Population implosion in genetic programming

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

Volumn 2724, Issue , 2003, Pages 1729-1739

  Luke, Sean ^a   Balan, Gabriel Catalin ^a   Panait, Liviu ^a  

^a George Mason University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35248867875     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45110-2_65     Document Type: Article

References (17)

1. Streeter, M.J., Keane, M.A., Koza, J.R.: Iterative refinement of computational circuits using Genetic Programming. In Langdon, W.B., Cantú-Paz, E., Mathias, K., Roy, R., Davis, D., Poli, R., Balakrishnan, K., Honavar, V., Rudolph, G., Wegener, J., Bull, L., Potter, M.A., Schultz, A.C., Miller, J.F., Burke, E., Jonoska, N., eds.: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, Morgan Kaufmann Publishers (2002) 877-884
2. Koza, J.R., Keane, M.A., Yu, J., Mydlowec, W.: Automatic synthesis of electrical circuits containing a free variable using Genetic Programming. In Whitley, D., Goldberg, D., Cantu-Paz, E., Spector, L., Parmee, I., Beyer, H.G., eds.: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), Las Vegas, Nevada, USA, Morgan Kaufmann (2000) 477-484
3. Koza, J.: Genetic Programming: on the Programming of Computers by Means of Natural Selection. MIT Press (1992)
4. Luke, S.: When short runs beat long runs. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001, Morgan Kaufmann Publishers (2001) 74-80
5. De Jong, K.: An Analysis of the Behavior of a Class of Genetic Adaptive Systems. PhD thesis, University of Michigan, Ann Arbor, MI (1975)
6. Grefenstette, J.J.: Optimization of control parameters for Genetic Algorithms. IEEE Transactions on Systems Man and Cybernetics 16 (1986) 122-128
7. Schaffer, J.D., Caruana, R.A., Eshelman, L.J., Das, R.: A study of control parameters affecting online performance of Genetic Algorithms for function optimization. In: Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann Publishers Inc. (1989) 51-60
8. De Jong, K., Spears, W.M.: An analysis of the interacting roles of population size and crossover in Genetic Algorithms. In Schwefel, H.P., Männer, R., eds.: Parallel Problem Solving from Nature - Proceedings of Ist Workshop, PPSN 1. Volume 496., Dortmund, Germany, Springer-Verlag, Berlin, Germany (1991) 38-47
9. Goldberg, D.E., Deb, K., Clark, J.H.: Genetic Algorithms, noise, and the sizing of populations. Complex Systems 6 (1992) 333-362
10. Giguère, P., Goldberg, D.E.: Population sizing for optimum sampling with Genetic Algorithms: A case study of the onemax problem. In Koza, J.R., Banzhaf, W., Chellapilla, K., Deb, K., Dorigo, M., Fogel, D.B., Garzon, M.H., Goldberg, D.E., Iba, H., Riolo, R., eds.: Genetic Programming 1998: Proceedings of the Third Annual Conference, University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann (1998) 496-503
11. Federman, F., Dorchak, S.F.: A study of classifier length and population size. In Koza, J.R., Banzhaf, W., Chellapilla, K., Deb, K., Dorigo, M., Fogel, D.B., Garzon, M.H., Goldberg, D.E., Iba, H., Riolo, R., eds.: Genetic Programming 1998: Proceedings of the Third Annual Conference, University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann (1998) 629-634
12. Arabas, J., Michalewicz, Z., Mulawka, J.J.: GAVaPS - A Genetic Algorithm with varying population size. In: Proceedings of IEEE Conference on Evolutionary Computation. Volume 1. (1994) 73-78
13. Balazs, M.E., Richter, D.L.: A Genetic Algorithm with dynamic population: Experimental results. In Brave, S., Wu, A.S., eds.: Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, Orlando, Florida, USA (1999) 25-30
14. Fuchs, M.: Large populations are not always the best choice in Genetic Programming. In Banzhaf, W., Daida, J., Eiben, A.E., Garzon, M.H., Honavar, V., Jakiela, M., Smith, R.E., eds.: Proceedings of the Genetic and Evolutionary Computation Conference. Volume 2., Orlando, Florida, USA, Morgan Kaufmann (1999) 1033-1038
15. Wagner, N., Michalewicz, Z.: Genetic Programming with efficient population control for financial time series prediction. In Goodman, E.D., ed.: 2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, San Francisco, California, USA (2001) 458-462
16. Luke, S. ECJ 9: A Java EC research system. http://www.cs.umd.edu/projects/plus/ec/ecj/ (2002)
17. Cervone, G., Michalski, R., Kaufman, K., Panait, L.: Combining Machine Learning with Evolutionary Computation: Recent results on LEM. In: Proceedings of the Fifth International Workshop on Multistrategy Learning. (2000) 41-58