Berlin Springer-Verlag Berlin and Heidelberg GmbH & Co. K 2010 Paperback New. 318 p. Studies in Computational Intelligence , 54. 24 Tables, black and white; 100 Illustrations, black and white; XII, 318 p. 100 illus. Intended for professional and scholarly audience.

ISBN10: 3642088929, ISBN13: 9783642088926, [publisher: Springer Berlin Heidelberg] Softcover Druck auf Anfrage Neuware - Printed after ordering - 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.
[Einbeck, Germany] [Publication Year: 2010] ...
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ISBN10: 3642088929, ISBN13: 9783642088926, [publisher: Springer Berlin Heidelberg] Softcover Druck auf Anfrage Neuware - Printed after ordering - 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.
[Einbeck, Germany] [Publication Year: 2010] ...
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Springer, Date: 2007. Paperback. New. 318 pages. 9.00x6.00x0.75 inches. 2007. Springer ISBN 3642088929 9783642088926 [GB]

Springer, Date: 2010-11-25. Softcover reprint of hardcover 1. Paperback. Used:Good. 2010. Springer ISBN 3642088929 9783642088926 [US]