Title :
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
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;
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
DOI :
10.1109/WCICA.2008.4594307
