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Solving the Problem of the Link Optimizing and Delay-constrained Multicast Routing Based on GA

机译:解决基于遗传算法的链路优化与时延受限组播路由问题

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In this paper, we investigate the problem of multicast routing in IP network with the link cost and delay-constrained. For the limitation of OSPF (open short path first) net protocol, the unbalance use of link often results in the congestion in the larger scale network. Our contribution is that we consider the multicast routing problem taking into consideration the congestion due to the unbalance use of link, and we present a improved genetic algorithm to solving the problem of the multicast routing. The genetic algorithm begins from a least-delay tree, then iteratively replaces expensive tree links with cheaper links during the crossover, and gets final multicast tree satisfied delay constraint. Through extensive simulation experiments, we result show that the proposed genetic algorithm can perform better in terms of delay an running time, and construct optimal delay-constrained multicast tree efficiently
机译:在本文中,我们调查了IP网络中的多播路由与链路成本和延迟约束的问题。为了限制OSPF(开放式短路径第一)网络协议,链接的不平衡使用通常导致较大刻度网络中的拥塞。我们的贡献是考虑到由于不平衡使用引起的多播路由问题,我们提出了一种改进的遗传算法来解决多播路由的问题。遗传算法从最小延迟树开始,然后迭代地替换交叉期间具有更便宜的链路的昂贵的树链接,并获得最终的多播树满足延迟约束。通过广泛的仿真实验,我们的结果表明,所提出的遗传算法可以在延迟运行时间方面表现更好,并有效地构造最佳延迟约束多播树

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