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QoS-Based Dynamic Multicast Routing Design Using Genetic Algorithms

机译:基于遗传算法的基于QoS的动态组播路由设计

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摘要

This paper addresses the problem of determining minimum cost paths to nodes in a Multicast group satisfying delay bounds and delay variation bounds. This study explores the use of Genetic algorithms (GAs) for solving the multicast routing problems when multiple Quality of services (QoS) requirements are presented. Our simulation results indicate that it is critical to select a suitable representation method and a set of appropriate parameters in order to obtain good performance. For a medium network, the probability from 0.02 to 0.2 seems to work better than those of too small or too large. As compared with the other optimal algorithm, the proposed algorithm gives better performance in terms of the success rate, the tree cost, the number of exchanged messages and the convergence time.
机译:本文解决了确定到达组播组中满足延迟范围和延迟变化范围的节点的最小成本路径的问题。这项研究探索了遗传算法(GA)在解决多个服务质量(QoS)要求时解决组播路由问题的方法。我们的仿真结果表明,为了获得良好的性能,选择合适的表示方法和一组合适的参数至关重要。对于中型网络,从0.02到0.2的概率似乎比过小或过大的概率更好。与其他最优算法相比,该算法在成功率,树代价,交换的消息数量和收敛时间方面都具有更好的性能。

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