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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| Cites_doi | 10.1016/j.trc.2015.03.005 10.1016/j.ress.2017.07.017 10.1016/j.ress.2020.107069 10.1016/j.ijpe.2019.01.010 10.1016/j.ejor.2019.10.042 10.1016/j.ress.2018.11.006 10.1016/j.ejor.2020.11.015 10.1016/j.ijpe.2017.03.024 10.1109/TASE.2013.2279544 10.1016/j.ress.2019.04.010 10.1109/TII.2019.2912427 10.1016/j.ress.2019.106496 10.1016/j.ress.2021.108225 10.1109/TASE.2019.2931894 10.1016/j.trc.2018.03.025 10.1016/j.ejor.2021.02.043 10.1371/journal.pone.0155176 10.1016/j.ress.2020.107132 10.1016/j.ress.2021.107716 10.1016/j.ress.2018.02.017 10.1016/j.ijdrr.2018.02.020 10.1016/j.ejor.2018.05.058 10.1016/j.ress.2018.05.004 10.1109/TSTE.2020.2986586 10.1109/TR.2017.2740330 10.1016/j.eswa.2018.03.032 10.1287/trsc.1050.0135 10.1016/j.apm.2019.11.020 10.1016/j.ejor.2018.06.032 10.1016/j.ress.2019.106778 10.1016/j.ress.2021.108086 |
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| References | Wang, Zhao, Tian (bib0018) 2021; 16 Levitin, Xing, Dai (bib0035) 2022; 218 Zhao, Fan, Qiu (bib0039) 2021; 295 Yong, Lee (bib0010) 2018; 104 Yang, Li, Zhang, Ma, Zhao (bib0026) 2021; 12 Jeong, Song, Lee (bib0015) 2019; 214 Yang, Zhao, Peng (bib0019) 2018; 174 Levitin, Xing, Luo (bib0029) 2019; 183 Shaw P. A new local search algorithm providing high quality solutions to vehicle routing problems. 1997. Qiu, Cui, Wu (bib0025) 2020; 203 Chowdhury, Emelogu, Marufuzzaman (bib0006) 2017; 188 Levitin, Finkelstein, Xiang (bib0031) 2020; 208 Moshref-Javadi, Hemmati, Winkenbach (bib0004) 2019; 80 Wu, Yan, Peng (bib0020) 2020; 196 Zhao, Chai, Sun (bib0036) 2020 Levitin, Xing, Dai (bib0034) 2022; 219 Yang, Sun, Ye (bib0021) 2019; 16 Levitin, Finkelstein, Xiang (bib0032) 2020; 283 Levitin, Finkelstein, Dai (bib0030) 2019; 193 Ropke, Pisinger (bib0016) 2006; 40 Peng (bib0008) 2018; 177 Rabta, Wankmüller, Reiner (bib0001) 2018; 28 Ham (bib0011) 2018; 91 Sundar, Rathinam (bib0007) 2014; 11 Qiu, Cui (bib0023) 2019; 190 Nils, Stefan, Felix (bib0012) 2018; 271 Kou, Xiao, Cao (bib0013) 2021; 129 Moshref-Javadi, Lee, Winkenbach (bib0014) 2020 Zhao, Chai, Sun (bib0037) 2021; 212 Qiu, Cui (bib0022) 2019; 189 Levitin, Xing, Xiang (bib0033) 2021; 214 Hwan, Maxim, Gregory (bib0024) 2018; 271 Zhu, Yan, Peng (bib0009) 2020; 204 Zhao, Sun, Qiu (bib0038) 2020; 292 Levitin, Finkelstein (bib0027) 2018; 169 Wen, Zhang, Wong (bib0005) 2016; 11 Murray, Chu (bib0002) 2015; 54 Levitin, Xing, Dai (bib0028) 2017; 67 Manyam, Sundar, Casbeer (bib0003) 2020; 17 Levitin (10.1016/j.ress.2022.108457_bib0034) 2022; 219 Peng (10.1016/j.ress.2022.108457_bib0008) 2018; 177 Kou (10.1016/j.ress.2022.108457_bib0013) 2021; 129 Qiu (10.1016/j.ress.2022.108457_bib0023) 2019; 190 Zhu (10.1016/j.ress.2022.108457_bib0009) 2020; 204 Zhao (10.1016/j.ress.2022.108457_bib0038) 2020; 292 Levitin (10.1016/j.ress.2022.108457_bib0030) 2019; 193 Levitin (10.1016/j.ress.2022.108457_bib0027) 2018; 169 Levitin (10.1016/j.ress.2022.108457_bib0028) 2017; 67 Chowdhury (10.1016/j.ress.2022.108457_bib0006) 2017; 188 Yang (10.1016/j.ress.2022.108457_bib0019) 2018; 174 Wang (10.1016/j.ress.2022.108457_bib0018) 2021; 16 Zhao (10.1016/j.ress.2022.108457_bib0036) 2020 10.1016/j.ress.2022.108457_bib0017 Yang (10.1016/j.ress.2022.108457_bib0021) 2019; 16 Wen (10.1016/j.ress.2022.108457_bib0005) 2016; 11 Rabta (10.1016/j.ress.2022.108457_bib0001) 2018; 28 Jeong (10.1016/j.ress.2022.108457_bib0015) 2019; 214 Hwan (10.1016/j.ress.2022.108457_bib0024) 2018; 271 Levitin (10.1016/j.ress.2022.108457_bib0032) 2020; 283 Qiu (10.1016/j.ress.2022.108457_bib0025) 2020; 203 Murray (10.1016/j.ress.2022.108457_bib0002) 2015; 54 Zhao (10.1016/j.ress.2022.108457_bib0039) 2021; 295 Moshref-Javadi (10.1016/j.ress.2022.108457_bib0004) 2019; 80 Manyam (10.1016/j.ress.2022.108457_bib0003) 2020; 17 Sundar (10.1016/j.ress.2022.108457_bib0007) 2014; 11 Moshref-Javadi (10.1016/j.ress.2022.108457_bib0014) 2020 Nils (10.1016/j.ress.2022.108457_bib0012) 2018; 271 Levitin (10.1016/j.ress.2022.108457_bib0033) 2021; 214 Ham (10.1016/j.ress.2022.108457_bib0011) 2018; 91 Yong (10.1016/j.ress.2022.108457_bib0010) 2018; 104 Yang (10.1016/j.ress.2022.108457_bib0026) 2021; 12 Zhao (10.1016/j.ress.2022.108457_bib0037) 2021; 212 Wu (10.1016/j.ress.2022.108457_bib0020) 2020; 196 Ropke (10.1016/j.ress.2022.108457_bib0016) 2006; 40 Levitin (10.1016/j.ress.2022.108457_bib0035) 2022; 218 Qiu (10.1016/j.ress.2022.108457_bib0022) 2019; 189 Levitin (10.1016/j.ress.2022.108457_bib0029) 2019; 183 Levitin (10.1016/j.ress.2022.108457_bib0031) 2020; 208 |
