Parameter Setting in Evolutionary Algorithms

ISBN 10: 3642088929 ISBN 13: 9783642088926
Verlag: Springer, 2010
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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.

Von der hinteren Coverseite: 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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Titel: Parameter Setting in Evolutionary Algorithms
Verlag: Springer
Erscheinungsdatum: 2010
Einband: Paperback
Zustand: Very Good
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Verlag: Springer, 2010
ISBN 10: 3642088929 ISBN 13: 9783642088926
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Taschenbuch. Zustand: Neu. Parameter Setting in Evolutionary Algorithms | F. J. Lobo (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9783642088926 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 107175794

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Taschenbuch. Zustand: Neu. 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. Artikel-Nr. 9783642088926

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Michalewicz, Zbigniew (Editor) / Lima, Cláudio F. (Editor) / Lobo, F.J. (Editor)
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ISBN 10: 3642088929 ISBN 13: 9783642088926
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Paperback. Zustand: Brand New. 318 pages. 9.00x6.00x0.75 inches. In Stock. Artikel-Nr. x-3642088929

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