Improved PSO algorithm and its application 被引量：1

Improved PSO algorithm and its application

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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.

作者 LI Yong-gang GUI Wei-hua YANG Chun-hua LI Jie

机构地区 School of Information Science and Engineering School of Metallurgical Science and Engineering

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）

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]

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