Quantum Particle Swarm Optimization Algorithm

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 s...

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Veröffentlicht in:Applied Mechanics and Materials 2011-06, Vol.63-64, p.106-110
Hauptverfasser: Xu, Yu Fa, Gao, Jie, Chen, Guo Chu, Yu, Jin Shou
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.63-64.106