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Solving electric vehicle-drone routing problem using memetic algorithm
DOI:10.1016/j.swevo.2023.101295.png)
摘要
En 中文
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.
Keyword:
Vehicle routing problem with drones
Electric vehicles
Unmanned aerial vehicles
Last-mile logistics
Future transportation systems
Memetic algorithm
期刊
IF:
8.5
论文数:
2.2K
被引数:
1.0W
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引用论文
Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic疫情期间非接触式包裹投递的卡车-无人机协同路由
Electric vehicle routing problem: A systematic review and a new comprehensive model with nonlinear energy recharging and consumption电动汽车路径问题: 系统回顾和具有非线性能量再充电和消耗的新综合模型
The vehicle routing problem with drones: Extended models and connections无人机的车辆路径问题: 扩展模型和连接
NETWORKS
IF1.3

