A Particle Swarm Optimization with stagnation detection and dispersion

Conference proceedings article

Authors/Editors

CHUKIAT WORASUCHEEP

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Publication Details

Author list: Worasucheep C.

Publisher: Hindawi

Publication year: 2008

Start page: 424

End page: 429

Number of pages: 6

ISBN: 9781424418237

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-55749111045&doi=10.1109%2fCEC.2008.4630832&partnerID=40&md5=3873f9394497f3d545e3eb6643d9f471

Languages: English-Great Britain (EN-GB)

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Abstract

Particles or candidate solutions in the standard Particle Swarm Optimization (PSO) algorithms often face the problems of being trapped into local optima. To solve such a problem, this paper proposes a modified PSO algorithm with the stagnation detection and dispersion (PSO-DD) mechanism, which can detect a probable stagnation and is able to disperse particles. This mechanism will be described and its performance is evaluated using eight well-known 30-dimensional benchmark functions that are widely used in literature. The results show a promising alternative path for solving the common problem of local optima in PSO algorithms. ฉ 2008 IEEE.

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