Comparative Study of Parallel Variants for a Particle Swarm Optimization Algorithm Implemented on a Multithreading GPU
The Particle Swarm Optimization (PSO) algorithm is a well known alternative for global optimization based on a bio¿inspired heuristic. PSO has good performance, low computational complexity and few parameters. Heuristic techniques have been widely studied in the last twenty years and the scientific...
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| Pubblicato in: | Journal of Applied Research and Technology |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Universidad Nacional Autónoma de México
2009
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=47413020004 |
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