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Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence, 54, Band 54) - Hardcover

 
9783540694311: Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence, 54, Band 54)
Hardcover
ISBN 10: 3540694315 ISBN 13: 9783540694311
Verlag: Springer, 2007

Inhaltsangabe

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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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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Verlag
Springer
Erscheinungsdatum
2007
Sprache
Englisch
ISBN 10 
3540694315
ISBN 13 
9783540694311
Einband
Gebundene Ausgabe
Anzahl der Seiten
330
Herausgeber
Lobo F.J., Lima Cláudio F., Michalewicz Zbigniew
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