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Metaheuristics for Bi-level Optimization

  • Book
  • © 2013

Overview

  • Recent research on Metaheuristics
  • Focuses on Metaheuristics for bi-level Optimization
  • Written by leading experts in the field

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

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Table of contents (9 chapters)

Keywords

About this book

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.

Reviews

From the reviews:

“This book is a collection of nine contributions focusing on the state of the art of metaheuristic methods for solving bi-level optimization problems. … the book addresses a very specialized audience of experts in metaheuristics for bi-level optimization, and will be very useful and informative to such experts regarding the latest advances in the field.” (I. M. Navon, Computing Reviews, October, 2013)

Editors and Affiliations

  • , Cite Scientifique, University of Lille 1, Villeneuve d'Ascq, France

    El-Ghazali Talbi

Bibliographic Information

  • Book Title: Metaheuristics for Bi-level Optimization

  • Editors: El-Ghazali Talbi

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-37838-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Hardcover ISBN: 978-3-642-37837-9Published: 22 May 2013

  • Softcover ISBN: 978-3-642-44225-4Published: 22 May 2015

  • eBook ISBN: 978-3-642-37838-6Published: 09 April 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 288

  • Topics: Computational Intelligence, Artificial Intelligence

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