Studies in Computational Intelligence

Linkage in Evolutionary Computation

Editors: Chen, Ying-ping (Ed.)

  • Presents recent results in Linkage in Evolutionary Computation

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eBook $209.00
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About this book

In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.

The whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. This edited volume will serve as a useful guide and reference for researchers who are currently working in the area of linkage. For postgraduate research students, this volume will serve as a good source of reference. It is also suitable as a text for a graduate level course focusing on linkage issues. For practitioners who are looking at putting into practice the concept of linkage, the few chapters on applications will serve as a useful guide.

Table of contents (19 chapters)

  • Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration

    Schwarz, Josef (et al.)

    Pages 3-23

  • Linkages Detection in Histogram-Based Estimation of Distribution Algorithm

    Ding, Nan (et al.)

    Pages 25-40

  • Linkage in Island Models

    Skolicki, Zbigniew

    Pages 41-60

  • Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems

    Li, Minqiang (et al.)

    Pages 61-86

  • Linkage Learning Accuracy in the Bayesian Optimization Algorithm

    Lima, Claudio F. (et al.)

    Pages 87-107

Buy this book

eBook $209.00
price for USA (gross)
  • ISBN 978-3-540-85068-7
  • 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
  • ISBN 978-3-540-85067-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $269.00
price for USA
  • ISBN 978-3-642-09876-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Linkage in Evolutionary Computation
Editors
  • Ying-ping Chen
Series Title
Studies in Computational Intelligence
Series Volume
157
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-85068-7
DOI
10.1007/978-3-540-85068-7
Hardcover ISBN
978-3-540-85067-0
Softcover ISBN
978-3-642-09876-5
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 488
Number of Illustrations and Tables
227 b/w illustrations
Topics