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Self-Adaptive Heuristics for Evolutionary Computation (Studies in Computational Intelligence) free ebook download

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Computer Science

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Author(s):	Oliver Kramer

Date:	2008	Format:	pdf	Language:	English	ISBN/ASIN:	3540692800
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	tvladb77	Upload Date:	6/8/2022 9:50:06 PM

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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 for evolutionary computation. Biased mutation for evolution strategies is useful for constrained search spaces. Self-adaptive inversion mutation accelerates the search on combinatorial TSP-like problems. After the analysis of self-adaptive crossover operators the book concentrates on premature convergence of self-adaptive mutation control at the constraint boundary. Besides extensive experiments, statistical tests and some theoretical investigations enrich the analysis of the proposed concepts.

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3124897	Book	https://novafile.com/file/l57ym738ui6i...		0.00	tvladb77

Tags: Computation Computational Evolutionary Heuristics Intelligence Self-Adaptive Studies

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Self-Adaptive Heuristics for Evolutionary Computation (Studies in Computational Intelligence) free ebook download

Category: Computer Science

Description: Click to see full description

Category:
Computer Science