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基于双种群遗传算法的MPLS流量工程研究
引用本文:黄镇建,蔡群英.基于双种群遗传算法的MPLS流量工程研究[J].计算机仿真,2010,27(3):202-205.
作者姓名:黄镇建  蔡群英
作者单位:1. 韩山师范学院物理与电子工程系,广东,潮州,521041
2. 韩山师范学院数学与信息技术系,广东,潮州,521041
摘    要:针对因特网流量的快速增加和对服务质量要求的不断提高,为避免网络数据流过大造成拥塞问题,利用MPLS流量工程的路由算法成为业界研究的重点。介绍了MPLS流量工程的工作机制,并提出了数学模型。MPLS流量工程的关键问题是LSP的分布优化问题,针对这一问题的Np-hard特性,提出一种基于双种群策略的遗传算法求解方法,算法采用自然数编码来提高搜索效率。算法中,两个子种群周期性地交流最优染色体,进一步提高了性能。仿真实验表明,提出的算法能有效提高搜索速度,增加获得最优解的概率。

关 键 词:流量工程  遗传算法  双种群  

The Research Based on Dual Population Genetic Algorithm for Traffic Engineering in MPLS Networks
HUANG Zhen-jian,CAI Qun-ying.The Research Based on Dual Population Genetic Algorithm for Traffic Engineering in MPLS Networks[J].Computer Simulation,2010,27(3):202-205.
Authors:HUANG Zhen-jian  CAI Qun-ying
Institution:1.Physics and Electronic Engineering Department of Hanshan Normal University/a>;Chaozhou Guangdong 521041/a>;China/a>;2.Department of Mathematics and Information Technology of Hanshan Normal University/a>;China
Abstract:Rapid growth of Internet traffic and increasing requirements for service quality have made traffic engineering an essential consideration in the operation of large internet backbone network.This paper introduces the traffic engineering working-mechanism and math model.The key problem of the MPLS TE is the optimized distribution of LSPs.As to the problem's character,this paper introduces a genetic algorithm with two populations to solve it,and it uses the natural number coding method to improve search effici...
Keywords:Traffic engineering(TE)  Genetic algorithm(GA)  Double populations
本文献已被 CNKI 维普 万方数据 等数据库收录!
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