Institutional Repository
| An Enhanced Particle Swarm Optimization Algorithm | |
| Xue-yao Gao; Li-quan Sun; Da-song Sun | |
| 2009 | |
| Source | Information Technology Journal
 |
| Volume | 8Issue:8Pages:1263-1268 |
| English Abstract | 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. |
| Indexed Type | 其他 |
| Cooperation Status | 其它 |
| Keyword | Particle Swarm Local Extremum Chaos Search Optimization Algorithm |
| Language | 中文 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/1340 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| An Enhanced Particle（376KB） | 开放获取 | License | Application Full Text | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment