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Metaheuristics for Hard Optimization

Methods and Case Studies

Authors: Dréo, J., Pétrowski, A., Siarry, P., Taillard, E.

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About this Textbook

Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of the four most widely known metaheuristics:

• the simulated annealing method,

• tabu search,

• the evolutionary algorithms,

• ant colony algorithms.

Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed. In the second part, the book presents some other less widespread metaheuristics, then, extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed. The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing.

Table of contents (4 chapters)

  • Tabu Search

    Pages 47-73

  • Ant Colony Algorithms

    Pages 123-150

  • Optimization of UMTS Radio Access Networks with Genetic Algorithms

    Sana Ben Jamaa, Zwi Altman, Jean-Marc Picard, et al.

    Pages 251-276

  • Genetic Algorithms Applied to Air Traffic Management

    Nicolas Durand, Jean-Baptiste Gotteland

    Pages 277-306

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-30966-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-540-23022-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-3-642-06194-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Metaheuristics for Hard Optimization
Book Subtitle
Methods and Case Studies
Authors
Translated by
Chatterjee, A.
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-30966-6
DOI
10.1007/3-540-30966-7
Hardcover ISBN
978-3-540-23022-9
Softcover ISBN
978-3-642-06194-3
Edition Number
1
Number of Pages
XII, 372
Additional Information
Originally published in French "Métaheuristiques pour l'optimisation difficile", 2003, Eyrolles, Paris, France
Topics