无人机
可变邻域搜索
计算机科学
解算器
车辆路径问题
元启发式
卡车
布线(电子设计自动化)
整数规划
会合
数学优化
服务(商务)
节点(物理)
运筹学
计算机网络
人工智能
工程类
数学
算法
业务
汽车工程
结构工程
生物
遗传学
航空航天工程
营销
程序设计语言
航天器
作者
R.J. Kuo,Shih‐Hao Lu,Pei-Yu Lai,Setyo Tri Windras Mara
标识
DOI:10.1016/j.eswa.2021.116264
摘要
The cooperation of trucks and unmanned aerial vehicles (UAV) has become a new delivery method in the area of logistics and transportation. In this form of cooperation, the trucks are not only able to provide services to the customers, but also serve as a ‘launch pad’ for the drones, in which the drones can be launched to service a customer and then recovered at the rendezvous node. This study intends to explore this cooperation by developing a model for the vehicle routing problem with drones that considers the presence of customer time windows (VRPTWD). A mixed-integer programming (MIP) model is presented to minimize the total travelling costs. Then, a simple yet effective variable neighborhood search (VNS) procedure with a novel solution representation is proposed as a solver. The numerical results indicate the ability of the proposed VNS to solve the VRPTWD, as well as the improvement of delivery performance using drones.
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