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QoS multicast routing based on a heuristic genetic algorithm

机译:基于启发式遗传算法的QoS组播路由

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The problem of computing the bandwidth-delay-constrained least-cost QoS multicast routing is an NP-complete problem. We present a new efficient heuristic algorithm for the QoS multicast routing that depends on bounded end-to-end delay and link bandwidth along the path from the source to each destinations, and minimum cost of Steiner tree. In this algorithm, the modified determinant encoding is used for genotype representation. The major objectives of this study are: to modify the determinant encoding to be suitable for the QoS-constrained Steiner tree problems; to propose a new algorithm for repairing determinant codes for Steiner tree algorithms; to develop a new heuristic GA-based solution to the QoS multicast routing problem with modified determinant encoding and new proposed repair function. To compare the performance of the proposed algorithm with some existing GA-based algorithms, we simulate our algorithm for several networks with different network and multicast sizes. These results show that our proposed algorithm can generate a smaller average tree cost than the mentioned existing algorithms within a reasonable time.
机译:计算带宽延迟约束的最小成本QoS多播路由的问题是NP完全问题。我们为QoS多播路由提出了一种新的高效启发式算法,该算法取决于有限的端到端延迟和从源到每个目的地的路径上的链路​​带宽,以及Steiner树的最低成本。在该算法中,修改后的行列式编码用于基因型表示。这项研究的主要目标是:修改行列式编码以适合QoS约束的Steiner树问题;提出一种新的斯坦纳树算法行列式代码修复算法;通过修改行列式编码和新提出的修复功能,开发一种新的基于启发式遗传算法的QoS组播路由问题解决方案。为了将提出的算法与一些现有的基于GA的算法的性能进行比较,我们针对具有不同网络和多播大小的几个网络模拟了我们的算法。这些结果表明,我们提出的算法可以在合理的时间内产生比所提及的现有算法更小的平均树成本。

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