Particle swarm optimization using multi-information characteristics of all personal-best information

Convergence stagnation is the chief difficulty to solve hard optimization problems for most particle swarm optimization variants. To address this issue, a novel particle swarm optimization using multi-information characteristics of all personal-best information is developed in our research. In the m...

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Detalles Bibliográficos
Autores principales: Huang, Song, Tian, Na, Wang, Yan, Ji, Zhicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081087/
https://www.ncbi.nlm.nih.gov/pubmed/27833831
http://dx.doi.org/10.1186/s40064-016-3244-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081087/
https://www.ncbi.nlm.nih.gov/pubmed/27833831
http://dx.doi.org/10.1186/s40064-016-3244-8

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