TY  - BOOK
AU  - Talbi,El-Ghazali
ED  - SpringerLink (Online service)
TI  - Metaheuristics for Bi-level Optimization
T2  - Studies in Computational Intelligence,
SN  - 9783642378386
AV  - Q342 
U1  - 006.3 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Computational intelligence
KW  - Computational Intelligence
KW  - Artificial Intelligence (incl. Robotics)
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-37838-6
ER  -