Title: Using group-decided Watts-Strogatz particle swarm optimisation to direct orbits of chaotic systems

Authors: Zengshou Dong

Addresses: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi 030024, China

Abstract: Group-decided Watts-Strogatz Particle Swarm Optimisation (GWSPSO) is a new novel variant of Particle Swarm Optimisation (PSO) that aims to enhance the escaping capability from local optimum by incorporating group decision mechanism and Watts-Strogatz small-world topology. In this paper, GWSPSO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with the standard version of PSO.

Keywords: group decision mechanisms; Watts-Strogatz small-world topology; chaotic system orbits; particle swarm optimisation; PSO; simulation; chaos.

DOI: 10.1504/IJWMC.2012.047972

International Journal of Wireless and Mobile Computing, 2012 Vol.5 No.3, pp.244 - 248

Received: 07 Mar 2012
Accepted: 12 Mar 2012
Published online: 11 Jan 2015 *

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