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Quantum-Behaved Particle Swarm Optimization with Normal Cloud Mutation Operator

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3 Author(s)
Ji Zhao ; Sch. of Inf. Technol., JiangNan Univ., Wuxi, China ; Jun Sun ; Wenbo Xu

The mutation mechanism is introduced into Quantum-behaved Particle Swarm Optimization to increase its global search ability and escape from local minima. Based on the properties of randomness and stable tendency of normal cloud model, this paper proposed a Quantum-behaved Particle Swarm Optimization with Normal Cloud Mutation Operator (QPSO-NCM). This method is tested and compared with particle swarm optimization (PSO), PSO-NCM and QPSO. The experimental results show that QPSO-NCM performs better than the others algorithms.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009

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