| References_xml | – volume: 174 start-page: 130 year: 2018 end-page: 140 ident: bib0019 article-title: Hybrid preventive maintenance of competing failures under random environment publication-title: Reliab Eng Syst Saf – volume: 193 year: 2019 ident: bib0030 article-title: Mission abort policy optimization for series systems with overlapping primary and rescue subsystems operating in a random environment publication-title: Reliab Eng Syst Saf – volume: 129 year: 2021 ident: bib0013 article-title: Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization publication-title: Automatica – volume: 214 start-page: 220 year: 2019 end-page: 233 ident: bib0015 article-title: Truck-drone hybrid delivery routing: payload-energy dependency and no-fly zones publication-title: Int J Prod Econ – volume: 292 start-page: 610 year: 2020 end-page: 621 ident: bib0038 article-title: Optimal inspection and mission abort policies for systems subject to degradation publication-title: Eur J Oper Res – volume: 17 start-page: 537 year: 2020 end-page: 547 ident: bib0003 article-title: Cooperative routing for an air–ground vehicle team—exact algorithm, transformation method, and heuristics publication-title: IEEE Trans Autom Sci Eng – start-page: 136 year: 2020 ident: bib0014 article-title: Design and evaluation of a multi-trip delivery model with truck and drones publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 16 year: 2021 ident: bib0018 article-title: Optimal mission abort policy with multiple abort criteria for a balanced system with multi-state components publication-title: Comput Ind Eng – volume: 183 start-page: 29 year: 2019 end-page: 38 ident: bib0029 article-title: Influence of failure propagation on mission abort policy in heterogeneous warm standby systems publication-title: Reliab Eng Syst Saf – volume: 283 start-page: 244 year: 2020 end-page: 252 ident: bib0032 article-title: Optimal aborting rule in multi-attempt missions performed by multicomponent systems publication-title: Eur J Oper Res – volume: 271 start-page: 818 year: 2018 end-page: 825 ident: bib0024 article-title: Optimal mission abort policy for partially repairable heterogeneous systems publication-title: Eur J Oper Res – volume: 214 year: 2021 ident: bib0033 article-title: Partial mission aborting in work sharing systems publication-title: Reliab Eng Syst Saf – volume: 208 year: 2020 ident: bib0031 article-title: Optimal aborting strategy for three-phase missions performed by multiple units publication-title: Reliab Eng Syst Saf – volume: 80 start-page: 290 year: 2019 end-page: 318 ident: bib0004 article-title: A truck and drones model for last-mile delivery: a mathematical model and heuristic approach publication-title: Appl Math Model – volume: 40 start-page: 455 year: 2006 end-page: 472 ident: bib0016 article-title: An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows publication-title: Transportation Science – volume: 204 year: 2020 ident: bib0009 article-title: Optimal routing, loading and aborting of UAVs executing both visiting tasks and transportation tasks publication-title: Reliab Eng Syst Saf – volume: 104 start-page: 307 year: 2018 end-page: 317 ident: bib0010 article-title: Optimal delivery routing with wider drone-delivery areas along a shorter truck-route publication-title: Expert Syst Appl – volume: 28 start-page: 107 year: 2018 end-page: 112 ident: bib0001 article-title: A drone fleet model for last-mile distribution in disaster relief operations publication-title: Int J Disaster Risk Reduction – volume: 188 start-page: 167 year: 2017 end-page: 184 ident: bib0006 article-title: Drones for disaster response and relief operations: a continuous approximation model publication-title: Int J Prod Econ – volume: 12 start-page: 211 year: 2021 end-page: 221 ident: bib0026 article-title: Operations & maintenance optimization of wind turbines integrating wind and aging information publication-title: IEEE Trans Sustainable Energy – start-page: 205 year: 2020 ident: bib0036 article-title: Optimal bivariate mission abort policy for systems operate in random shock environment publication-title: Reliab Eng Syst Saf – volume: 295 start-page: 233 year: 2021 