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Parameter Setting in Evolutionary Algorithms
. Ed(S): Lobo, Fernando G.; Lima, Claudio F.; Michalewicz, Zbigniew
€ 240.38
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Description for Parameter Setting in Evolutionary Algorithms
hardcover. Covers a broad area of evolutionary computation, including genetic algorithms, genetic programming, and estimation of distribution algorithms. This book discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. Editor(s): Lobo, Fernando G.; Lima, Claudio F.; Michalewicz, Zbigniew. Series: Studies in Computational Intelligence. Num Pages: 318 pages, 100 black & white illustrations, 24 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 642.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Springer Germany
Number of pages
318
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
318
Place of Publication
Berlin, Germany
ISBN
9783540694311
SKU
V9783540694311
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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