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Engineering - Computational Intelligence and Complexity | Metaheuristics for Bi-level Optimization

Metaheuristics for Bi-level Optimization

Talbi, El-Ghazali (Ed.)

2013, XVIII, 288 p. 69 illus.

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

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.

Content Level » Research

Keywords » Bi-level Optimization - Computational Intelligence - Metaheuristics

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of 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.

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