Metaheuristics for bi-level Optimization by El-Ghazali TalbiMetaheuristics for bi-level Optimization by El-Ghazali Talbi

Metaheuristics for bi-level Optimization

byEl-Ghazali Talbi

Hardcover | May 22, 2013

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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.

Title:Metaheuristics for bi-level OptimizationFormat:HardcoverDimensions:288 pagesPublished:May 22, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642378374

ISBN - 13:9783642378379

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Table of Contents

A taxonomy of metaheuristics for bi-level optimization.- A genetic algorithm for power system vulnerability analysis under multiple contingencies.- A bilevel particle swarm optimization algorithm for supply chain management problems.- CoBRA: A coevolutionary metaheuristic for bi-level optimization.- A matheuristic for leader-follower games involving facility location-protection-interdiction decisions.- A metaheuristic framework for bi-Level programming problems with multi-disciplinary applications.- Matheuristics and Exact Methods for the Discrete (r|p)-Centroid Problem.- Exact solution methodologies for linear and (mixed) integer bilevel programming.- Bilevel multi-Objective optimization and decision making.

Editorial 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)