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Parameter setting in evolutionary algorithms

Author: Fernando G Lobo; Cláudio F Lima; Zbigniew Michalewicz
Publisher: Berlin ; New York : Springer, 2007.
Series: Studies in computational intelligence, 54.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Parameter setting in evolutionary algorithms.
Berlin ; New York : Springer, 2007
(DLC) 2006939345
(OCoLC)78989792
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Fernando G Lobo; Cláudio F Lima; Zbigniew Michalewicz
ISBN: 9783540694328 3540694323 9783540694311 3540694315
OCLC Number: 184984721
Description: 1 online resource (xii, 317 pages) : illustrations.
Contents: Parameter Setting in EAs: a 30 Year Perspective --
Parameter Control in Evolutionary Algorithms --
Self-Adaptation in Evolutionary Algorithms --
Adaptive Strategies for Operator Allocation --
Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms --
Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks --
Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques --
Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms --
Adaptive Population Sizing Schemes in Genetic Algorithms --
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements --
Parameter-less Hierarchical Bayesian Optimization Algorithm --
Evolutionary Multi-Objective Optimization Without Additional Parameters --
Parameter Setting in Parallel Genetic Algorithms --
Parameter Control in Practice --
Parameter Adaptation for GP Forecasting Applications.
Series Title: Studies in computational intelligence, 54.
Responsibility: Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, (eds.).
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Abstract:

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  Read more...

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