无人机
模因算法
计算机科学
布线(电子设计自动化)
集合(抽象数据类型)
电动汽车
车辆路径问题
整数规划
数学优化
电池(电)
算法
局部搜索(优化)
计算机网络
功率(物理)
数学
物理
生物
量子力学
程序设计语言
遗传学
作者
Setyo Tri Windras Mara,Ruhul Sarker,Daryl Essam,Saber Elsayed
标识
DOI:10.1016/j.swevo.2023.101295
摘要
This paper considers a cooperative system between electric vehicles and drones in last-mile logistics operations. This form of cooperation is presented as electric vehicle–drone routing problem (EVDRP). In EVDRP, a set of electric vehicles are equipped with drones to deliver parcels to a set of customer nodes. Due to the battery limitation of electric vehicles, a set of available recharging stations is considered to recharge the vehicles’ energy and/or to launch and retrieve drones. In this research, a mixed-integer programming model is formulated for EVDRP to minimize the total completion time. To solve the model, a memetic algorithm-based approach with four new problem-specific operators is developed. From comprehensive numerical experiments, the effectiveness of the algorithm is shown, and several useful managerial insights are derived.
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