二阶振荡微粒群算法  

Two-order Oscillating Particle Swarm Optimization

作　　者：胡建秀[1] 曾建潮[1] 

机构地区：[1]太原科技大学系统仿真与计算机应用研究所,山西太原030024

出　　处：《系统仿真学报》2007年第5期997-999,共3页Journal of System Simulation

基　　金：教育部重点科研项目(204018)

摘　　要：从控制角度分析了微粒群算法的进化方程,在此基础上,为了增加微粒群体的多样性和进一步改善算法性能,引入二阶振荡进化方程来调节微粒群算法的全局和局部搜索能力,避免算法陷入局部最优。实验结果表明,该方法能够显著地加强算法的全局最优性,同时加快算法的收敛速度。The evolutionary equation of particle swarm optimization was analyzedfrorn the point of control. On the basis of it, in order to increase the particle swarm＇s diversity and improve the performance of PSO, the two-order oscillating evolutionary equation was introduced, which could adjust the global and local search capability and avoid the local optimization. The results on benchmark functions show that this method can increase significantly the global optimization and the evolutionary speed.

关 键 词：微粒群算法 全局收敛性 二阶振荡进化方程 振荡 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]