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Approximation Algorithms for the Min-Power Symmetric Connectivity Problem

机译:MIN-POUPLY对称连接问题的近似算法

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We consider the NP-hard problem of synthesis of optimal spanning communication subgraph in a given arbitrary simple edge-weighted graph. This problem occurs in the wireless networks while minimizing the total transmission power consumptions. We propose several new heuristics based on the variable neighborhood search metaheuristic for the approximation solution of the problem. We have performed a numerical experiment where all proposed algorithms have been executed on the randomly generated test samples. For these instances, on average, our algorithms outperform the previously known heuristics.
机译:在给定的任意简单边缘加权图中,我们考虑合成最佳跨越通信子图的NP难题。在无线网络中发生此问题,同时最小化总传输功耗。我们提出了几种新的启发式基于变量邻域搜索成群化的问题,用于解决问题的近似解。我们已经进行了一个数值实验,其中已经在随机生成的测试样本上执行了所有提出的算法。对于这些实例,平均而言,我们的算法优于先前已知的启发式。

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