Self-Adaptive Heuristics for Evolutionary Computation

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Evolutionary algorithms are successful biologically inspired meta-heuristics. Their success depends on adequate parameter settings. The question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer decades ago: self-adaptation. Their self-adaptive mutation control turned out to be exceptionally successful. But nevertheless self-adaptation has not achieved the attention it deserves. This book introduces various types of self-adaptive parameters ...

Self-Adaptive Heuristics for Evolutionary Computation 2010, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642088780

Paperback

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Self-Adaptive Heuristics for Evolutionary Computation 2008, Springer, Berlin, Germany

ISBN-13: 9783540692805

2008 edition

Hardcover

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