旅行商问题
无人机
解算器
作业车间调度
计算机科学
机器人
数学优化
卡车
整数规划
线性规划
工程类
数学
布线(电子设计自动化)
人工智能
计算机网络
航空航天工程
生物
遗传学
作者
Daniel Schermer,Mahdi Moeini,Oliver Wendt
标识
DOI:10.24251/hicss.2020.161
摘要
In this paper, we study the Drone-Assisted Traveling Salesman Problem with Robot Stations (TSP-D-RS). Specifically, we assume that there is a single truck that is equipped with a drone, and one or more potential sites of stations that might accommodate some robots. The TSP-D-RS asks for a valid route of the truck as well as feasible utilization of the drone and robots, such that all customers are served and minimal delivery time (makespan) or cost is accomplished. We provide a Mixed Integer Linear Programming formulation of the problem and perform a detailed numerical study. Through our numerical results, it is revealed that our formulation can be effectively addressed by a state-of-the-art solver. In addition, we demonstrate that optimizing the makespan coincides with reduced costs. In contrast, optimizing the operational costs might increase the makespan significantly. Furthermore, depending on the objective function, the operational utilization of the vehicles differs.
科研通智能强力驱动
Strongly Powered by AbleSci AI