Methods to evolve legal phenotypes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1498 LNCS, Issue , 1998, Pages 280-291

  Yu, Tina ^a   Bentley, Peter ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; GENETIC PROGRAMMING;

GENETIC PROGRAMMING SYSTEM; LEGAL SOLUTIONS; OPTIMIZATION PROBLEMS; RUN-TIME ERRORS;

CONSTRAINT SATISFACTION PROBLEMS;

EID: 84878590808     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056871     Document Type: Conference Paper

References (20)

1. Bäck, T., Evolutionary Algorithms in Theory and Practice. Oxford Uni. Press, NY (1996).
2. Banzhaf, W. Genotype-phenotype-mapping and neutral variation - a case study in genetic programming. Parallel Problem Solving From Nature, 3. Y. Davidor, H-P Schwefel, and R. Mnner (eds.), Springer-Verlag, (1994) 322-332.
3. Bentley, P. J. & Wakefield, J. P., Finding acceptable solutions in the pareto-optimal range using multiobjective genetic algorithms. Chawdhry, P.K., Roy, R., & Pant, R.K. (eds) Soft Computing in Engineering Design and Manufacturing. Springer Verlag London Limited, Part 5, (1997), 231-240.
4. th Annual Conference on Evolutionary Programming. MIT Press, Cambridge, MA (1996).
5. Gero, J. S. and Kazakov, V. A, Evolving design genes in space layout planning problems, Artificial Intelligence in Engineering (1998).
6. Goldberg, D. E., Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley (1989).
7. Gruau, F., On using syntactic constraints with genetic programming. Advances in Genetic Programming II, P.J. Angeline & K.E. Kinnear, Jr, (eds.), MIT Press, (1996) 377-394
8. Janikow, C, A methodology for processing problem constraints in genetic programming. Computers and Mathematics with Application, Vol. 32 No. 8, (1996) 97-113.
9. Keller, R. and Banzhaf, W. Genetic programming using genotype-phenotype mapping from linear genomes into linear phenotypes. Genetic Programming '96: Proc. of the 1st Annual Conf. on GP., MIT Press, Cambridge, MA. (1996) 116-122.
10. Koza, J. R., Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA (1992).
11. th Annual Conference on Evolutionary Programming. MIT Press (1995).
12. Michalewicz, Z., Genetic algorithms, numerical optimization and constraints, Proc. of the 6th Int. Conf. on Genetic Algorithms, Pittsburgh, July 15-19, (1995a) 151-158.
13. Michalewicz, Z., A survey of constraint handling techniques in evolutionary computation methods Proc. of the 4th Annual Conf. on Evolutionary Programming, MIT Press, Cambridge, MA (1995b) 135-155.
14. Michalewicz, Z., Dasgupta, D., Le Riche, R.G., and Schoenauer, M., Evolutionary algorithms for constrained engineering problems, Computers & Industrial Engineering Journal, Vol.30, No.2, September (1996) 851-870.
15. Michalewicz, Z. and Michalewicz, M., "Pro-Life versus Pro-Choice Strategies in Evolutionary Computation Techniques", Ch. 10, Evolutionary Computation, IEEE Press (1995).
16. Michalewicz, Z., Schoenauer, M., Evolutionary Algorithms for Constrained Parameter Optimization Problems, Evolutionary Computation 4 (1996) 1-32.
17. Hinterding, R. and Michalewicz, Z., Your brains and my beauty: parent matching for constrained optimisation, Proc. of the 5th Int. Conf. on Evolutionary Computation, Anchorage, Alaska, (1998) May, 4-9.
18. Schoenauer, M. and Michalewicz, Z., Boundary operators for constrained parameter optimization problems, Proc. of the 7th Int. Conf. on Genetic Algorithms, East Lansing, Michigan, July 19-23 (1997) 320-329.
19. Syswerda, G., Uniform crossover in genetic algorithms. In Schaffer, D. (ed.), Proc. of the Third Int. Conf on Genetic Algorithms. Morgan Kaufmann Pub., (1989).
20. Yu, T. and Clack, C, PolyGP: A polymorphic genetic programming system in Haskell. Genetic Programming '98: Proc. of the 3rd Annual Conf. Genetic Programming, (1998).