A Hybrid Particle Swarm Algorithm for Nonlinear Parameter Estimation

摘要：

A hybrid particle swarm optimization algorithm for solving non-linear parameter estimation is proposed,which is based on genetic algorithm.And can increase the diversity of population and make the particles have a definite evolution direction when they are renewed.This improved approach has been tested on some problems commonly used in this paper. The results show that the proposed approach is an efficient and can reach a higher precision.

关键词： particle swarm optimization parameters estimation genetic algorithm crossover operator

作者: Shengyu Pei Yongquan Zhou Qifang Luo

作者单位: College of Mathematics and Computer Science Guangxi University for Nationalities Nanning 530006 China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 219-222

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）