Quantum Particle Swarm Optimization Algorithm

被引：21
|
作者：
Xu Yu-fa [1 ]
Gao Jie [1 ,2 ]
Chen Guo-chu [1 ]
Yu Jin-shou [2 ]
机构：
[1] Shanghai DianJi Univ, Sch Elect Engn, Shanghai 200240, Peoples R China
[2] East China Univ Sci & Technol, Coll Informat Sci & Engn, Shanghai 200237, Peoples R China
来源：
ADVANCED RESEARCH ON MECHANICAL ENGINEERING, INDUSTRY AND MANUFACTURING ENGINEERING, PTS 1 AND 2 | 2011年 / 63-64卷
基金：
中国国家自然科学基金;
关键词：
Particle swarm optimization; Quantum; Optimization algorithm; Simulation;
D O I：
10.4028/www.scientific.net/AMM.63-64.106
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles' diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has stronger optimal ability and better global searching capability than PSO.
引用
收藏
页码：106 / +
页数：2
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