An Adaptive Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution for Global Optimization

Particle swarm optimization (PSO) and differential evolution (DE) are both efficient and powerful population-based stochastic search techniques for solving optimization problems, which have been widely applied in many scientific and engineering fields. Unfortunately, both of them can easily fly into...

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Detalles Bibliográficos
Autores principales: Yu, Xiaobing, Cao, Jie, Shan, Haiyan, Zhu, Li, Guo, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934314/
https://www.ncbi.nlm.nih.gov/pubmed/24688370
http://dx.doi.org/10.1155/2014/215472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934314/
https://www.ncbi.nlm.nih.gov/pubmed/24688370
http://dx.doi.org/10.1155/2014/215472

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