end-page: 245 ident: bib0039 article-title: Multi-criteria mission abort policy for systems subject to two-stage degradation process publication-title: Eur J Oper Res – volume: 11 start-page: 287 year: 2014 end-page: 294 ident: bib0007 article-title: Algorithms for routing an unmanned aerial vehicle in the presence of refueling depots publication-title: IEEE Transac Automat Sci Engin – volume: 11 year: 2016 ident: bib0005 article-title: Multi-objective algorithm for blood supply via unmanned aerial vehicles to the wounded in an emergency situation publication-title: PLoS One – volume: 189 start-page: 11 year: 2019 end-page: 20 ident: bib0022 article-title: Optimal mission abort policy for systems subject to random shocks based on virtual age process publication-title: Reliab Eng Syst Saf – volume: 91 start-page: 1 year: 2018 end-page: 14 ident: bib0011 article-title: Integrated scheduling of m-truck, m-drone, and m-depot constrained by time-window, drop-pickup, and m-visit using constraint programming publication-title: Trans Res Part C Emerg Technol – volume: 190 year: 2019 ident: bib0023 article-title: Gamma process based optimal mission abort policy publication-title: Reliab Eng Syst Saf – volume: 203 year: 2020 ident: bib0025 article-title: Dynamic mission abort policy for systems operating in a controllable environment with self-healing mechanism publication-title: Reliab Eng Syst Saf – volume: 169 start-page: 11 year: 2018 end-page: 17 ident: bib0027 article-title: Optimal mission abort policy for systems in a random environment with variable shock rate publication-title: Reliab Eng Syst Saf – volume: 219 year: 2022 ident: bib0034 article-title: Mission aborting and system rescue for multi-state systems with arbitrary structure publication-title: Reliab Eng Syst Saf – volume: 196 year: 2020 ident: bib0020 article-title: Risk-attitude-based defense strategy considering proactive strike, preventive strike and imperfect false targets publication-title: Reliability Engineering and System Safety – reference: Shaw P. A new local search algorithm providing high quality solutions to vehicle routing problems. 1997. – volume: 67 start-page: 342 year: 2017 end-page: 354 ident: bib0028 article-title: Mission abort policy in heterogeneous nonrepairable 1-out-of-N warm standby systems publication-title: IEEE Trans Reliab – volume: 212 year: 2021 ident: bib0037 article-title: Joint optimization of mission abort and component switching policies for multistate warm standby systems publication-title: Reliab Eng Syst Saf – volume: 54 start-page: 86 year: 2015 end-page: 109 ident: bib0002 article-title: The flying sidekick traveling salesman problem: optimization of drone-assisted parcel delivery publication-title: Trans Res Part C Emerg Technol – volume: 177 start-page: 131 year: 2018 end-page: 137 ident: bib0008 article-title: Joint routing and aborting optimization of cooperative unmanned aerial vehicles publication-title: Reliab Eng Syst Saf – volume: 271 start-page: 1085 year: 2018 end-page: 1099 ident: bib0012 article-title: Scheduling last-mile deliveries with truck-based autonomous robots publication-title: Eur J Oper Res – volume: 218 year: 2022 ident: bib0035 article-title: Optimal mission aborting in multistate systems with storage publication-title: Reliab Eng Syst Saf – volume: 16 start-page: 277 year: 2019 end-page: 287 ident: bib0021 article-title: Designing mission abort strategies based on early-warning information: application to UAV publication-title: IEEE Trans Ind Inf – volume: 54 start-page: 86 year: 2015 ident: 10.1016/j.ress.2022.108457_bib0002 article-title: The flying sidekick traveling salesman problem: optimization of drone-assisted parcel delivery publication-title: Trans Res Part C Emerg Technol doi: 10.1016/j.trc.2015.03.005 – volume: 169 start-page: 11 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0027 article-title: Optimal mission abort policy for systems in a random environment with variable shock rate publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2017.07.017 – volume: 203 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0025 article-title: Dynamic mission abort policy for systems operating in a controllable environment with self-healing mechanism publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.107069 – ident: 10.1016/j.ress.2022.108457_bib0017 – volume: 214 start-page: 