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genetic programming
Last modified: Tuesday, March 12, 2002 

A type of programming that utilizes the same properties of natural selection found in biological evolution. The general idea behind genetic programming is to start with a collection of functions and randomly combine them into programs; then run the programs and see which gives the best results; keep the best ones (natural selection), mutate some of the others, and test the new generation; repeat this process until a clear best program emerges.

LISP is a popular language for genetic programming.

  Related Links

Genetic Programming Notebook 
Contains many items pertaining to genetic programming including tutorials, papers, journals, research groups, conference information, software, and links to related Web sites.

Genetic programming in C++ FAQ
Contains answers to questions about genetic programming in C++.

Genetic Algorithm FAQ
Contains links to a six part FAQ from the comp.ai.genetic newsgroup.

Related Categories

Programming

Related Terms

artificial intelligence

LISP

Books
genetic programming Products


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Genetic Programming Theory and Practice V
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Genetic Programming Theory And Practice IV
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Genetic Programming: 10th European Conference, Eurogp 2007, Valencia, Spain, April 11-13, 2007, Proceedings
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Genetic Programming: 11th European Conference, Eurogp 2008, Naples, Italy, March 26-28, 2008, Proceedings
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Willi-Hans Steeb, Ruedi Stoop, Yorick Hardy - The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov
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