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A modified genetic algorithm for the optimization of aggregated multicast

机译:一种改进的遗传算法,用于优化聚合组播

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The large-scale increase of multicast state is the major factor preventing the wide application of multicast when there are a large number of multicast groups in the network. As a new technology of reducing forwarding states of multicast state, aggregated multicast aims to enable the multicast groups that can be integrated in the network to share one distribution tree, which reduces the number of multicast trees, thus leading to the reduction of forwarding states and improvement of network performance. A modified genetic algorithm is proposed in this paper to optimize aggregated multicast problem. Simulation results indicate that network performance is improved greatly when applying this algorithm.
机译:当网络中存在大量组播组时,组播状态的大规模增加是阻止组播广泛应用的主要因素。聚合组播作为一种减少组播状态转发状态的新技术,旨在使可以集成在网络中的组播组共享一个分发树,从而减少组播树的数量,从而减少转发状态,降低组播数量。改善网络性能。提出了一种改进的遗传算法来优化聚合组播问题。仿真结果表明,应用该算法可以大大提高网络性能。

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