Neighborhood Structures for GPU-based Local Search Algorithms

Luong, Thé Van; Melab, Nouredine; Talbi, El-Ghazali

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1142/S0129626410000260

Title :

Neighborhood Structures for GPU-based Local Search Algorithms

Author(s) :

Luong, Thé Van [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]

Journal title :

Parallel Processing Letters

Pages :

307-324

Publisher :

World Scientific Publishing

Publication date :

2010

ISSN :

0129-6264

English keyword(s) :

GPU-based metaheuristics
Parallel local search algorithms on GPU

HAL domain(s) :

Informatique [cs]/Autre [cs.OH]

English abstract : [en]

Local search algorithms are powerful heuristics for solving computationally hard problems in science and industry. In these methods, designing neighborhood operators to explore large promising regions of the search space ...
Show more >Local search algorithms are powerful heuristics for solving computationally hard problems in science and industry. In these methods, designing neighborhood operators to explore large promising regions of the search space may improve the quality of the obtained solutions at the expense of a high computation process. As a consequence, the use of GPU computing provides an efficient way to speed up the search. However, designing applications on GPU is still complex and many issues have to be faced. We provide a methodology to design and implement different neighborhood structures for LS algorithms on GPU. The work has been evaluated for binary problems and the obtained results are convincing both in terms of efficiency, quality and robustness of the provided solutions at run time.Show less >

Language :

Anglais

Popular science :

Non

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