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Studies in Computational Intelligence

Parameter Setting in Evolutionary Algorithms

Editors: Lobo, F.J., Lima, Cláudio F., Michalewicz, Zbigniew (Eds.)

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About this book

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Parameter Setting in EAs: a 30 Year Perspective

    Pages 1-18

    Jong, Kenneth

  • Parameter Control in Evolutionary Algorithms

    Pages 19-46

    Eiben, A. E. (et al.)

  • Self-Adaptation in Evolutionary Algorithms

    Pages 47-75

    Meyer-Nieberg, Silja (et al.)

  • Adaptive Strategies for Operator Allocation

    Pages 77-90

    Thierens, Dirk

  • Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms

    Pages 91-119

    Preuss, Mike (et al.)

Buy this book

eBook $209.00
price for USA in USD
  • ISBN 978-3-540-69432-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $269.00
price for USA in USD
  • ISBN 978-3-540-69431-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $269.00
price for USA in USD
  • ISBN 978-3-642-08892-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Parameter Setting in Evolutionary Algorithms
Editors
  • F.J. Lobo
  • Cláudio F. Lima
  • Zbigniew Michalewicz
Series Title
Studies in Computational Intelligence
Series Volume
54
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-69432-8
DOI
10.1007/978-3-540-69432-8
Hardcover ISBN
978-3-540-69431-1
Softcover ISBN
978-3-642-08892-6
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 318
Number of Illustrations
100 b/w illustrations
Topics

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