Studies in Computational Intelligence

Hybrid Metaheuristics

An Emerging Approach to Optimization

Editors: Blum, Christian, Roli, Andrea, Sampels, Michael (Eds.)

  • Presents recent developments in hybrid metaheuristics

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eBook $149.00
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  • ISBN 978-3-540-78295-7
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Hardcover $199.00
price for USA
  • ISBN 978-3-540-78294-0
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  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
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  • ISBN 978-3-642-09697-6
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About this book

Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.

The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

Table of contents (9 chapters)

  • Hybrid Metaheuristics: An Introduction

    Blum, Christian (et al.)

    Pages 1-30

  • Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization

    Raidl, G√ľnther R. (et al.)

    Pages 31-62

  • The Relation Between Complete and Incomplete Search

    Prestwich, Steven

    Pages 63-83

  • Hybridizations of Metaheuristics With Branch & Bound Derivates

    Blum, Christian (et al.)

    Pages 85-116

  • Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems

    Chiarandini, Marco (et al.)

    Pages 117-150

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-540-78295-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-540-78294-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-09697-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Metaheuristics
Book Subtitle
An Emerging Approach to Optimization
Editors
  • Christian Blum
  • Andrea Roli
  • Michael Sampels
Series Title
Studies in Computational Intelligence
Series Volume
114
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78295-7
DOI
10.1007/978-3-540-78295-7
Hardcover ISBN
978-3-540-78294-0
Softcover ISBN
978-3-642-09697-6
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 290
Topics