Optimal routes and aborting strategies of trucks and drones under random attacks
•Complex and realistic decision factors are considered in the truck-drone routes.•Convert the drone routing sub-problem into short-path problem.•Comparative experiments are conducted to illustrate different scenarios. This paper is an attempt to explore optimal routes and aborting strategies of truc...
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| Published in: | Reliability engineering & system safety Vol. 222; p. 108457 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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01.06.2022
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| ISSN: | 0951-8320, 1879-0836 |
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| Abstract | •Complex and realistic decision factors are considered in the truck-drone routes.•Convert the drone routing sub-problem into short-path problem.•Comparative experiments are conducted to illustrate different scenarios.
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 route 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. |
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| AbstractList | 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 route 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. •Complex and realistic decision factors are considered in the truck-drone routes.•Convert the drone routing sub-problem into short-path problem.•Comparative experiments are conducted to illustrate different scenarios. 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 route 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. |
| ArticleNumber | 108457 |
| Author | Peng, Rui Yan, Rui Zhu, Xiaoning Zhu, Xiaoping |
| Author_xml | – sequence: 1 givenname: Rui orcidid: 0000-0002-2042-4025 surname: Yan fullname: Yan, Rui email: yanrui@ustb.edu.cn organization: School of Economics and Management, University of Science & Technology Beijing, Beijing 100083, China – sequence: 2 givenname: Xiaoping surname: Zhu fullname: Zhu, Xiaoping organization: School of Economics and Management, University of Science & Technology Beijing, Beijing 100083, China – sequence: 3 givenname: Xiaoning surname: Zhu fullname: Zhu, Xiaoning organization: School of Economics and Management, University of Science & Technology Beijing, Beijing 100083, China – sequence: 4 givenname: Rui surname: Peng fullname: Peng, Rui organization: School of Economics and Management, Beijing University of Technology, Beijing 100124, China |
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| Snippet | •Complex and realistic decision factors are considered in the truck-drone routes.•Convert the drone routing sub-problem into short-path problem.•Comparative... This paper is an attempt to explore optimal routes and aborting strategies of trucks and drones under random attacks. Time windows of targets, aborting... |
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| SubjectTerms | Aborting strategy Algorithms Constraint modelling Drone vehicles Emergency management Emergency preparedness Reliability engineering Route planning Short-path problem Truck and drone Trucks Vehicle routing Vehicle routing problem Working hours |
| Title | Optimal routes and aborting strategies of trucks and drones under random attacks |
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