QoS multicast routing based on particle swarm optimization

Authors:
Jing Liu;Jun Sun;Wenbo Xu
Affiliations:
Center of Intelligent and High Performance Computing, School of Information Technology, Southern Yangtze University, Wuxi, Jiangsu, China;Center of Intelligent and High Performance Computing, School of Information Technology, Southern Yangtze University, Wuxi, Jiangsu, China;Center of Intelligent and High Performance Computing, School of Information Technology, Southern Yangtze University, Wuxi, Jiangsu, China
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

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 quasi-continuous 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.