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

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

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2007
Language
English
ISBN 10 
3540694315
ISBN 13 
9783540694311
Binding
Hardcover
Number of pages
330
Editor
Lobo F.J., Lima Cláudio F., Michalewicz Zbigniew