Title :
A Particle Swarm Optimization Based on Improved Multi-Swarm and Analysis
Author :
Li, Minghua ; Liu, Quan ; Yao, Wangshu ; Chen, Ming
Author_Institution :
Coll. of Comput. Sci. & Technol., Soochow Univ., Suzhou
Abstract :
Based on the differentially perturbed velocity particle swarm optimization, an improved multi-swarm particle swarm optimization (MSPSO) is presented to improve the problem of the slow convergence and diversity loss. The algorithm makes the number of populations search at the same time in the same
Keywords :
particle swarm optimisation; diversity loss; improved multi-swarm particle swarm optimization; particle swarm optimization; slow convergence; Computer science; Convergence; Design optimization; Image processing; Iterative algorithms; Laboratories; Machine learning algorithms; Particle swarm optimization; Pattern recognition; Testing;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.73
