粒子群优化算法综述

被引:24
作者
黄磊
机构
[1] 黄石理工学院机电工程学院
关键词
粒子群算法; 综述; 优化;
D O I
暂无
中图分类号
TP301.6 [算法理论];
学科分类号
081202 ;
摘要
首先介绍了PSO的原理及具体实现步骤;然后针对PSO算法在搜索的初期收敛速度很快,但在后期却易于陷入局部最优的缺点,提出了各种改进办法;最后介绍了PSO算法的应用领域以及研究展望。
引用
收藏
页码:197 / 199
页数:3
相关论文
共 8 条
[1]  
Particle swarm optimization. Kennedy J,Eberhart RC. Proceedings of IEEE International Conference on Neural Networks . 1995
[2]  
Stereotyping: improving particle swarm performance with cluster analysis. Kennedy J. Proceedings of the IEEE Conference on Evolutionary Computation . 2000
[3]  
An Analysis of Particle Swarm Optimizers. Van den Bergh F. . 2002
[4]   免疫粒子群优化算法 [J].
高鹰 ;
谢胜利 .
计算机工程与应用, 2004, (06) :4-6+33
[5]  
A modified particle swarm. Shi Y,Eberhart R C. Proceeding of IEEE International Conference onEvolutionary Computaion . 1998
[6]  
Particle swarm optimiser with neighbourhood operator. Suganthan N. IEEE congress on evolutionary computation . 1998
[7]  
Using selection to improve particle swarm optimization. Angeline P J. Proceedings of 1998 IEEE International Conference on Evolutionary Computation . 1998
[8]  
Particle swarm optimization: developments, applications and resources. Eberhart RC,Shi Y. Proceedings of the 2001 Congress on Evolutionary Computation . 2001