Title :
Improvement of Particle Swarm Optimization Based on Neighborhood Cognizance and Swarm Decision
Author :
Zhu Meijie ; Liu Hanxing ; Sun WeiWe ; Zhu Tonglin
Author_Institution :
Sch. of Inf., South China Agric. Univ., Guangzhou
Abstract :
The original PSO usually converges prematurely, and falls into the local optimal solution. Aimed at the shortcoming of PSO, this paper put forward Improved PSO based on neighborhood cognizance (NCPSO) and improved NCPSO based on Swarm Decision (SDNCPSO). These two improved PSO can reduce the possibility of converging prematurely. The results of experiment prove that these two improved PSO can improve the performance of global convergence in PSO and make PSO converge to global optimal solution faster.
Keywords :
data mining; particle swarm optimisation; PSO; data mining; neighborhood cognizance; particle swarm optimization; swarm decision; Biological system modeling; Convergence; Data mining; Distributed computing; Equations; Evolution (biology); Evolutionary computation; Informatics; Particle swarm optimization; Sun;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.907