The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets-Reference-Cited by-同舟云学术

The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets

Published:1996 Issue: Volume: Page:300-309
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature — PPSN IV
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Author:

Banzhaf Wolfgang,Francone Frank D.,Nordin Peter

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-61723-X_994

Reference13 articles.

1. T. Bäck: Optimal Mutation Rates in Genetic Search. In: S. Forrest (Ed.): Proc. 5th Int. Conference on Genetic Algorithms, ICGA-93. San Mateo: Morgan Kaufmann 1993

2. D. Fogel, L. Stayton: On the Effectiveness of Crossover in Simulated Evolutionary Optimization. Biosystems 32 171–182 (1994)

3. D. Goldberg: Genetic Algorithms in Search Optimization & Learning, Reading: Addison-Wesley 1989

4. J.R. Koza: Genetic Programming. Cambridge (USA): MIT Press 1992

5. K. Lang: Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza's. In: A. Prieditis, S. Russell (Eds.): Proc. 12th Int. Conference on Machine Learning. San Mateo: Morgan Kaufmann 1995

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