计算机与数字工程2017，Vol.45Issue(1)：38-42,114,6.DOI:10.3969/j.issn.1672-9722.2017.01.009
基于改进蚁群算法的通信业务智能调配分析研究
Intelligent Allocation of Communication Services Based on Improved Ant Colony Algorithm
缪巍巍 1吴海洋 1施健 2吕顺利2
作者信息
- 1. 江苏省电力公司 南京210024
- 2. 南京南瑞集团公司 南京210003
- 折叠
摘要
Abstract
The traffic routing deployment of power communication optical transmission network is in accordance with the characteristics of the multi constraint conditions,and the traditional routing algorithm is difficult to achieve the optimization of the business path generation.Based on the ant colony algorithm,this paper proposes an improved ant colony algorithm based on the idea of A * algorithm,which effectively avoids the defects of random search and easily lead to local optimum in the ant colony algorithm.Through the simulation experiment,the improved ant colony algorithm in different network topology can obtain a better solution,verify the stability of the algorithm and the superiority,has good feasibility and practicability for deployment of intelligent communication services provide supplementary analysis support.关键词
电力通信网/智能调配/蚁群算法/A*算法Key words
power communication network/intelligent allocation/ant colony algorithm/A* algorithm分类
信息技术与安全科学引用本文复制引用
缪巍巍,吴海洋,施健,吕顺利..基于改进蚁群算法的通信业务智能调配分析研究[J].计算机与数字工程,2017,45(1):38-42,114,6.
