Title :
An improved cooperative PSO algorithm
Author :
Shen Huisheng ; Zhao Yanmin
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Abstract :
The original PSO algorithms are disturbed by the "curse of dimensionality", which concludes that their performance deteriorates as the dimensionality of the search space increase. This paper shows a variation on the original PSO algorithm, called improved cooperative particle swarm algorithm, or COPSO, employing cooperative behavior to significantly improve the performance of the original algorithm, and then we add a constriction factor to the CPSO to form an improved CPSO algorithm (ICPSO). Finally, the paper do the experiments on three classic functions, the result of the ICPSO algorithm, relatives to the classic PSO algorithm and the COPSO algorithm, shows the better optimization performance.
Keywords :
particle swarm optimisation; classic functions; constriction factor; cooperative behavior; curse of dimensionality; improved cooperative particle swarm optimization algorithm; search space; Approximation algorithms; Collaboration; Convergence; Educational institutions; Optimization; Particle swarm optimization; Partitioning algorithms; Particle Swarm Optimization; cooperative evolution; improved Cooperative Particle Swarm Optimization;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025643