Optimal planning of optical transmission network using improved genetic algorithm

Yue SHI; song QIUXue; yong GUOShao; Feng QI

doi:10.11959/j.issn.1000-436x.2016013

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Optimal planning of optical transmission network using improved genetic algorithm

Academic paper | 更新时间：2024-06-05

- Optimal planning of optical transmission network using improved genetic algorithm
- Journal on Communications Vol. 37, Issue 1, Pages: 116-122(2016)
- 作者机构：
  
  北京邮电大学网络与交换技术国家重点实验室，北京 100876
- 作者简介：
- 基金信息：
  
  Research and Application of Management System Intellectualization and Extension Technology in Electric Power Communication Foundation
- DOI：10.11959/j.issn.1000-436x.2016013
  CLC： TP302
- Online First：2016-01，
  
  Published：25 January 2016
- 稿件说明：
移动端阅览
Yue SHI, song QIUXue, yong GUOShao, et al. Optimal planning of optical transmission network using improved genetic algorithm[J]. Journal on Communications, 2016, 37(1): 116-122.
DOI：

Yue SHI, song QIUXue, yong GUOShao, et al. Optimal planning of optical transmission network using improved genetic algorithm[J]. Journal on Communications, 2016, 37(1): 116-122. DOI： 10.11959/j.issn.1000-436x.2016013.

摘要

为保证建成的电力通信网络满足智能电网坚强可靠、经济高效的需求，提出一种兼顾网络建设成本和网络可靠性的电力光传输网线路规划方法，设计出基于站点成环率和电压等级的可靠性函数，建立了线路规划问题的多目标优化模型，在此基础上，用改进的遗传算法对问题进行求解，仿真结果表明，提出的规划方法能够提供有效的线路规划方案，具备较优的算法性能。

Abstract

To ensure that power communication network to meet the reliable

economic requirements

a network planning method was proposed. Developing a reliability function based on ring rate and voltage class of communication station

then a multi-target programming model was established. An approach based on improved genetic algorithm was devel-oped to solve the problem. Finally

simulation results show that the proposed method can provide efficient network plan-ning solution with high performance.

关键词

Keywords

references

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