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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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| Vydáno v: | Comput Intell Neurosci |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi Publishing Corporation
2016
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| Témata: | |
| On-line přístup: | 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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