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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Detalles Bibliográficos
Autores principales: Shen, Yuanxia, Wei, Linna, Zeng, Chuanhua, Chen, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707022/
https://www.ncbi.nlm.nih.gov/pubmed/26858747
http://dx.doi.org/10.1155/2016/6510303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707022/
https://www.ncbi.nlm.nih.gov/pubmed/26858747
http://dx.doi.org/10.1155/2016/6510303

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