An Enhanced Particle Swarm Optimization Algorithm
文献类型：期刊论文
| 作者 | Xue-yao Gao ; Li-quan Sun ; Da-song Sun |
| 刊名 | Information Technology Journal
 |
| 出版日期 | 2009 |
| 卷号 | 8期号:8页码:1263-1268 |
| 关键词 | Particle swarm local extremum chaos search optimization algorithm |
| 合作状况 | 其它 |
| 中文摘要 | Particle Swarm Optimization (PSO) algorithm is often used for finding optimal solution, but it easily entraps into the local extremum in later evolution period. Based on improved chaos searching strategy, an enhanced particle swarm optimization algorithm is proposed in this study. When particles get into the local extremum, they are activated by chaos search strategy, where the chaos search area is controlled in the neighborhood of current optimal solution by reducing search area of variables. The new algorithm not only gets rid of the local extremum effectively but also enhances the precision of convergence significantly. Experiment results show that the proposed algorithm is better than standard PSO algorithm in both precision and stability. |
| 收录类别 | 其他 |
| 语种 | 中文 |
| 公开日期 | 2010-05-13 |
| 源URL | [http://124.16.136.157/handle/311060/1340]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Xue-yao Gao,Li-quan Sun,Da-song Sun. An Enhanced Particle Swarm Optimization Algorithm[J]. Information Technology Journal,2009,8(8):1263-1268. |
| APA | Xue-yao Gao,Li-quan Sun,&Da-song Sun.(2009).An Enhanced Particle Swarm Optimization Algorithm.Information Technology Journal,8(8),1263-1268. |
| MLA | Xue-yao Gao,et al."An Enhanced Particle Swarm Optimization Algorithm".Information Technology Journal 8.8(2009):1263-1268. |
入库方式： OAI收割
来源：软件研究所
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