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A Two-Stage Genetic Algorithm for the Multi-multicast Routing

机译:一种多播路由的两级遗传算法

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The multi-multicast routing problem is to find a set of multicasts which allows transmission and routing of packets from many sources to many destinations. Due to the amount of residual bandwidth of a link, the problem becomes complicated. This paper presents an approach to solve the problem based on a two-stage genetic algorithm. The problem is decomposed into two objectives, the primary objective is to find a multicast group from a source to its destinations satisfied bandwidth and delay constraints, and the secondary objective is to find an optimal combinatorial solution in all multicasts. For the objectives, two evolving modules are designed. In the first module a method of encoding tree-like chromosome, and corresponding crossover and mutation operator are presented. The numerical simulation shows that the algorithm is efficient to solve the multi-multicast routing problem.
机译:多播路由问题是找到一组多播,其允许从许多来源传输和路由到许多目的地。由于链接的残余带宽量,问题变得复杂。本文介绍了一种解决基于两阶段遗传算法的问题的方法。问题是分解成两个目标,主要目标是从源到其目的地的源头找到多播组满意的带宽和延迟约束,并且次要目标是在所有多播中找到最佳组合解决方案。对于目标,设计了两个不断发展的模块。在第一模块中,呈现了一种编码树状染色体的方法,以及相应的交叉和突变算子。数值模拟表明该算法有效地解决了多播路由问题。

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