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A Cooperative Parallel mechanism based Multi-Particle-Swarm Optimizer

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4 Author(s)
Fayong Guo ; Dalian Univ. of Technol., Dalian ; Yong Zhang ; Dunwei Gong ; Wei Wang

An evolutionary mechanism of local-competing and global-cooperating is presented for cooperative parallel mechanism based multi-particle-swarm optimizer (CP-MPSO), the competitive relationship between the particles of the traditional serial particle swarm optimizer is analyzed. A weighted-best-information based the PSO with cooperation-characteristic is proposed. Finally, the implementation of CP-MPSO is showed and its time-complexity is analyzed. The experiment results show that the optimizer has obvious advantages, both in the convergence velocity and in the global convergence performance, compared with the standard PSO.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008