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Particle Swarm Optimization with Double Learning Patterns
Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity. In this paper, we first analyze the motion behavior of the swarm based on the probability characteristi...
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| Publicado en: | Comput Intell Neurosci |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Hindawi Publishing Corporation
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4707022/ https://ncbi.nlm.nih.gov/pubmed/26858747 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/6510303 |
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