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Differential evolution algorithm for QoS multicast routing

机译:QoS组播路由的差分进化算法

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Computing the multi-constrained least-cost multicast routing tree is an NP-complete problem. In order to solve the quality of service (QoS) constrained routing effectively and efficiently, the scheme of routing based on differential evolution (DE) is proposed. The individuals of the multicast tree which adopt path coding according to the characters of real coding of DE are optimized by mutation and competitive survival strategy. In this paper, the effect of main parameters of DE on the performance of multicast routing algorithm is analyzed. We evaluate the performance and efficiency of the DE algorithm in comparison with the genetic algorithm(GA) by the result of simulation. The DE algorithm is proved to be more probable to find a global optimal solution and to achieve faster convergence.
机译:计算多约束最小开销组播路由树是一个NP完全问题。为了有效,高效地解决服务质量(QoS)约束路由问题,提出了一种基于差分演化(DE)的路由方案。通过变异和竞争生存策略,根据DE的真实编码特点,对采用路径编码的组播树个体进行优化。本文分析了DE的主要参数对组播路由算法性能的影响。通过仿真结果,比较了遗传算法(DE)和遗传算法(DE)的性能和效率。事实证明,DE算法更有可能找到全局最优解并实现更快的收敛。

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