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  • 标题:An Efficient Genetic Algorithm Based Clonal Selection and Hill Climbing for Solving QoS Multicast Routing Problem
  • 本地全文:下载
  • 作者:Tarek M Mahmoud ; Alaa Ismail El Nashar ; Mohammed Eman
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2014
  • 卷号:11
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:Quality of Service (QoS) multicast routing is essential for many network applications such as IPTV, Internet radio, multimedia broadcasting, and real-time telecommunication. Multicast routing involves transport of information from one single sender to multiple destinations. There are two requirements of multicast routing in many multimedia real time applications: one is optimized network cost and other is bandwidth, bounded delay constraints. In this paper an efficient genetic algorithm based on clonal selection and hill climbing is proposed to solve the least-cost multicast routing problem with bandwidth and end-to-end delay constraints. The performance and efficiency of the proposed algorithm have been evaluated by a comparison with other existing genetic algorithms. The simulation results show that the proposed algorithm has high speed convergence and effective in solving the considered problem.
  • 关键词:QoS multicast routing; Genetic algorithm; Artificial immune system and Hill Climbing
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