Where does the good stuff go, and why? how contextual semantics influences program structure in simple genetic programming

Author:

Goldberg David E.,O’Reilly Una-May

Publisher

Springer Berlin Heidelberg

Reference26 articles.

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

2. J. R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, 1992.

3. Una-May O’Reilly and David E. Goldberg. The impact of fitness structure on sub-solution acquisition. Technical report, University of Illinois, Urbana-Champaign, Illinois, February 1998. Available via ftp from the Illigal WWW site.

4. D. E. Goldberg, K. Deb, and J. Clark. Genetic algorithms, noise, and the sizing of populations. Complex Systems, 6:333–3624, 1992.

5. D. E. Goldberg, B. Korb, and K. Deb. Messy genetic algorithms: Motivation, analysis and first results. Complex Systems, 4:415–444, 1989.

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