P2P B&B and GA for the flow-shop scheduling ...
Type de document :
Partie d'ouvrage: Chapitre
Titre :
P2P B&B and GA for the flow-shop scheduling problem
Auteur(s) :
Bendjoudi, Ahcène [Auteur]
Centre de recherche sur l'Information Scientifique et Technique [CERIST]
Guerdah, Samir [Auteur]
Département de Mathématiques [Tizi Ouzou]
Mansoura, Madjid [Auteur]
Département de Mathématiques [Tizi Ouzou]
Melab, Nouredine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Centre de recherche sur l'Information Scientifique et Technique [CERIST]
Guerdah, Samir [Auteur]
Département de Mathématiques [Tizi Ouzou]
Mansoura, Madjid [Auteur]
Département de Mathématiques [Tizi Ouzou]
Melab, Nouredine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]

Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Éditeur(s) ou directeur(s) scientifique(s) :
Springer
Titre de l’ouvrage :
Metaheuristics for Scheduling in Distributed Computing Environments
Éditeur :
Springer
Date de publication :
2008
Discipline(s) HAL :
Informatique [cs]/Autre [cs.OH]
Résumé en anglais : [en]
Solving exactly Combinatorial Optimization Problems (COPs) using a Branch-and-Bound algorithm (B&B) requires a huge amount of computational resources. The efficiency of such algorithm can be improved by its hybridization ...
Lire la suite >Solving exactly Combinatorial Optimization Problems (COPs) using a Branch-and-Bound algorithm (B&B) requires a huge amount of computational resources. The efficiency of such algorithm can be improved by its hybridization with meta-heuristics such as Genetic Algorithms (GA) which proved their effectiveness, since they generate acceptable solutions in a reasonable time. Moreover, distributing at large scale the computation, using for instance Peer-to-Peer (P2P) Computing, provides an efficient way to reach high computing performance. In this chapter, we propose ParallelBB and ParallelGA, which are P2P-based parallelization of the B&B and GA algorithms for the computational Grid. The two algorithms have been implemented using the ProActive distributed object Grid middleware. The algorithms have been applied to a mono-criterion permutation flow-shop scheduling problem and promisingly experimented on the Grid5000 computational Grid.Lire moins >
Lire la suite >Solving exactly Combinatorial Optimization Problems (COPs) using a Branch-and-Bound algorithm (B&B) requires a huge amount of computational resources. The efficiency of such algorithm can be improved by its hybridization with meta-heuristics such as Genetic Algorithms (GA) which proved their effectiveness, since they generate acceptable solutions in a reasonable time. Moreover, distributing at large scale the computation, using for instance Peer-to-Peer (P2P) Computing, provides an efficient way to reach high computing performance. In this chapter, we propose ParallelBB and ParallelGA, which are P2P-based parallelization of the B&B and GA algorithms for the computational Grid. The two algorithms have been implemented using the ProActive distributed object Grid middleware. The algorithms have been applied to a mono-criterion permutation flow-shop scheduling problem and promisingly experimented on the Grid5000 computational Grid.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Collections :
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