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In Genetic Algorithms, the solution to a problem is represented by a fixed length string of characters. Successive generations are derived by mixing character strings (genes) from the previous generation and introducing mutations
The Genetic Algorithms Archive is a repository for information related to research in genetic algorithms and other forms of evolutionary computation. Available from this site are past issues of the GA-List digest, source code for many GA implementations, and announcements about GA-related conferences. Also, links are given to many interesting sites around the World with material related to evolutionary computation
Includes links to resources for Machine Learning and Data Mining Software, Inductive Logic Programming, Data Mining and Knowledge Discovery, Genetic Algorithms and Evolutionary Computation, etc.
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