Studies in Fuzziness and Soft Computing

Towards a New Evolutionary Computation

Advances on Estimation of Distribution Algorithms

Editors: Lozano, J.A., Larrañaga, P., Inza, I., Bengoetxea, E. (Eds.)

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eBook $189.00
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  • ISBN 978-3-540-32494-2
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Hardcover $249.00
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  • ISBN 978-3-540-29006-3
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Softcover $249.00
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  • ISBN 978-3-642-06704-4
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About this book

This is a nicely edited volume on Estimation of Distribution Algorithms (EDAs) by leading researchers on this important topic.

It covers a wide range of topics in EDAs, from theoretical analysis to experimental studies, from single objective to multi-objective optimisation, and from parallel EDAs to hybrid EDAs. It is a very useful book for everyone who is interested in EDAs, evolutionary computation or optimisation in general.

Xin Yao, IEEE Fellow
Editor-in-Chief, IEEE Transactions on Evolutionary Computation

______________________________________________________________

Estimation of Distribution Algorithms (EDAs) have "removed genetics"

from Evolutionary Algorithms (EAs). However, both approaches (still) have a lot in common, and, for instance, each one could be argued to in fact include the other! Nevertheless, whereas some theoretical approaches that are specific to EDAs are being proposed, many practical issues are common to both fields, and, though proposed in the mid 90's only, EDAs are catching up fast now with EAs, following many research directions that have proved successful for the latter:

opening to different search domains, hybridizing with other methods (be they OR techniques or EAs themselves!), going parallel, tackling difficult application problems, and the like.

This book proposes an up-to-date snapshot of this rapidly moving field, and witnesses its maturity. It should hence be read ... rapidly, by anyone interested in either EDAs or EAs, or more generally in stochastic optimization.

Marc Schoenauer
Editor-in-Chief, Evolutionary Computation

Table of contents (12 chapters)

  • Linking Entropy to Estimation of Distribution Algorithms

    Ochoa, Alberto (et al.)

    Pages 1-38

  • Entropy-based Convergence Measurement in Discrete Estimation of Distribution Algorithms

    Ocenasek, Jiri

    Pages 39-50

  • Real-coded Bayesian Optimization Algorithm

    Ahn, Chang Wook (et al.)

    Pages 51-73

  • The CMA Evolution Strategy: A Comparing Review

    Hansen, Nikolaus

    Pages 75-102

  • Estimation of Distribution Programming: EDA-based Approach to Program Generation

    Yanai, Kohsuke (et al.)

    Pages 103-122

Buy this book

eBook $189.00
price for USA
  • ISBN 978-3-540-32494-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-3-540-29006-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-3-642-06704-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Towards a New Evolutionary Computation
Book Subtitle
Advances on Estimation of Distribution Algorithms
Editors
  • Jose A. Lozano
  • Pedro Larrañaga
  • Iñaki Inza
  • Endika Bengoetxea
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
192
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-32494-2
DOI
10.1007/3-540-32494-1
Hardcover ISBN
978-3-540-29006-3
Softcover ISBN
978-3-642-06704-4
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XVI, 294
Number of Illustrations and Tables
109 b/w illustrations
Topics