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疫区应急物资供应的卡车-无人机动态协同配送路径优化

刘长石1,2, 吴张3, 周愉峰4, 罗亮3, 周鲜成1,2, 谢小良5   

  1. 1. 湖南工商大学智能工程与智能制造学院, 长沙 410205;
    2. 湘江实验室, 长沙 410205;
    3. 湖南工商大学工商管理学院, 长沙 410205;
    4. 重庆工商大学管理科学与工程学院, 重庆 400067;
    5. 湖南工商大学统计学习与智能计算湖南省重点实验室, 长沙 410205
  • 收稿日期:2022-04-14 修回日期:2022-08-17 发布日期:2022-12-13
  • 通讯作者: 周愉峰, Email: xtuzyf@email.ctbu.edu.cn
  • 基金资助:
    国家自然科学基金重大研究计划集成项目(91846301), 国家自然科学基金面上项目(71972069),教育部人文社会科学研究项目(21YJCZH249), 重庆市自科基金项目(cstc2021jcyj-msxmX0527, cstc2021ycjh-bgzxm0136),湖南省 自科基金一般项目(2021JJ30195, 2019JJ40147),湖南省教育厅项目(18A297, 20A127, 20C0533), 湖南省社科评审委项目(XSP20YBC251),湖南省研究生科研创新项目(CX20221162)资助课题.

刘长石, 吴张, 周愉峰, 罗亮, 周鲜成, 谢小良. 疫区应急物资供应的卡车-无人机动态协同配送路径优化[J]. 系统科学与数学, 2022, 42(11): 3027-3043.

Liu Changshi, Wu Zhang, Zhou Yufeng, Luo Liang, Zhou Xiancheng, Xie Xiaoliang. The Optimization of Dynamic and Cooperative Truck-Drone Distribution Routes for Emergency Supplies Delivery in Pandemic Areas[J]. Journal of Systems Science and Mathematical Sciences, 2022, 42(11): 3027-3043.

The Optimization of Dynamic and Cooperative Truck-Drone Distribution Routes for Emergency Supplies Delivery in Pandemic Areas

Liu Changshi1,2, Wu Zhang3, Zhou Yufeng4, Luo Liang3, Zhou Xiancheng1,2, Xie Xiaoliang5   

  1. 1. School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business, Changsha 410205;
    2. Xiangjiang Laboratory, Changsha 410205;
    3. School of Management, Hunan University of Technology and Business, Changsha 410205;
    4. School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067;
    5. Key Laboratory of Hunan Province for Statistical Learning and Intelligent Computation, Hunan University of Technology and Business, Changshi 410205
  • Received:2022-04-14 Revised:2022-08-17 Published:2022-12-13
研究传染性公共卫生事件发生后疫区的应急物资供应 问题,为避免传染, 对中高风险疫区采用“无接触式”的无人机配送方式、低风险疫区采用卡车配送方式,在此基础上设计疫区应急物资供应的卡车-无人机动态协同配送模式.综合考虑疫区风险级别、无人机容量、飞行距离、卡车容量等因素,以应急物资总配送时间最短为目标,构建卡车-无人机动态协同配送路径规划模型,并设计一种自适应遗传算法求解. 实验结果表明:文章方法能在非常短的时间内求解出符合决策者目标的卡车-无人机动态协同路径规划方案,有效缩短应急物资总配送时间,能为政府部门在重大传染性公共卫生事件下的应急物资配送提供决策参考.
To study the distribution of emergency supplies in epidemic areas after the occurrence of infectious public health events, a “contactless" drone delivery method was adopted in medium-high risk epidemic areas, and a truck delivery method was adopted in low-risk epidemic areas. Then, the dynamic and collaborative truck-drone distribution mode was designed for emergency supplies delivery in epidemic areas. By taking into account the factors such as risk level of the epidemic area, the drone capacity, the drone flight distance and the truck capacity, an optimizing model for the dynamic and collaborative truck-drone distribution routes is formulated. The goal of the model is to minimize the total distribution time of emergency supplies. An adaptive genetic algorithm was designed to solve the proposed problem. The experimental results show that the proposed approaches can obtain the plan of the dynamic and cooperative truck-drone routes in a very short time, effectively shorten the total delivery time of emergency supplies, and provide decision-making reference for government departments in emergency supplies distribution under major infectious public health events.

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