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Gbest优化的粒子群算法在自适应偏振模色散补偿中的应用

DOI: 10.13190/jbupt.201106.19.zhangwb, PP. 19-23

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Abstract:

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。

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