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Research on Cooperative Scheduling of Automated Quayside Cranes and Automatic Guided Vehicles in Automated Container Terminal

机译：自动化集装箱终端自动码头起重机和自动引导车辆的合作调度研究

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摘要

According to previous research studies, automated quayside cranes (AQCs) and automated guided vehicles (AGVs) in automated container terminals have a high potential synergy. In this paper, a collaborative scheduling model for AQCs and AGVs is established and the capacity limitation of the transfer platform on AQCs is considered in the model. The minimum total energy consumption of automated quayside cranes (AQCs) and Automatic Guided Vehicles (AGVs) is taken as the objective function. A two-stage taboo search algorithm is adopted to solve the problem of collaborative scheduling optimization. This algorithm integrates AQC scheduling and AGV scheduling. The optimal solution to the model is obtained by feedback from the two-stage taboo search process. Finally, the Qingdao Port is taken as an example of a data experiment. Ten small size test cases are solved to evaluate the performance of the proposed optimization methods. The results show the applicability of the two-stage taboo search algorithm since it can find near-optimal solutions, precisely and accurately.
机译：根据以前的研究，自动化容器终端中的自动码头起重机（AQCS）和自动化的导向车辆（AGV）具有高潜在的协同作用。在本文中，建立了AQCS和AGV的协作调度模型，在模型中考虑了AQCS上的传输平台的容量限制。自动码头起重机（AQC）和自动引导车辆（AGV）的最小能量消耗作为目标函数。采用了两级禁忌搜索算法来解决协作调度优化问题。该算法集成了AQC调度和AGV调度。通过从两级禁忌搜索过程反馈获得模型的最佳解决方案。最后，Qingdao端口被视为数据实验的示例。解决了十个小尺寸的测试用例，以评估所提出的优化方法的性能。结果表明，两级禁忌搜索算法的适用性，因为它可以精确准确地找到近最佳解决方案。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第22期|6574582.1-6574582.15|共15页
  • 作者

    Zhao Qianru; Ji Shouwen; Guo Dong; Du Xuemin; Wang Hongxuan;

  • 作者单位

    Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100000 Peoples R China|Beijing Jiaotong Univ Haibin Coll Cangzhou 061199 Hebei Peoples R China;

    Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100000 Peoples R China;

    Beijing Univ Civil Engn & Architecture Sch Mech Elect & Vehicle Engn Beijing 100044 Peoples R China;

    Beijing Jiaotong Univ Haibin Coll Cangzhou 061199 Hebei Peoples R China;

    Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100000 Peoples R China;

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