A GA-based multi-purpose optimization algorithm for QoS routing

A. Koyama, L. Barolli, Kazunori Matsumoto, B. Apduhan
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引用次数: 41

Abstract

The routing algorithms for multimedia communication should use for routing more than one QoS parameter. This is because new services such as video on demand and remote meeting systems require better QoS. However, the problem of QoS routing is difficult and to find a feasible route with two independent path constraints is NP-complete. Also, QoS routing algorithms for broadband networks must be adaptive, flexible, and intelligent for efficient network management. In this paper, we propose a multipurpose optimization method for QoS routing based on genetic algorithm (GA). The simulation results show that proposed method has a good performance and is a promising method for QoS routing.
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基于遗传算法的QoS路由多目标优化算法
多媒体通信的路由算法应用于路由多个QoS参数。这是因为视频点播和远程会议系统等新业务需要更好的QoS。但是,QoS路由问题比较困难,找到具有两个独立路径约束的可行路由是np完全的。同时,宽带网络的QoS路由算法必须具有自适应、灵活和智能化的特点,才能实现高效的网络管理。本文提出了一种基于遗传算法的QoS路由多目标优化方法。仿真结果表明,该方法具有良好的性能,是一种很有前途的QoS路由方法。
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