Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development

作者: Juan R. Rabuñal , Julián Dorado , Marcos Gestal , Nieves Pedreira

DOI: 10.1007/11494669_47

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摘要: Being based on the theory of evolution and natural selection, Genetic Algorithms (GA) represent a technique that has been proved as good enough for resolution those problems require search through complex space possible solutions. The maintenance population solutions are in constant may lead to its diversity being lost, consequently it would be more difficult, not only achievement final solution but also supply than one method is described here tries overcome difficulties by means modification traditional GA's. Such involves inclusion an additional might avoid mentioned loss classical This new provide piece exhaustive allows solution.

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