[
[1] Danzig, G.B. & Ramser, J.H. (1959). The truck dispatching problem. Management Science 6(1), 80-91. DOI: 10.1287/mnsc.6.1.80.
]Open DOISearch in Google Scholar
[
[2] Braekers, K., Ramaekers, K. & Van Nieuwenhuyse, I. (2016). The vehicle routing problem: State of the art classification and review. Computers & Industrial Engineering 99, 300-313. DOI: 10.1016/j.cie.2015.12.007.
]Open DOISearch in Google Scholar
[
[3] Otto, A., Agatz, N., Campbell, J., Golden, B. & Pesch, E. (2018). Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: a survey. Networks 72 (4), 411–458. DOI: 10.1002/net.21818.
]Open DOISearch in Google Scholar
[
[4] Amazon.com Inc. (2016). Amazon Prime Air. Retrieved August 25, 2021, from www.amazon.com/primeair
]Search in Google Scholar
[
[5] DHL International GmbH (2014). DHL Parcelcopter Launches Initial Operations for Research Purposes. Retrived August 25, 2021, from http://www.dhl.com/en/press/releases/releases_2014/group/dhl_parcelcopter_launches_initial_operations_for_research_purposes
]Search in Google Scholar
[
[6] Wing, P. (2018). Project wing. Retrieved September 5, 2021, from https://x.company/projects/wing/
]Search in Google Scholar
[
[7] UPS YouTube Channel. (2017). UPS tests residential delivery via drone. Retrived August 25, 2021, from https://www.youtube.com/watch?v=HEkHhZDuLhU
]Search in Google Scholar
[
[8] Aljazeera. (2014, Feburary). UAE to Use Drones for Citizen Services. Retrieved November 10, 2021, from http://www.aljazeera.com/news/middleeast/2014/02/uae-use-drones-government-services-20142121717319272.html
]Search in Google Scholar
[
[9] Murray, C.C. & Chu, A.G. (2015). The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Research Part C: Emerging Technologies 54, 86-109. DOI: 10.1016/j.trc.2015.03.005.
]Open DOISearch in Google Scholar
[
[10] Agatz, N., Bouman, P. & Schmidt, M. (2018). Optimization approaches for the traveling salesman problem with drone. Transportation Science 52(4), 965-981. DOI: 10.1287/trsc.2017.0791.
]Open DOISearch in Google Scholar
[
[11] Dayarian, I., Savelsbergh, M. & Clarke J.P. (2018). Same-day delivery with drone resupply. Tech. rep. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology
]Search in Google Scholar
[
[12] Wang, X., Poikonen, S. & Golden, B. (2017). The vehicle routing problem with drones: several worst-case results. Optimization Letters 11(4), 679-697. DOI: 10.1007/s11590-016-1035-3.
]Open DOISearch in Google Scholar
[
[13] Poikonen, S., Wang, X. & Golden, B. (2017). The vehicle routing problem with drones: Extended models and connections. Networks 70(1), 34-43. DOI: 10.1002/net.21746.
]Open DOISearch in Google Scholar
[
[14] Carlsson, J.G. & Song, S. (2017). Coordinated logistics with a truck and a drone. Management Science 64(9), 4052-4069. DOI: 10.1287/mnsc.2017.2824.
]Open DOISearch in Google Scholar
[
[15] Ulmer, M.W. & Thomas, B.W. (2018). Same-day delivery with heterogeneous fleets of drones and vehicles. Networks 72(4), 475-505. DOI: 10.1002/net.21855.
]Open DOISearch in Google Scholar
[
[16] Dorling, K., Heinrichs, J., Messier, G.G. & Magierowski, S. (2016). Vehicle routing problems for drone delivery. IEEE Transactions on Systems, Man, and Cybernetics: Systems 47(1), 70-85. DOI: 10.1109/TSMC.2016.2582745.
]Open DOISearch in Google Scholar
[
[17] Poikonen, S. & Golden, B. (2020). Multi-visit drone routing problem. Computers & Operations Research 113, 104802. DOI: 10.1016/j.cor.2019.104802.
]Open DOISearch in Google Scholar
[
[18] Sorbelli, F.B., Corò, F., Das, S.K. & Pinotti, C.M. (2020). Energy-constrained delivery of goods with drones under varying wind conditions. IEEE Transactions on Intelligent Transportation Systems, 22(9), 6048-6060. DOI: 10.1109/TITS.2020.3044420.
]Open DOISearch in Google Scholar
[
[19] Palazzetti, L., Pinotti, C.M. & Rigoni, G. (2021). A run in the wind: favorable winds make the difference in drone delivery. In 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), 109-116. IEEE. DOI: 10.1109/DCOSS52077.2021.00031.
]Open DOISearch in Google Scholar
[
[20] Hwang, M.H., Cha, H.R. & Jung, S.Y. (2018). Practical endurance estimation for minimizing energy consumption of multirotor unmanned aerial vehicles. Energies, 11(9), 2221. DOI: 10.3390/en11092221.
]Open DOISearch in Google Scholar
[
[21] Clarke, G. & Wright, J.W. (1964). Scheduling of vehicles from a central depot to a number of delivery points. Operations research 12(4), 568-581. DOI: 10.1287/opre.12.4.568.
]Open DOISearch in Google Scholar