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

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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書目詳細資料
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
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/85065 http://hdl.handle.net/10220/13556
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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