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The hybrid vehicle-drone routing problem for pick-up and delivery services

机译:接送服务的混合车辆-无人机路线问题

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This paper presents a mathematical formulation and efficient solution methodology for the hybrid vehicle-drone routing problem (HVDRP) for pick-up and delivery services. The problem is formulated as a mixed-integer program, which minimizes the vehicle and drone routing cost to serve all customers. The formulation captures the vehicle-drone routing interactions during the drone dispatching and collection processes and accounts for drone operation constraints related to flight range and load carrying capacity limitations. A novel solution methodology is developed which extends the classic Clarke and Wright algorithm to solve the HVDRP. The performance of the developed heuristic is benchmarked against two other heuristics, namely, the vehicle-driven routing heuristic and the drone-driven routing heuristic. A set of experiments are conducted to evaluate the performance of the developed heuristics and to illustrate the capability of the developed model in answering a wide variety of questions related to the planning of the vehicle-drone delivery system.
机译:本文为接送服务的混合动力车辆-无人机路线问题(HVDRP)提出了数学公式和有效的解决方法。该问题被表述为混合整数程序,该程序可以最大程度地减少为所有客户提供服务的车辆和无人机路由成本。该公式捕获了无人机分配和收集过程中的车辆-无人机路线交互,并说明了与飞行范围和载重能力限制有关的无人机操作约束。开发了一种新颖的解决方案方法,该方法扩展了经典的Clarke和Wright算法来解决HVDRP。已开发的启发式算法的性能以其他两种启发式算法为基准,分别是车辆驱动的路由启发式算法和无人机驱动的路由启发式算法。进行了一组实验,以评估已开发的启发式方法的性能,并说明已开发的模型在回答与车辆无人驾驶系统的规划有关的各种问题时的能力。

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