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一种基于改进蚁群算法的光网络动态RWA机制
引用本文:程希,沈建华,杨帆,梁兵,于飞.一种基于改进蚁群算法的光网络动态RWA机制[J].光通信研究,2011(5):1-3.
作者姓名:程希  沈建华  杨帆  梁兵  于飞
作者单位:南京邮电大学通信与信息工程学院;
摘    要:动态RWA(路由与波长分配)问题是智能光网络的核心问题.文章提出一种解决动态RWA问题的改进蚁群算法,在转移概率中加入了链路的空闲率作为约束条件,同时还引入了随机扰动防止搜索过早收敛于局部最优路径.仿真结果表明,改进算法与传统Dijkstra+ FF(首次命中)算法相比,可以显著降低阻塞率,提高资源利用率.

关 键 词:智能光网络  路由与波长分配  蚁群算法  阻塞率

An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks
Cheng Xi,Shen Jianhua,Yang Fan,Liang Bing,Yu Fei.An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks[J].Study on Optical Communications,2011(5):1-3.
Authors:Cheng Xi  Shen Jianhua  Yang Fan  Liang Bing  Yu Fei
Affiliation:Cheng Xi,Shen Jianhua,Yang Fan,Liang Bing,Yu Fei(College of Communication and Information Engineering,Nanjing University of Posts &Telecommunications,Nanjing 210003,China)
Abstract:Dynamic Routing and Wavelength Assignment(RWA) is a key issue in intelligent optical networks.This paper presents an improved ant colony algorithm to tackle this issue,in which link idleness probability is added to the ant transition probability as a constraint and simultaneously random disturbances are introduced to prevent premature convergence of searches into the optimal local path.Simulation results show that compared with the conventional Dijkstra+FF algorithm,the modified algorithm significantly decr...
Keywords:intelligent optical network  RWA  ant colony algorithm  blocking probability  
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