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...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2375/ |