Paper Title:
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.

  Info
Periodical
Edited by
Helen Zhang and David Jin
Pages
106-110
DOI
10.4028/www.scientific.net/AMM.63-64.106
Citation
Y. F. Xu, J. Gao, G. C. Chen, J. S. Yu, "Quantum Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, Vols. 63-64, pp. 106-110, 2011
Online since
June 2011
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