220 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0015 article-title: Truck-drone hybrid delivery routing: payload-energy dependency and no-fly zones publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2019.01.010 – volume: 283 start-page: 244 issue: 1 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0032 article-title: Optimal aborting rule in multi-attempt missions performed by multicomponent systems publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2019.10.042 – volume: 183 start-page: 29 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0029 article-title: Influence of failure propagation on mission abort policy in heterogeneous warm standby systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2018.11.006 – volume: 292 start-page: 610 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0038 article-title: Optimal inspection and mission abort policies for systems subject to degradation publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2020.11.015 – volume: 193 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0030 article-title: Mission abort policy optimization for series systems with overlapping primary and rescue subsystems operating in a random environment publication-title: Reliab Eng Syst Saf – volume: 188 start-page: 167 year: 2017 ident: 10.1016/j.ress.2022.108457_bib0006 article-title: Drones for disaster response and relief operations: a continuous approximation model publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2017.03.024 – volume: 11 start-page: 287 issue: 1 year: 2014 ident: 10.1016/j.ress.2022.108457_bib0007 article-title: Algorithms for routing an unmanned aerial vehicle in the presence of refueling depots publication-title: IEEE Transac Automat Sci Engin doi: 10.1109/TASE.2013.2279544 – volume: 189 start-page: 11 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0022 article-title: Optimal mission abort policy for systems subject to random shocks based on virtual age process publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.04.010 – volume: 16 start-page: 277 issue: 1 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0021 article-title: Designing mission abort strategies based on early-warning information: application to UAV publication-title: IEEE Trans Ind Inf doi: 10.1109/TII.2019.2912427 – volume: 190 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0023 article-title: Gamma process based optimal mission abort policy publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.106496 – volume: 219 year: 2022 ident: 10.1016/j.ress.2022.108457_bib0034 article-title: Mission aborting and system rescue for multi-state systems with arbitrary structure publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108225 – volume: 17 start-page: 537 issue: 1 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0003 article-title: Cooperative routing for an air–ground vehicle team—exact algorithm, transformation method, and heuristics publication-title: IEEE Trans Autom Sci Eng doi: 10.1109/TASE.2019.2931894 – volume: 91 start-page: 1 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0011 article-title: Integrated scheduling of m-truck, m-drone, and m-depot constrained by time-window, drop-pickup, and m-visit using constraint programming publication-title: Trans Res Part C Emerg Technol doi: 10.1016/j.trc.2018.03.025 – volume: 129 issue: 5 year: 2021 ident: 10.1016/j.ress.2022.108457_bib0013 article-title: Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization publication-title: Automatica – volume: 212 issue: 6 year: 2021 ident: 10.1016/j.ress.2022.108457_bib0037 article-title: Joint optimization of mission abort and component switching policies for multistate warm standby systems publication-title: Reliab Eng Syst Saf – volume: 295 start-page: 233 year: 2021 ident: 10.1016/j.ress.2022.108457_bib0039 article-title: Multi-criteria mission abort policy for systems subject to two-stage degradation process publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2021.02.043 – volume: 16 year: 2021 ident: 10.1016/j.ress.2022.108457_bib0018 article-title: Optimal mission abort policy with multiple abort criteria for a balanced system with multi-state components publication-title: Comput Ind Eng – volume: 11 issue: 5 year: 2016 ident: 10.1016/j.ress.2022.108457_bib0005 article-title: Multi-objective algorithm for blood supply via unmanned