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New Particle Swarm Optimizer with Sigmoid Increasing Inertia Weight.
Reza Firsandaya Malik, Tharek Abdul Rahman, Siti Zaiton Mohd. Hashim, Razali Ngah
Pages - 35 - 44     |    Revised - 15-08-2007     |    Published - 30-08-2007
Volume - 1   Issue - 2    |    Publication Date - August 2007  Table of Contents
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KEYWORDS
Particle Swarm Optimization, Inertia Weight, Linearly Increasing Inertia Weight, Sigmoid Decreasing Inertia Weight, Sigmoid Increasing Inertia Weigh
ABSTRACT
The inertia weight of particle swarm optimization (PSO) is a mechanism to control the exploration and exploitation abilities of the swarm and as mechanism to eliminate the need for velocity clamping. The present paper proposes a new PSO optimizer with sigmoid increasing inertia weight. Four standard non-linear benchmark functions are used to confirm its validity. The comparison has been simulated with sigmoid decreasing and linearly increasing inertia weight. From experiments, it shows that PSO with increasing inertia weight gives better performance with quick convergence capability and aggressive movement narrowing towards the solution region.
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Mr. Reza Firsandaya Malik
- Malaysia
reza_malik2000@yahoo.com
Mr. Tharek Abdul Rahman
- Malaysia
Mr. Siti Zaiton Mohd. Hashim
- Malaysia
Mr. Razali Ngah
- Malaysia