Name
Abstract | ||
|---|---|---|
In this paper, an improved particle swarm optimization algorithm is presented based on the local stable mechanism. The novelty of this kind of particle swarm optimization algorithm is that a certain part of the population stays at a stable level, while the rest part of the population uses the advantages of harmony search. The performance of this algorithm shows that this algorithm can effectively avoid the premature convergence problem. Moreover, this algorithm improves the ability of searching an optimum solution and increases the convergent speed. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34041-3_65 | Communications in Computer and Information Science |
Keywords | DocType | Volume |
Stable strategy,Particle swarm optimization,Harmony search | Conference | 308 |
ISSN | Citations | PageRank |
1865-0929 | 1 | 0.37 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Wei | 1 | 5 | 0.74 |
| Yuanxiang Li | 2 | 245 | 51.20 |
| Dingcai Shen | 3 | 4 | 1.78 |
| Fei Yu | 4 | 502 | 67.20 |
| Xing Xu | 5 | 20 | 4.05 |