Metaheuristics for Bi-level Optimization

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Details

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.

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

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642442254
    • Genre Technology Encyclopedias
    • Auflage 2013
    • Editor El-Ghazali Talbi
    • Lesemotiv Verstehen
    • Anzahl Seiten 308
    • Herausgeber Springer Berlin Heidelberg
    • Größe H235mm x B155mm x T17mm
    • Jahr 2015
    • EAN 9783642442254
    • Format Kartonierter Einband
    • ISBN 3642442250
    • Veröffentlichung 22.05.2015
    • Titel Metaheuristics for Bi-level Optimization
    • Untertitel Studies in Computational Intelligence 482
    • Gewicht 470g
    • Sprache Englisch

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