Metaheuristics for Bi-level Optimization

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 metah...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Talbi, El-Ghazali (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Studies in Computational Intelligence, 482
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Metaheuristics for Bi-level Optimization  |h [electronic resource] /  |c edited by El-Ghazali Talbi. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a XVIII, 288 p.  |b online resource. 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 482 
505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Talbi, El-Ghazali.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642378379 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 482 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-37838-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)