北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2011, Vol. 34 ›› Issue (6): 19-23.doi: 10.13190/jbupt.201106.19.zhangwb

• 论文 • 上一篇    下一篇

Gbest优化的粒子群算法在自适应偏振模色散补偿中的应用

张文博1,张晓光1,席丽霞2,2,邸青玥2,2   

  1. 1. 北京邮电大学
    2.
  • 收稿日期:2011-02-25 修回日期:2011-09-13 出版日期:2011-12-28 发布日期:2011-10-18
  • 通讯作者: 张文博 E-mail:zhangwb@bupt.edu.cn
  • 作者简介:张文博(1974-),男,副教授,E-mail:zhangwb@bupt.edu.cn
  • 基金资助:

    国家高技术研究发展计划项目;国家自然科学基金项目

The Applications of Gbest Optimized Particle Swarm Optimization Algorithm in Adaptive Polarization Mode Dispersion Compensation

  • Received:2011-02-25 Revised:2011-09-13 Online:2011-12-28 Published:2011-10-18
  • Supported by:

    State 863 projects

摘要:

本文提出了一种对基于对传统粒子群(CPSO)算法中的Gbest进行优化的新型粒子群算法(GOPSO)。与CPSO算法相比,GOPSO算法具有更高的收敛速度,需要更少的迭代次数得到可以接受的结果,具有较小的概率陷入局部极值,且易于在实时应用中实现。实验中,已经将GOPSO算法作为高速光纤通讯中偏振模色散自适应补偿系统的控制算法,实验数据表明,GOPSO算法的性能大大好于CPSO算法。

Abstract:

In this paper, a new type of hybrid particle swarm optimization (PSO) algorithm is presented. The new algorithm is named as gbest optimization based particle swarm optimization algorithm (GOPSO). Comparing with the conventional PSO (CPSO) algorithm, GOPSO shows faster convergence to the global optima, less generation number needed to obtain an acceptable result, lower probability to lock into sub-optima, and easy implementation in the real-world applications. We use GOPSO as control algorithm to implement adaptive compensation system for polarization mode dispersion (PMD) in high-speed optical fiber communication system and the performance of GOPSO shows much better performance than that of CPSO.

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