Study on optimum ring path search based on hybrid ant colony algorithm in optical networks

Luo Fangqiong; Hou Rui

doi:10.13756/j.gtxyj.2014.03.003

您当前的位置：

首页 >

文章列表页 >

Study on optimum ring path search based on hybrid ant colony algorithm in optical networks

- Study on optimum ring path search based on hybrid ant colony algorithm in optical networks
- Study on Optical communication Issue 3, Pages: 8-10(2014)
- 作者机构：
  
  1. 中南民族大学计算机科学学院
  2. 柳州师范高等专科学校数学与计算机科学系
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2014.03.003
  CLC： TN929.1
- Published：2014，
扫描看全文
[1]罗芳琼,侯睿.混合蚁群算法在光网络最优环路径搜索中的应用[J].光通信研究,2014(03):8-10+23.

Luo Fangqiong, Hou Rui. Study on optimum ring path search based on hybrid ant colony algorithm in optical networks. [J]. (3):8-10(2014)
[1]罗芳琼,侯睿.混合蚁群算法在光网络最优环路径搜索中的应用[J].光通信研究,2014(03):8-10+23. DOI： 10.13756/j.gtxyj.2014.03.003.

Luo Fangqiong, Hou Rui. Study on optimum ring path search based on hybrid ant colony algorithm in optical networks. [J]. (3):8-10(2014) DOI： 10.13756/j.gtxyj.2014.03.003.

摘要

路径分配问题是光环网络中的核心问题。根据遗传算法、粒子群优化算法和蚁群算法各自的特点

提出了一种融入粒子群算法和遗传算法的混合蚁群算法

用于对光网络的最优环路径的搜索。仿真结果表明

所提出的算法在收敛速度及寻优效果方面均优于基本的蚁群算法和遗传、粒子群的混合算法

证明了所提出算法的有效性。

Abstract

Path assignment is a core issue for optical ring networks.On the basis of the characteristics of the Genetic Algorithm（GA）

Particle Swarm Optimization（PSO）algorithm and Ant Colony Algorithm（ACA）

this paper proposes a novel hybrid ACA algorithm incorporating PSO and ant GA and searches the optimal ring path in optical networks.Simulation results indicate that the proposed algorithm outperforms the basic ACA and the hybrid GA and PSO algorithm in terms of convergence speed and the search results

confirming its effectiveness.

关键词

光网络最优环蚁群算法粒子群优化算法遗传算法

Keywords

optical networkoptimal ringACAPSO algorithmGA

references

更多指标>

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimized Network Cost Approaches of Virtual Optical Network Mapping based on Mixed Line Rate

Traffic Data Synthesis Algorithm for Optical Network based on Topological Link Recognition

Key Link Identification of Power Optical Network based on Shortest Path Sensitivity

Self-Optimizing Optical Network Implementation Mechanism based on Edge Computing and Cloud Computing

Considerations of a network risk-based RWA algorithm

Related Author

No data

Related Institution

Technology Research Institute, Suzhou LZY Technology Co., Ltd.

Wenzheng College of Soochow University

School of Electronic and Information Engineering, Soochow University

Information and Communication Branch of State Grid Fujian Electric Power Co., Ltd.

State Grid Fujian Electric Power Co., Ltd.

⁰