Genetic Algorithms Based on Grid and Its Application
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Abstract
In Simple Genetic Algorithms(SGA), chromosomes are produced at random. In order to increase the popularity and diversity of individuals, a new genetic algorithms which produces chromosomes with grid is proposed, and its optimization efficiency is evaluated quantitatively. For comparision with SGA, the DeJong Function Flis used an example.Both results show that the new genetic algorithms with grid is valid for improving the optimal efficiency of genetic algorithms.
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