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Caixia Yang
Wuhan Polytechnic University

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Particle Swarm Optimization with a Simulated Binary Crossover Operator Lei Yang; Caixia Yang; Yu Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Particle swarm optimization (PSO) is a new intelligent search technique, which is inspired by swarm intelligence. Although PSO has shown good performance in many benchmark optimization problems, it suffers from premature convergence in solving complex multimodal problems. In this paper, we propose a novel PSO algorithm, called PSO with a simulated binary crossover operator (SCPSO), to improve the performance of PSO. Experimental results on several benchmark problems show that SCPSO achieves better performance than standard PSO. http://dx.doi.org/10.11591/telkomnika.v12i12.5999 
Co-Authors Lei Yang Yu Liu