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Network-Tree Model and Shortest Path Algorithm

机译:网络树模型和最短路径算法

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摘要

For the first time, this paper proposes the Network-Tree Model (NTM), route optimization theory and wholly new, high performance algorithm for shortest path calculation in large-scale network. We first decompose the network into a set of sub-networks by adopting the idea of multi-hierarchy partition and anomalistic regional partition, and then construct the NTM and the Expanded NTM. The Network-Tree Shortest Path (NTSP) algorithm presented in this paper narrows the searching space of the route optimization within a few sub-networks, so it greatly reduces the requirements for main memory and improves the computational efficiency compared to traditional algorithms. Experiment results based on grid network show that NTSP algorithm achieves much higher computational performance than Dijkstra algorithm and other hierarchical shortest path algorithms.
机译:本文首次提出了网络树模型(NTM),路由优化理论和全新的高性能算法,用于大规模网络中的最短路径计算。我们首先通过采用多层次分区和异常区域分区的思想将网络分解为一组子网,然后构造NTM和扩展NTM。本文提出的网络树最短路径(NTSP)算法缩小了几个子网内路由优化的搜索空间,因此与传统算法相比,它大大减少了对主内存的需求,并提高了计算效率。基于网格网络的实验结果表明,NTSP算法比Dijkstra算法和其他分层最短路径算法具有更高的计算性能。

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