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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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Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Kramer, Oliver (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:	1st ed. 2008.
Colección:	Studies in Computational Intelligence, 147
Temas:	Computer-aided engineering. Engineering mathematics. Engineering-Data processing. Artificial intelligence. Computer-Aided Engineering (CAD, CAE) and Design. Mathematical and Computational Engineering Applications. Artificial Intelligence.
Acceso en línea:	Texto Completo

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