Metaheuristics for Bi-level Optimization
By: edited by El-Ghazali Talbi
Contributors: SpringerLink (Online service)
Series: Studies in Computational Intelligence -- 482
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 288
ISBN-13: 9783642378386
Subjects: Engineering; Computational intelligence; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: 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.
Table of contents: title: A taxonomy of metaheuristics for bi-level optimization; title: A genetic algorithm for power system vulnerability analysis under multiple contingencies; title: A bilevel particle swarm optimization algorithm for supply chain management problems; title: CoBRA: A coevolutionary metaheuristic for bi-level optimization; title: A matheuristic for leader-follower games involving facility location-protection-interdiction decisions; title: A metaheuristic framework for bi-Level programming problems with multi-disciplinary applications; title: Matheuristics and Exact Methods for the Discrete (r|p)-Centroid Problem; title: Exact solution methodologies for linear and (mixed) integer bilevel programming; title: Bilevel multi-Objective optimization and decision making.