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A Modified PSO Method Based on Cultural Algorithm and Quantum Computing

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6 Author(s)
Xiao-Zhi Gao ; Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China ; Ying Wu ; Xiaolei Wang ; Xianlin Huang
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A novel Cultural Quantum-behaved Particle Swarm Optimization algorithm (CQPSO) is proposed in this paper to improve the performance of the Quantum-behaved PSO (QPSO). The cultural framework is embedded in our QPSO, and the knowledge stored in the belief space can guide the evolution of the QPSO. A total of 15 high-dimensional and multi-modal functions as well as an optimal pressure vessel design problem are employed to investigate the proposed algorithm. Numerical simulations results demonstrate that the CQPSO can indeed outperform the QPSO.

Published in:

Computational Intelligence and Security (CIS), 2012 Eighth International Conference on

Date of Conference:

17-18 Nov. 2012