首页  -   学术科研  -   研究前沿

研究前沿

颜瑞:随机攻击下卡车和无人机的最优路线和中止策略

研究成果:Optimal routes and aborting strategies of trucks and drones under random attacks

作者:颜瑞(通讯作者)Zhu Xiaoping,朱晓宁,Peng Rui

发表期刊:Reliability Engineering & System SafetyABS3

This paper is an attempt to explore optimal routes and aborting strategies of trucks and drones under random attacks. Time windows of targets, aborting strategies of trucks and random attacks are considered in the truck-drone routes, which not only fixes the shortcomings of drones, such as its small load and short working hours, but also conducts a preliminary survey to gain disaster or enemy information in the field of emergency management or military. It is assumed that drones and trucks may be attacked in the mute and the truck may abort its task according to the number of tasks finished and the number of attacks suffered. In addition, based on a constraint programming model, this paper proposes a hybrid algorithm named ALNS-SP algorithm combined with the adaptive large neighborhood search and the short-path algorithm to solve the vehicle routing problem with trucks and drones considering random attacks problem (VRP-TDA). A test set based on Solomon datasets is designed and comparative numerical experiments are presented to illustrate the performance of the ALNS-SP algorithm.


文献来源:Yan, R., Zhu, X., Zhu, X., & Peng, R. (2022). Optimal routes and aborting strategies of trucks and drones under random attacks. Reliability Engineering & System Safety, 222, 108457