Improved PSO algorithm and its application  

作　　者：LI Yong-gang GUI Wei-hua YANG Chun-hua LI Jie 

机构地区：[1]School of Information Science and Engineering, Central South University, Changsha 410083, China [2]School of Metallurgical Science and Engineering, Central South University, Changsha 410083, China School of Information Science and Engineering, Central South University, Changsha 410083, China School of Information Science and Engineering, Central South University, Changsha 410083, China School of Metallurgical Science and Engineering, Central South University, Changsha 410083, China

出　　处：《Journal of Central South University of Technology》2005年第z1期222-226,共5页中南工业大学学报（英文版）

摘　　要：The mechanism of particle swarm optimization algorithm is studied, and one can draw the conclusion that the best particle found by the swarm falling into local minima is one of the main reasons for premature convergence. Therefore, an improved particle swarm optimization algorithm is proposed. This algorithm selects the best particle with roulette wheel selection method, so premature converging to local optima is avoided. At last, the improved particle swarm optimization algorithm is applied to optimization of time-sharing power supply for zinc electrolytic process. Simulation and practical results show that the global search ability of IPSO is improved greatly and optimization of time-sharing power supply for zinc electrolytic process can bring about outstanding economic benefit for plant.

关 键 词：particle SWARM optimization PREMATURE CONVERGENCE roulette WHEEL ZINC electrolytic process TIMESHARING power supply 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]