An improved particle swarm optimization algorithm combined with piecewise linear chaotic map |
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Authors: | Tao Xiang Xiaofeng Liao Kwok-wo Wong |
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Affiliation: | aCollege of Computer Science, Chongqing University, Chongqing 400044, China bDepartment of Electronic Engineering, City University of Hong Kong, Hong Kong |
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Abstract: | Particle swarm optimization (PSO) has gained increasing attention in tackling complex optimization problems. Its further superiority when hybridized with other search techniques is also shown. Chaos, with the properties of ergodicity and stochasticity, is definitely a good candidate, but currently only the well-known logistic map is prevalently used. In this paper, the performance and deficiencies of schemes coupling chaotic search into PSO are analyzed. Then, the piecewise linear chaotic map (PWLCM) is introduced to perform the chaotic search. An improved PSO algorithm combined with PWLCM (PWLCPSO) is proposed subsequently, and experimental results verify its great superiority. |
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Keywords: | Particle swarm optimization Chaotic optimization Piecewise linear chaotic map |
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