Competitive approaches to PSO algorithms via new acceleration co-efficient variant with mutation operators

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Competitive approaches to PSO algorithms via new acceleration co-efficient variant with mutation operators

This paper presents a few new competitive approaches to particle swarm optimization (PSO) algorithm in terms of the global and local best values (GLbest-PSO) and the standard PSO along with three set of variants namely, inertia weight (IW) acceleration co-efflicient (AC) and mutation operators in th...

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Bibliographic Details
Main Authors:	Arumugam, , MS, Rao, , MVC, Chandramohan, , A
Format:	Article
Published:	2005
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2375/

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