Name
Abstract | ||
|---|---|---|
The Particle Swarm Optimization (PSO) was introduced into automatic PMD compensation. It showed the merits of rapid convergence to the global optimum not being trapped in local sub-optima in searching process for automatic PMD compensation and robust to noise. In this paper we describe how implementing PSO as a control algorithm in automatic PMD compensation. The comparisons of performances between global version of PSO and local version of PSO were carried out theoretically and experimentally. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/0-387-23178-1_65 | INTERNATIONAL FEDERATION FOR INFORMATION PROCESSING |
Field | DocType | Volume |
Particle swarm optimization,Control algorithm,Mathematical optimization,Control theory,Computer science,Polarization controller,Global optimum,Rapid convergence,Polarization mode dispersion | Conference | 164 |
ISSN | Citations | PageRank |
1571-5736 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoguang Zhang | 1 | 5 | 7.56 |
| Yuan Zheng | 2 | 0 | 0.34 |
| Yu Shen | 3 | 0 | 0.34 |
| Jianzhong Zhang | 4 | 0 | 0.34 |
| Bojun Yang | 5 | 2 | 2.86 |