Quantum Particle Swarm Optimization Algorithm

Abstract:

Article Preview

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 et al., "Quantum Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, Vols. 63-64, pp. 106-110, 2011

Online since:

June 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.