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GPU-based Island Model for Evolutionary Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talb
INRIA Dolphin Project, Opac LIFL CNRS, 40 avenue Halley, Villeneuve d’Ascq, France
GECCO ’10 Proceedings of the 12th annual conference on Genetic and evolutionary computation

@article{van2010gpu,

   title={GPU-based Island Model for Evolutionary Algorithms},

   author={Van Luong, T. and Melab, N. and Talbi, E.G.},

   year={2010}

}

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The island model for evolutionary algorithms allows to delay the global convergence of the evolution process and encourage diversity. However, solving large size and time-intensive combinatorial optimization problems with the island model requires a large amount of computational resources. GPU computing is recently revealed as a powerful way to harness these resources. In this paper, we focus on the parallel island model on GPU. We address its re-design, implementation, and associated issues related to the GPU execution context. The preliminary results demonstrate the effectiveness of the proposed approaches and their capabilities to fully exploit the GPU architecture.
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