| 分组粒子群优化算法 |
| |
| 引用本文： | 叶海燕,陈毓灵,高鹰. 分组粒子群优化算法[J]. 广州大学学报(自然科学版), 2007, 6(2): 64-67 |
| |
| 作者姓名： | 叶海燕 陈毓灵 高鹰 |
| |
| 作者单位： | 1. 广州大学,数学与信息科学学院,广东,广州,510006
2. 广州大学,信息与机电工程学院,广东,广州,510006 |
| |
| 摘 要： | 分组PSO算法将粒子群分成几个小群,每个小群有不同的进化参数且每个小群分别进化,在间隔一定时刻进行组间变异和重组操作,并且在重组的同时对各小组参数进行粒子群优化,相比普通粒子群算法无论在收敛速度还是在精度和操作方便性上都有提高.
|
| 关 键 词： | 粒子群 PSO 分组粒子群 快速寻优 |
| 文章编号： | 1671-4229(2007)02-0064-04 |
| 修稿时间： | 2006-09-06 |
The grouping particle swarm optimization |
| |
| YE Hai-yan,CHEN Yu-ling,GAO Ying. The grouping particle swarm optimization[J]. Journal og Guangzhou University:Natural Science Edition, 2007, 6(2): 64-67 |
| |
| Authors: | YE Hai-yan CHEN Yu-ling GAO Ying |
| |
| Affiliation: | 1. School of Mathematics and Information Sciences ,Guangzhou University, Guangzhou 510006,China; 2. School of Information and Electro-Mechanical Engineering, Guangzhou University, Guangzhou 510006, China |
| |
| Abstract: | The grouping PSO proposed here will divide the particle swarm into several small groups.Each group will have its own evolution parameters and evolves separately hybridizes.At the same time,they will optimize each group parameter with PSO and comparing it with the standard PSO.The grouping PSO gets more efficiency converge speed and the convenient of operation. |
| |
| Keywords: | particle swarm optimization PSO grouping particle swarm fast optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
