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Studies in Computational Intelligence

Adaptive and Multilevel Metaheuristics

Editors: Cotta, Carlos, Sevaux, Marc, Sörensen, Kenneth (Eds.)

  • Presents recent results in Adaptive and Multilevel Metaheuristics

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eBook $149.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-540-79438-7
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  • Included format: PDF
  • ebooks can be used on all reading devices
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Hardcover $199.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-540-79437-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-09833-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art. Transferring a part of this customization effort to the algorithm itself -endowing it with smart mechanisms to self-adapt to the problem- has been a long pursued goal in the field of metaheuristics.

These mechanisms can involve different aspects of the algorithm, such as for example, self-adjusting the parameters, self-adapting the functioning of internal components, evolving search strategies, etc.

Recently, the idea of hyperheuristics, i.e., using a metaheuristic layer for adapting the search by selectively using different low-level heuristics, has also been gaining popularity. This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization.

Table of contents (13 chapters)

  • Hyperheuristics: Recent Developments

    Chakhlevitch, Konstantin (et al.)

    Pages 3-29

  • Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation

    Smith, James E.

    Pages 31-57

  • An Efficient Hyperheuristic for Strip-Packing Problems

    Araya, Ignacio (et al.)

    Pages 61-76

  • Probability-Driven Simulated Annealing for Optimizing Digital FIR Filters

    Boutillon, Emmanuel (et al.)

    Pages 77-93

  • RASH: A Self-adaptive Random Search Method

    Brunato, Mauro (et al.)

    Pages 95-117

Buy this book

eBook $149.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-540-79438-7
  • 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
valid through October 16, 2017
  • ISBN 978-3-540-79437-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-09833-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive and Multilevel Metaheuristics
Editors
  • Carlos Cotta
  • Marc Sevaux
  • Kenneth Sörensen
Series Title
Studies in Computational Intelligence
Series Volume
136
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-540-79438-7
DOI
10.1007/978-3-540-79438-7
Hardcover ISBN
978-3-540-79437-0
Softcover ISBN
978-3-642-09833-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 275
Topics