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GPU-based Island Model for Evolutionary Algorithms
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Luong, Thé Van Melab, Nouredine Talbi, El-Ghazali |
| Copyright Year | 2010 |
| Abstract | 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. |
| Related Links | https://inria.hal.science/inria-00520464/file/gecco.pdf |
| Conference Proceedings | Genetic and Evolutionary Computation Conference (GECCO) |
| Language | English |
| Publisher | HAL CCSD |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Conference Proceedings |
| Subject | Computer Science |
