无人机
商业化
车辆路径问题
布线(电子设计自动化)
功率消耗
计算机科学
运筹学
数学优化
功率(物理)
工程类
业务
数学
计算机网络
营销
物理
生物
量子力学
遗传学
作者
Seongheon Kim,Suhwan Kim
出处
期刊:Logi
[De Gruyter Open]
日期:2022-01-01
卷期号:13 (1): 210-221
被引量:2
标识
DOI:10.2478/logi-2022-0019
摘要
Abstract The drone industry is one of the most important areas of the Fourth Industrial Revolution. In the drone industry, delivery systems using drones are now facing commercialization as they have undergone many experiments and discussions. The purpose of this study is to find the best route in a delivery system using a drone. In this study, we have developed the existing Vehicle Routing Problem (VRP) into a more realistic mathematical model considering the two differences between drones and vehicles; one is that power consumption varies with the weight of the loaded cargo and the other is that velocity is influenced by wind. This study also presents an Ant Colony System (ACS) algorithm to effectively solve VRP, a well-known NP-hard problem. The methodology of this study is quite successful and is expected to enable more realistic and effective routing decisions.
科研通智能强力驱动
Strongly Powered by AbleSci AI