Parallel and Distributed Hybrid Optimization ...
Type de document :
Communication dans un congrès avec actes
Titre :
Parallel and Distributed Hybrid Optimization Models for Grids
Auteur(s) :
Mehdi, Malika [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Jean-Claude, Charr [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Melab, Nouredine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Pascal, Bouvry [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Jean-Claude, Charr [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Melab, Nouredine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Pascal, Bouvry [Auteur]
Titre de la manifestation scientifique :
International Conference on Metaheuristics and Nature Inspired Computing (META)
Ville :
Djerba
Pays :
Tunisie
Date de début de la manifestation scientifique :
2010-10-27
Date de publication :
2010-10-29
Mot(s)-clé(s) en anglais :
Hybrid optimization
Branch-and-bound
Genetic Algorithms
Grid Computing
Branch-and-bound
Genetic Algorithms
Grid Computing
Discipline(s) HAL :
Sciences cognitives/Informatique
Résumé en anglais : [en]
This paper deals with hybrid optimization schemes that combine meta-heuristics and exact optimization methods. In particular, Genetic Algorithms (GAs) and the Branch-and-Bound algorithm (B&B). Three parallel hybridization ...
Lire la suite >This paper deals with hybrid optimization schemes that combine meta-heuristics and exact optimization methods. In particular, Genetic Algorithms (GAs) and the Branch-and-Bound algorithm (B&B). Three parallel hybridization schemes combining GAs and the B&B algorithm are proposed: a parallel relay model where the two algorithms are executed in a pipeline mode, a low level hybrid scheme where a given operator of the GA is replaced by a B&B solver, and a cooperative hybrid scheme where the two algorithms cooperate and exchange information about: best-found solution, promising regions to exploit by the B&B and unexplored regions to explore by the GA.Lire moins >
Lire la suite >This paper deals with hybrid optimization schemes that combine meta-heuristics and exact optimization methods. In particular, Genetic Algorithms (GAs) and the Branch-and-Bound algorithm (B&B). Three parallel hybridization schemes combining GAs and the B&B algorithm are proposed: a parallel relay model where the two algorithms are executed in a pipeline mode, a low level hybrid scheme where a given operator of the GA is replaced by a B&B solver, and a cooperative hybrid scheme where the two algorithms cooperate and exchange information about: best-found solution, promising regions to exploit by the B&B and unexplored regions to explore by the GA.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
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