Quantum Particle Swarm Optimization Algorithm

Yu Fa Xu; Jie Gao; Guo Chu Chen; Jin Shou Yu

doi:10.4028/www.scientific.net/AMM.63-64.106

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64Quantum Particle Swarm Optimization Algorithm

Quantum Particle Swarm Optimization Algorithm

Abstract:

Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles’ diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has stronger optimal ability and better global searching capability than PSO.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

106-110

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.106

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Online since:

June 2011

Authors:

Yu Fa Xu, Jie Gao, Guo Chu Chen, Jin Shou Yu

Keywords:

Optimisation Algorithm, Particle Swarm Optimization Algorithm (PSO), Quantum, Simulation

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