首页 | 本学科首页   官方微博 | 高级检索  
     

基于量子粒子群算法的组播路由优化
引用本文:丁瑾,陈礼青. 基于量子粒子群算法的组播路由优化[J]. 计算机安全, 2009, 0(12): 7-9
作者姓名:丁瑾  陈礼青
作者单位:淮阴工学院计算机工程学院,江苏,淮安,223003;淮阴工学院计算机工程学院,江苏,淮安,223003
摘    要:不确定网络性能参数下的多约束QoS组播路由优化已成为安全组播领域以及下一代Internet和高性能网络的一个重要研究课题。多约束QoS组播路由优化是NP-完全的多目标优化问题。提出了一个新的量子粒子群算法,其具有收敛速度快、全局性能好等特点。通过应用该算法求解多约束QoS组播路由优化问题的仿真实现,结果表明,该算法取得了较好的效果。

关 键 词:组播  路由优化  多约束  量子  微粒群算法

Multicast Routing Optimization Based on Ouantum Particle Swarm Algorithm
DING Jin,CHEN Li-qing. Multicast Routing Optimization Based on Ouantum Particle Swarm Algorithm[J]. Network & Computer Security, 2009, 0(12): 7-9
Authors:DING Jin  CHEN Li-qing
Affiliation:(School of Computer Engineering, Huaiyin Institute of Technology, Huai'an , Jiangsu 223003, China)
Abstract:Multiple constraints-based QoS multicast routing optimization in networks with uncertain parameters has become a very important research issue in secure multicast, the next generation Internet and high-performance networks. Multiple constraints-based QoS multicast routing is a multiple-objective optimization problem with NP-completeness. In this paper, a novel quantum particle swarm optimization algorithm is proposed, which has good convergence speed and performance in searching global optimum. The algorithm is used in the problem of multiple comstraints-based QoS multicast routing optimization. The simulation results show the algorithm is efficient.
Keywords:Multicast  Routing Optimization  Multiple Constraints  Quantum  PSO
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号