An improved anycast QoS Routing Algorithm Based on Chaos Genetic Algorithm

被引：0

作者：

Rui, Shi ^{[1
]}

Hui, Zhao ^{[1
]}

机构：

[1] Henan Univ, Coll software, Kaifeng 475004, Peoples R China

来源：

APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷

关键词：

Chaos; Anycast; Qos; Genetic Algorithm; Routing;

D O I：

10.4028/www.scientific.net/AMM.513-517.2157

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

To overcome the problem of tending to converge to part in anycast QoS routing based on Genetic Algorithm, a new improved anycast QoS routing algorithm based on Genetic Algorithm is proposed which adopt the improved chaotic disturbance operator. The simulated result shows that this algorithm has a good ability of global search, and it can find a set of low-cost paths with bandwidth constraints and delay requirements efficiently and quickly. By comparing the simulation data, the success rate of finding the optimal solutions is improved, and the larger network scale, its advantage is more obvious.

引用

页码：2157 / 2160

页数：4

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