NDLI: Combining concepts of inertia weights and constriction factors in particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Chuen-Yau Chen Cheng-Hsueh Chuang Meng-Cian Wu
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, National University of Kaohsiung, 81148, Taiwan (Chuen-Yau Chen; Cheng-Hsueh Chuang; Meng-Cian Wu)
Abstract	A particle swarm optimization algorithm with global star topology designed by combining the concepts of the inertia weight and constriction factor is proposed in this paper. We enhance the global search ability at the beginning, while slowing down in the local search when the particles are near the local minimum by the linearly decreasing inertia weight. We apply the constriction factor with a value of 0.729 scales down the velocity step sizes, such that the particles can move without large overshoots at the beginning and smoothly approach the goals with a series of small steps when the particles are near the area of the optimal solution prior to the end of iterations. For a a quick convergence, the global star topology is chosen in this algorithm. The simulations performed on 2 well-known benchmark functions for over 50 runs indicate that the proposed algorithm with a population size of only 20 particles can achieve the goals quickly and accurately.
Starting Page	73
Ending Page	76
File Size	144696
Page Count	4
File Format	PDF
ISBN	9781457717789
ISSN	21591547
e-ISBN	9781457717796
DOI	10.1109/CIMSA.2012.6269606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Topology Particle swarm optimization Benchmark testing Vectors Convergence Educational institutions Dynamic range
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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