摘要
针对标准PSO算法后期迭代搜索效率不高,容易陷入局部最优的问题,提出将免疫克隆(IC)原理引入PSO算法中,把抗体视为粒子,根据亲和度的高低进行粒子克隆选择、克隆抑制和高频变异,提高了种群的多样性和全局搜索的能力。并将其应用于40Gb/s的传输系统中进行了DOP优化补偿实验,算法补偿所需时间约为71ms。通过对比补偿前后的信号眼图可以发现,PMD补偿后,信号眼图张开度有明显改善,证明了算法的有效性。
Considering that the standard （Particle Swarm Optimization） PSO algorithm has low iteration efficiency during later period and may trap to local optimum, Immune Clone （IC） principle is introduced into the PSO algorithm. The antibodies can be regarded as the particles. According to the degree of affinity, the clone selection, clone suppression, and high-frequency mutation are performed, which can enhance the diversity of particle swarm and the capability of global searching. The optimal compensation experiment is performed in the 40 Gb/s transmission system, in which the compensation time required was about 71 ms. The opening of signal eye diagram has been improved obviously after compensation. The experimental results demonstrate the effectiveness of the algorithm proposed.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第4期108-112,共5页
Opto-Electronic Engineering
基金
国家自然科学基金资助项目(60877047)
科技部国际科技合作项目(2008DFR10530)
关键词
群智能
免疫克隆
粒子群优化
偏振模色散补偿
swarm intelligence
immune clone
particle swarm optimization
polarization mode dispersion compensation
