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Metaheuristics for Bi-level Optimization [electronic resource] / edited by El-Ghazali Talbi.

Contributor(s): Talbi, El-Ghazali [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 482Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XVIII, 288 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642378386.Subject(s): Engineering | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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.

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