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Metaheuristics for Bi-level Optimization

  • El-Ghazali Talbi

Part of the Studies in Computational Intelligence book series (SCI, volume 482)

Table of contents

  1. Front Matter
    Pages 1-15
  2. François Legillon, Arnaud Liefooghe, El-Ghazali Talbi
    Pages 95-114
  3. Ekaterina Alekseeva, Yury Kochetov
    Pages 189-219
  4. Georgios K. D. Saharidis, Antonio J. Conejo, George Kozanidis
    Pages 221-245
  5. Ankur Sinha, Kalyanmoy Deb
    Pages 247-284
  6. Back Matter
    Pages 285-288

About this book

Introduction

This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains.
Readers learn to solve large scale bi-level optimization problems by efficiently combining metaheuristics with complementary metaheuristics and mathematical programming approaches. Numerous real-world examples of problems demonstrate how metaheuristics are applied in such fields as networks, logistics and transportation, engineering design, finance and security.

Keywords

Bi-level Optimization Computational Intelligence Metaheuristics

Editors and affiliations

  • El-Ghazali Talbi
    • 1
  1. 1., Cite ScientifiqueUniversity of Lille 1Villeneuve d'AscqFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37838-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-37837-9
  • Online ISBN 978-3-642-37838-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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