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一种带压缩因子的自适应权重粒子群算法
引用本文:李军,许丽佳,游志宇.一种带压缩因子的自适应权重粒子群算法[J].西南农业大学学报,2011,33(7).
作者姓名:李军  许丽佳  游志宇
作者单位:四川农业大学信息与工程技术学院;西南交通大学电气工程学院;
基金项目:四川省教育厅自然科学资助重点项目(08ZA067)
摘    要:结合对粒子群优化算法收敛性的分析,针对算法在寻优过程中容易出现的早熟现象,提出了一种带压缩因子的自适应权重粒子群算法.该算法以目标函数值的改变为信息,动态设置惯性权重值,使算法达到全局寻优和局部探索之间的有效平衡.仿真实验表明该算法能有效抑制寻优过程中的早熟现象.

关 键 词:粒子群优化算法  收敛性  权重  

Adaptive Weight Particle Swarm Optimization Algorithm with Constriction Coefficient
LI Jun,XU Li-jia,YOU Zhi-yu .College of Communication , Engineering Technology,Sichuan Agricultural University,Yaan Sichuan ,China,.School of Electrical Engineering,Southwest Jiaotong University,Chengdu.Adaptive Weight Particle Swarm Optimization Algorithm with Constriction Coefficient[J].Journal of Southwest Agricultural University,2011,33(7).
Authors:LI Jun  XU Li-jia  YOU Zhi-yu College of Communication  Engineering Technology  Sichuan Agricultural University  Yaan Sichuan  China  School of Electrical Engineering  Southwest Jiaotong University  Chengdu
Institution:LI Jun1,XU Li-jia1,YOU Zhi-yu2 1.College of Communication and Engineering Technology,Sichuan Agricultural University,Yaan Sichuan 625014,China,2.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031
Abstract:In global optimization process,common particle swarm optimization algorithm can easily fall into the local optimization arising from the phenomenon of prematurity.Through an analysis of its convergence,this paper presents an adaptive weight particle swarm optimization algorithm with the compression coefficient.The algorithm changes the value of the objective function for the information to change the value,so that the algorithm may reach an effective balance between global optimization and local exploration...
Keywords:particle swarm optimization algorithm  convergence  weight  
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