaffer, J.D., Schwefel, H.-P., Fogel, D.B. and Kitano, H., eds., Proceedings of the First IEEE International Conference on Evolutionary Computation, 63-66. IEEE Press.
119. RUDOLPH, G. (1997) Convergence rates of evolutionary algorithms for a class of convex objective functions. Control and Cybernetics, this volume.
120. SARAVANAN, N. and FOGEL, D.B. (1993) A Bibliography of Evolutionary Computation & Applications. Department of Mechanical Engineering, Florida Atlantic University, Technical Report No. FAU-ME-93-100.
121. SCHAFFER, J.D., ed. (1989) Proceedings of the Third International Conference on Genetic Algorithms. Morgan Kaufmann Publishers, Los Altos, CA.
122. SCHAFFER, J.D. and MORISHIMA, A. (1987) An adaptive crossover distribution mechanism for genetic algorithms. In: Proceedings of the 2nd International Conference on Genetic Algorithms. Lawrence Erlbaum Associates, 36-40.
123. SCHOENAUER, M. (1994) Iterated genetic algorithms. Technical Report 304, Centre de Mathématiques Appliquées de l'Ecole Polytechnique, October.
124. SCHOENAUER, M., SEBAG, M., JOUVE, F., LAMY, B. and MAITOURNAM, H. (1996) 23: Evolutionary identification of macro-mechanical models. In: Angeline, P.J. and Kinnear, K.E. Jr, ed., Advances in Genetic Programming II, 467-488, Cambridge, MA, MIT Press.
125. th International Conference on Genetic Algorithms, 573-580. Morgan Kaufmann.
126. SCHRAUDOLPH, N. and BELEW, R. (1992) Dynamic parameter encoding for genetic algorithms. Machine Learning, 9, 1, 9-21.
127. SCHWEFEL, H.-P. (1977) Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie, 26 of Interdisciplinary systems research. Birkhäuser, Basel.
128. nd edition.
129. SCHWEFEL, H.-P. and MÄNNER, R., ed. (1991) Proceedings of the First International Conference on Parallel Problem Solving from Nature (PPSN). Springer-Verlag, Lecture Notes in Computer Science, 496.
130. SEBALD, A.V. and FOGEL, L.J. (1994) Proceedings of the Third Annual Conference on Evolutionary Programming, San Diego, CA, World Scientific.
131. SHAEFER, C.G. (1987) The argot strategy: Adaptive representation genetic optimizer technique. In: Proceedings of the 2nd International Conference on Genetic Algorithms. Lawrence Erlbaum Associates, 50-55.
132. SPEARS, W.M. (1995) Adapting crossover in evolutionary algorithms. In: McDonnell, J.R., Reynolds, R.G. and Fogel, D.B., ed., Proceedings of the Fourth Annual Conference on Evolutionary Programming. The MIT Press, 367-384.
133. SRINIVAS, M. and PATNAIK, L.M. (1994) Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 24, 4, 17-26.
134. SYSWERDA, G. (1991) A study of reproduction in generational and steady state genetic algorithm. In: Rawlins, G.J.E., ed., Foundations of Genetic Algorithms, 94-101. Morgan Kaufmann.
135. nd Conference on Parallel Problems Solving from Nature, 573-582.
136. VENTURINI, G., ROCHET, S. and SLIMANE, M. (1997) Schemata and deception in binary genetic algorithms: a tutorial. Control and Cybernetics, this volume.
137. VIGNAUX, G.A. and MICHALEWICZ, Z. (1991) A Genetic Algorithm for the Linear Transportation Problem. IEEE Transactions on Systems, Man, and Cybernetics, 21, 2, 445-452.
138. VOIGT, H.-M., EBELING, W., RECHENBERG, I. and SCHWEFEL, H.-P., eds. (1996) Proceedings of the Fourth International Conference on Parallel Problem Solving from Nature (PPSN). Springer-Verlag, New York.
139. WHITLEY, D. (1994) Genetic Algorithms: A Tutorial. In: Michalewicz, Z., ed., Statistics & Computing, special issue on evolutionary computation, 4, 2, 65-85.
140. rd International Conference on Genetic Algorithms, 116-121. Morgan Kaufmann.
141. XIAO, J., MICHALEWICZ, Z., ZHANG, L. and TROJANOWSKI, K. (1997) Adaptive evolutionary planner/navigator for mobile robots. IEEE Transactions on Evolutionary Computation, 1, 1, 18-28.