A Cooperative Parallel mechanism based Multi-Particle-Swarm Optimizer

Author

Guo, Fayong ; Zhang, Yong ; Gong, Dunwei ; Wang, Wei

Author_Institution

Dalian Univ. of Technol., Dalian

fYear

2008

fDate

25-27 June 2008

Firstpage

8749

Lastpage

8754

Abstract

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.

Keywords

computational complexity; particle swarm optimisation; convergence velocity; cooperative parallel mechanism; evolutionary mechanism; multi-particle-swarm optimizer; serial particle swarm optimizer; time complexity; Automation; Convergence; Electrochemical machining; Electronic mail; Information analysis; Intelligent control; Particle swarm optimization; TV; Virtual manufacturing; evolutionary mechanism; multi-particle-swarm; particle swarm optimization; weighted-best-information;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594307

Filename

4594307