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Dynamic Network Planning of Underground Logistics System on Uncertainty Graph

机译：地下物流系统上不确定性图的动态网络规划

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摘要

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.
机译：在设计地下物流系统时，有必要考虑物流节点，高成本和高风险的不确定性。本文采用了不确定图和动态规划理论，解决了地下物流系统的网络规划问题。首先，我们提出了不确定性测量矩阵和顶点结构不确定图的概念，通过使用不确定性测量和不确定图。其次，基于我们提出的顶点结构不确定性图和物流节点的不确定性，构建了地下物流系统的顶点结构的不确定性图。第三，建立了地下物流系统的动态编程模型，其解决方案算法还通过改善模拟退火而设计。最后，通过使用中国南京市仙林区地下物流系统的数值例子来验证该方法的正确性和可行性。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第22期|1979275.1-1979275.13|共13页
  • 作者

    Zhong YiHua; Luo ShiMing; Bao Min; Lv XiaoDie;

  • 作者单位

    Southwest Petr Univ Sch Sci Chengdu 610500 Sichuan Peoples R China;

    Southwest Petr Univ Sch Sci Chengdu 610500 Sichuan Peoples R China|Neijiang Sixth Middle Sch Neijiang 641100 Sichuan Peoples R China;

    Southwest Petr Univ Sch Sci Chengdu 610500 Sichuan Peoples R China;

    Southwest Petr Univ Sch Sci Chengdu 610500 Sichuan Peoples R China|Neijiang Normal Univ Sch Math & Informat Sci Neijiang 641100 Sichuan Peoples R China;

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