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Lobo Lima Michalewicz,"Parameter Setting in Evolutionary Algorithms"

One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.

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	Technical Frontiers of Evolutionary Computation (Genetic Algorithms and Evolutionary Compu Author: Anil MenonPublisher: Kluwer Academic PublishersPublish Date: 01 February, 2004ISBN: 1402075243
	Science/Engineering Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence) ===volutionary相关链接===[2007/1002][2007/1001][2007/0921][2007/0919][2007/0917]Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence) Publisher: SpringerNumber Of Pages: 321Publication Date: 2007-04Sale ...
	Science/Engineering Parameter Setting in Evolutionary Algorithms Publisher: SpringerLanguage: EnglishISBN: 3540694315Paperback: 321 pagesData: Apr 2007Format: PDFDescription: One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given prob ...
	Science/Engineering Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) Publisher: Springer; 2nd ed. editionLanguage: EnglishISBN: 0387332545Paperback: 800 pagesData: September 18, 2007Format: PDFDescription: Solving multi-objective problems is an evolving effort, and computer science and other related discipli ...
	Science/Engineering Representations for Genetic and Evolutionary Algorithms, 2nd Edition (Repost) Franz Rothlauf, «Representations for Genetic and Evolutionary Algorithms, 2nd Edition»Springer \| ISBN 354025059X \| 2006 Year \| PDF \| 4,99 Mb \| 325 PagesIn the field of genetic and evolutionary algorithms (GEAs), a large amount of theory a ...
	Evolutionary Algorithms in Theory and Practice : Evolution Strategies, Evolutionary Programming, Genetic Algorithms Evolutionary Algorithms in Theory and Practice : Evolution Strategies, Evolutionary Programming, Genetic Algorithms328 pages\| Oxford University Press USA \| ISBN: 0195099710“This book presents a unified view of evolutionary algorithms: the ...

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