A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization

The concept of particle swarms originated from the simulation of the social behavior commonly observed in animal kingdom and evolved into a very simple but efficient technique for optimization in recent past. Since its advent in 1995, the Particle Swarm Optimization (PSO) algorithm has attracted the...

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Main Authors: Nasir, Md., Das, Swagatam., Maity, Dipankar., Sengupta, Soumyadip., Halder, Udit., Suganthan, P. N.
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2013
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在線閱讀:https://hdl.handle.net/10356/85065
http://hdl.handle.net/10220/13556
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機構: Nanyang Technological University
語言: English