光通信研究Issue(3)：35-38,4.
基于人工智能方法的无源光网络优化规划
Passive optical networks optimization planning based
on artificial intelligence methods
陈亚华 1刘锦高 2赵文武 2卞玉存2
作者信息
- 1. 上海电信技术研究所,
- 2. 华东师范大学 电子科学技术系,
- 折叠
摘要
Abstract
This paper uses artificial intelligence methods to optimize the PON topology. The simulation experiments of PON systems such as FPX-1000 are carried out. The genetic algorithm (GA)，add algorithm (AA) and Hopfield net approach (HNA) are compared,The simulation results show that GA is better than AA and HNA. GA can minimize installation cost of PON and realize the optimization of the passive optical networks with satisfaction.关键词
无源光网络/遗传算法/增添算法/Hopfield网络方法/网络规划分类
信息技术与安全科学引用本文复制引用
陈亚华,刘锦高,赵文武,卞玉存..基于人工智能方法的无源光网络优化规划[J].光通信研究,2001,(3):35-38,4.