aerial vehicles to the wounded in an emergency situation publication-title: PLoS One doi: 10.1371/journal.pone.0155176 – volume: 204 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0009 article-title: Optimal routing, loading and aborting of UAVs executing both visiting tasks and transportation tasks publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.107132 – volume: 214 year: 2021 ident: 10.1016/j.ress.2022.108457_bib0033 article-title: Partial mission aborting in work sharing systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107716 – volume: 174 start-page: 130 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0019 article-title: Hybrid preventive maintenance of competing failures under random environment publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2018.02.017 – volume: 28 start-page: 107 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0001 article-title: A drone fleet model for last-mile distribution in disaster relief operations publication-title: Int J Disaster Risk Reduction doi: 10.1016/j.ijdrr.2018.02.020 – volume: 271 start-page: 1085 issue: 3 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0012 article-title: Scheduling last-mile deliveries with truck-based autonomous robots publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2018.05.058 – volume: 177 start-page: 131 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0008 article-title: Joint routing and aborting optimization of cooperative unmanned aerial vehicles publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2018.05.004 – volume: 12 start-page: 211 issue: 1 year: 2021 ident: 10.1016/j.ress.2022.108457_bib0026 article-title: Operations & maintenance optimization of wind turbines integrating wind and aging information publication-title: IEEE Trans Sustainable Energy doi: 10.1109/TSTE.2020.2986586 – volume: 67 start-page: 342 issue: 1 year: 2017 ident: 10.1016/j.ress.2022.108457_bib0028 article-title: Mission abort policy in heterogeneous nonrepairable 1-out-of-N warm standby systems publication-title: IEEE Trans Reliab doi: 10.1109/TR.2017.2740330 – start-page: 205 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0036 article-title: Optimal bivariate mission abort policy for systems operate in random shock environment publication-title: Reliab Eng Syst Saf – volume: 104 start-page: 307 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0010 article-title: Optimal delivery routing with wider drone-delivery areas along a shorter truck-route publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2018.03.032 – volume: 208 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0031 article-title: Optimal aborting strategy for three-phase missions performed by multiple units publication-title: Reliab Eng Syst Saf – volume: 40 start-page: 455 issue: 4 year: 2006 ident: 10.1016/j.ress.2022.108457_bib0016 article-title: An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows publication-title: Transportation Science doi: 10.1287/trsc.1050.0135 – volume: 80 start-page: 290 year: 2019 ident: 10.1016/j.ress.2022.108457_bib0004 article-title: A truck and drones model for last-mile delivery: a mathematical model and heuristic approach publication-title: Appl Math Model doi: 10.1016/j.apm.2019.11.020 – volume: 271 start-page: 818 issue: 3 year: 2018 ident: 10.1016/j.ress.2022.108457_bib0024 article-title: Optimal mission abort policy for partially repairable heterogeneous systems publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2018.06.032 – volume: 196 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0020 article-title: Risk-attitude-based defense strategy considering proactive strike, preventive strike and imperfect false targets publication-title: Reliability Engineering and System Safety doi: 10.1016/j.ress.2019.106778 – start-page: 136 year: 2020 ident: 10.1016/j.ress.2022.108457_bib0014 article-title: Design and evaluation of a multi-trip delivery model with truck and drones publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 218 year: 2022 ident: 10.1016/j.ress.2022.108457_bib0035 article-title: Optimal mission aborting in multistate systems with storage publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108086 |
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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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