QoS multicast routing based on particle swarm optimization

被引：0
|
作者：
Liu, Jing [1 ]
Sun, Jun [1 ]
Xu, Wenbo [1 ]
机构：
[1] Southern Yangtze Univ, Sch Informat Technol, Ctr Intelligent & High Performance Comp, Wuxi 214122, Jiangsu, Peoples R China
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS | 2006年 / 4224卷
关键词：
quality-of service; multicast routing; particle swarm optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of this paper is to solve Quality-of-Service (QoS) multicast routing problem by Particle Swarm Optimization (PSO). The QoS multicast routing optimization problem was transformed into a quasicontinuous problem by constructing a new integer coding and the constrained conditions in the problem were solved by the method of penalty function. The experimental results indicated that the proposed algorithm could converge to the optimal on near-optimal solution with less computational cost. It also appeared that PSO outperformed Genetic Algorithm on QoS the tested multicast routing problem.
引用
收藏
页码：936 / 943
页数：8
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