Self-Adaptive Heuristics for Evolutionary Computation

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-adapt...

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Bibliographic Details
Main Author: Kramer, Oliver (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Series:Studies in Computational Intelligence, 147
Subjects:
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ΒΚΠ - Πατρα: ALFd

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