Metaheuristics for Bi-level Optimization

Herausgegeben:Talbi, El-Ghazali; Brotcorne, Luce

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 482
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-37837-9
• 2013
• Seitenzahl: 308
• Erscheinungstermin: 22. Mai 2013
• Englisch
• Abmessung: 241mm x 160mm x 22mm
• Gewicht: 572g
• ISBN-13: 9783642378379
• ISBN-10: 3642378374
• Artikelnr.: 37627127

Inhaltsangabe

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.

Rezensionen

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)