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一种基于向量差的粒子群优化模型
引用本文:王一萍.一种基于向量差的粒子群优化模型[J].高师理科学刊,2010,30(5):31-34.
作者姓名:王一萍
作者单位:齐齐哈尔大学计算机与控制工程学院,黑龙江齐齐哈尔161006
摘    要:针对传统粒子群优化技术存在易陷入局部最优解而导致的收敛速度变慢、多样性差的缺点,对参数设置进行研究,并提出一种基于向量差的粒子群优化模型,将2个随机选择的不同向量差加权到粒子速度更新公式中,能够使粒子摆脱局部最小值而向全局搜索.经对几个典型函数的测试,表明该模型效果较好.

关 键 词:粒子群优化  向量  优化算法

A particle swarm optimization model based vector difference
WANG Yi-ping.A particle swarm optimization model based vector difference[J].Journal of Science of Teachers'College and University,2010,30(5):31-34.
Authors:WANG Yi-ping
Institution:WANG Yi-ping(School of Computer and Control Engineer,Qiqihar University,Qiqihar 161006,China)
Abstract:Aim at the shorting that traditional PSO easily trapped into local optimal solution which slows down the convergence and bad diversity.Setting the parameters of PSO is studied and proposed a PSO model based vector difference.The difference of two vectors is weighted in update formula of particle acceleration.It make particle break away from the local minimum and to search in global field.Tested several typical functions,it proved that the model has better affect.
Keywords:particle swarm optimization  vector  optimization algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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