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A new exact algorithm for the shortest path problem: An optimized shortest distance matrix

机译:一种新的最短路径问题的精确算法:优化的最短距离矩阵

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摘要

The growing amount of data generated from the increasingly sophisticated network connections requires greater accuracy and higher efficiency in pinpointing the shortest paths concerned. Therefore, the earlier classical exact algorithms are no longer 100 percent suitable for large-scale data processing, for their known great time complexity during calculation. In this paper, We present an updated shortest distance matrix (SDM) algorithm. Evidence to the operation's properties is provided and the properties are used in subsequent optimizations. Compared with Dijkstra's algorithm and Floyd's algorithm, the optimized SDM algorithm with parallel mode makes a great improvement in shortening the running time. The data test shows that the new algorithm improves the efficiency in processing a large amount of data.
机译:从越来越复杂的网络连接产生的越来越多的数据需要更高的准确性和更高的效率,可以针对有关的最短路径。 因此,早期的经典精确算法不再适用于大规模数据处理100%,因为它们在计算期间已知的巨大时间复杂性。 在本文中,我们介绍了更新的最短距离矩阵(SDM)算法。 提供了对操作的证据,并在后续优化中使用该属性。 与Dijkstra的算法和Floyd算法相比,具有并行模式的优化SDM算法在缩短运行时间方面具有很大的改进。 数据测试表明,新算法提高了处理大量数据的效率。

著录项

  • 来源
    《Computers & Industrial Engineering》 |2021年第8期|107407.1-107407.16|共16页
  • 作者单位

    College of Management Northeastern University at Qinhuangdao Qinhuangdao 066004 China;

    College of Information Science and Engineering Northeastern University Shenyang 110819 China;

    College of Information Science and Engineering Northeastern University Shenyang 110819 China;

    College of Information Science and Engineering Northeastern University Shenyang 110819 China;

    College of Information Science and Engineering Northeastern University Shenyang 110819 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Graph theory; Shortest path; Multiple pairs; Algebraic method; Shortest distance matrix;

    机译:图论;最短路径;多对;代数方法;最短距离矩阵;
  • 入库时间 2022-08-19 02:31:30

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