Metaheuristics for Bi-level Optimization

Başlık:

Yazar:

Talbi, El-Ghazali. editor.

ISBN:

9783642378386

Fiziksel Tanım:

XVIII, 288 p. online resource.

Series:

Studies in Computational Intelligence, 482

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

Abstract:

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.

Konu Terimleri:

Engineering.

Artificial intelligence.

Computational intelligence.

Artificial Intelligence (incl. Robotics).

Added Author:

Talbi, El-Ghazali.

Added Corporate Author:

SpringerLink (Online service)

Electronic Access:

http://dx.doi.org/10.1007/978-3-642-37838-6

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Özet

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.