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基于改进PSO算法的QOS选播流路由的研究
消耗积分:3 |
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大小:186 |
2009-06-25
微风挽雨
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选播是一种网络通信服务，在视频流点播等领域发挥重要作用。该文采用改进的粒子
群算法（PSO）优化QOS 服务，比如端到端延迟，服务器负载，网络流量。该算法采用节点序列编码方案，将离散的组合优化转化为一种准连续的优化问题。实验结果表明，该算法在满足QOS 约束的前提下可以实现选播路由的多目标组合优化。
关键词：选播路由；服务质量；PSO 算法；多目标优化
Abstract: Anycast is a kind of network communication service, and it is vital in domain and so on. PSO algorithm was used to optimization the QoS constraint, such as end – to –end delay, server load and networks traffic. The QoS anycast routing optimization problems were changed into a quasi-continuous problem by using a node series encoding method. The algorithm simulation results show that the algorithm can implement anycast routing combinatorial optimization under QoS constraint.
Key words: anycast routing; Quality of service(QoS); PSO; multi-objecttive optimization
群算法（PSO）优化QOS 服务，比如端到端延迟，服务器负载，网络流量。该算法采用节点序列编码方案，将离散的组合优化转化为一种准连续的优化问题。实验结果表明，该算法在满足QOS 约束的前提下可以实现选播路由的多目标组合优化。
关键词：选播路由；服务质量；PSO 算法；多目标优化
Abstract: Anycast is a kind of network communication service, and it is vital in domain and so on. PSO algorithm was used to optimization the QoS constraint, such as end – to –end delay, server load and networks traffic. The QoS anycast routing optimization problems were changed into a quasi-continuous problem by using a node series encoding method. The algorithm simulation results show that the algorithm can implement anycast routing combinatorial optimization under QoS constraint.
Key words: anycast routing; Quality of service(QoS); PSO; multi-objecttive optimization
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