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Genetic algorithms (GAs) are computer programs that mimic the processes of biological evolution in order to solve problems and to model evolutionary systems. In this paper I describe the appeal of using ideas from evolution to solve computational problems, give the elements of simple GAs, survey some application areas of GAs, and give a detailed example of how a GA was used on one particularly interesting problem—automatically discovering good strategies for playing the Prisoner’s Dilemma. The paper concludes with a short introduction to the theory of GAs.
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Melanie Mitchell (1995) studied this question.
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