Multi-population genetic algorithm for function op
2016-08-23
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The problems of genetic algorithms, a multiple-population genetic algorithm architecture model (Multiple Population GA, MPGA for short) can be used instead of the standard model (SGA). MPGA in SGA, based on mainly introduces the following concepts: (1) the breakthrough SGA only on a single Community framework for genetic evolution, introducing multiple stocks simultaneously optimize search; different species is assigned a different control parameters to achieve different searching purposes. (2) among all segments of the population through migration operator to contact to achieve multiple population co-evolution; Gets the optimal solution is the multiple population co-evolution of aggregated results. (3) by artificial selection saving groups evolution each generation's best individual, and as a basis for judging convergence.
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