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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| Опубликовано в:: | Journal of Applied Research and Technology |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Universidad Nacional Autónoma de México
2009
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| Предметы: | |
| Online-ссылка: | https://www.redalyc.org/articulo.oa?id=47413020004 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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