[1] M. Abdolhosseinzadeh, M.M. Alipour, A simulated annealing algorithm for the restricted stochas
tic traveling salesman problem with exponentially distributed arc lengths, J. Math. Model. 8(3)
(2020) 279–290.
[2] S. Alumur, B.Y. Kara, Network hub location problems: The state of the art, Eur. J. Oper. Res.
190(1) (2008) 1–21
[3] S.A. Alumur, J.F. Campbell, I. Contreras, B.Y. Kara, V. Marianov, M.E. O’Kelly, Perspectives on
modeling hub location problems, Eur. J. Oper. Res. 291(1) (2021) 1–17.
[4] J.P. Aurambout, K. Gkoumas, B. Ciuffo, Last mile delivery by drones: An estimation of viable
market potential and access to citizens across European cities, Eur. Transp. Res. Rev. 11(1) (2019)
1–21.
[5] G. Baloch, F. Gzara, Strategic network design for parcel delivery with drones under competition,
Transp. Sci. 54(1) (2020) 204–228.
[6] O. Bozorg-Haddad, M. Solgi, H.A. Lo´aiciga, Meta-Heuristic and Evolutionary Algorithms for En
gineering Optimization, John Wiley & Sons, 2017.
[7] L. Budd, S. Ison, Air Transport Management, Routledge, 2017.
[8] J.F. Campbell, Integer programming formulations of discrete hub location problems, Eur. J. Oper.
Res. 72(2) (1994) 387–405.
[9] D. Chauhan, A. Unnikrishnan, M. Figliozzi, Maximum coverage capacitated facility location prob
lem with range constrained drones, Transp. Res. Part C Emerg. Technol. 99 (2019) 1–18.
[10] A.P. Chobar, H. Bigdeli, N. Shamami, M. Abolghasemian, Optimizing hub location for military
equipment: A robust mathematical model for uncertainty and meta-heuristic approaches, Fuzzy
Optim. Model. J. 5(4) (2024) 44–59.
[11] S. Chowdhury, A. Emelogu, M. Marufuzzaman, S.G. Nurre, L. Bian, Drones for disaster response
and relief operations: A continuous approximation model, Int. J. Prod. Econ. 188 (2017) 167–184.
[12] B.N. Coelho, V.N. Coelho, I.M. Coelho, L.S. Ochi, R. Haghnazar, D. Zuidema, M.S.F. Lima, A.R.
da Costa, A multi-objective green UAV routing problem, Comput. Oper. Res. 88 (2017) 306–315.
[13] I. Contreras, M. O’Kelly, Hub location problems, Loc. Sci. (2019) 327–363.
[14] K. Dorling, J. Heinrichs, G.G. Messier, S. Magierowski, Vehicle routing problems for drone deliv
ery, IEEE Trans. Syst. Man Cybern. Syst. 47(1) (2016) 70–85.
[15] A.T. Ernst, M. Krishnamoorthy, Efficient algorithms for the uncapacitated single allocation p-hub
median problem, Loc. Sci. 4(3) (1996) 139–154.
[16] A.T. Ernst, M. Krishnamoorthy, Exact and heuristic algorithms for the uncapacitated multiple
allocation p-hub median problem, Eur. J. Oper. Res. 104(1) (1998) 100–112.
[17] F. Farajzadeh, A. Moadab, O.F. Valilai, M. Houshmand, A novel mathematical model for a
cloud-based drone enabled vehicle routing problem considering multi-echelon supply chain, IFAC
PapersOnLine 53(2) (2020) 15035–15040.
[18] H. Garg, A hybrid GSA-GA algorithm for constrained optimization problems, Inf. Sci. 478 (2019)
499–523
[19] S. Gelareh, S. Nickel, Hub location problems in transportation networks, Transp. Res. Part E Lo
gist. Transp. Rev. 47(6) (2011) 1092–1111.
[20] M. Golabi, S.M. Shavarani, G. Izbirak, An edge-based stochastic facility location problem in UAV
supported humanitarian relief logistics: a case study of Tehran earthquake, Nat. Hazards 87 (2017)
1545–1565.
[21] Q.M.Ha, Y.Deville, Q.D. Pham, M.H.H`a, Onthe min-cost traveling salesman problem with drone,
Transp. Res. Part C Emerg. Technol. 86 (2018) 597–621.
[22] M.Hajiaghaei-Keshteli, G. Rahmanifar, M. Mohammadi, F. Gholian-Jouybari, J.J. Klemeˇs, S. Zah
matkesh, A. Bokhari, G. Fusco, C. Colombaroni, Designing a multi-period dynamic electric vehicle
production-routing problem in a supply chain considering energy consumption, J. Clean. Prod. 421
(2023) 138471.
[23] J.H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Appli
cations to Biology, Control, and Artificial Intelligence, Michigan Press, 1975.
[24] H. Huang, A.V. Savkin, C. Huang, A new parcel delivery system with drones and a public train, J.
Intell. Robot. Syst. 100 (2020a) 1341–1354.
[25] H. Huang, A.V. Savkin, C. Huang, Round trip routing for energy-efficient drone delivery based on
a public transportation network, IEEE Trans. Transp. Electrific. 6(3) (2020b) 1368–1376.
[26] M. Imanparast, V. Kiani, A practical heuristic for maximum coverage in large-scale continuous
location problem, J. Math. Model. 9(4) (2021) 555–572.
[27] B.Y. Kara, Modeling and analysis of issues in hub location problem, Ph.D. Thesis, Bilkent Univer
sity, Turkey, 1999.
[28] A. Khaleghi, A. Eydi, Hybrid solution methods for a continuous-time multi-period hub location
problem with time-dependent demand and sustainability considerations, J. Ambient Intell. Hu
maniz. Comput. 15(1) (2024) 115–155.
[29] M. Khalilzadeh, M. Ahmadi, O. Kebriyaii, A bi-objective mathematical programming model
for a maximal covering hub location problem under uncertainty, SAGE Open 15(1) (2025)
21582440251324335.
[30] S. Kirkpatrick, C.D. Gelatt Jr., M.P. Vecchi, Optimization by simulated annealing, Sci. 220(4598)
(1983) 671–680.
[31] G. Laporte, S. Nickel, F. Saldanha-da-Gama, Introduction to Location Science, Springer, 2019.
[32] Y. Liu, An optimization-driven dynamic vehicle routing algorithm for on-demand meal delivery
using drones, Comput. Oper. Res. 111 (2019) 1–20.
[33] J.E. Macias, P. Angeloudis, W. Ochieng, Optimal hub selection for rapid medical deliveries using
unmanned aerial vehicles, Transp. Res. Part C Emerg. Technol. 110 (2020) 56–80
[34] G. Macrina, L.D.P. Pugliese, F. Guerriero, G. Laporte, Drone-aided routing: A literature review,
Transp. Res. Part C Emerg. Technol. 120 (2020) 102762.
[35] A.I. Mahmutogullari, B.Y. Kara, Hub location under competition, Eur. J. Oper. Res. 250(1) (2016)
214–225.
[36] T. Meyer, A.T. Ernst, M. Krishnamoorthy, A 2-phase algorithm for solving the single allocation
p-hub center problem, Comput. Oper. Res. 36(12) (2009) 3143–3151.
[37] J. Minas, L. Mitten, The hub operation scheduling problem, Oper. Res. 6(3) (1958) 329–345.
[38] C.C. Murray, A.G. Chu, The flying sidekick traveling salesman problem: Optimization of drone
assisted parcel delivery, Transp. Res. Part C Emerg. Technol. 54 (2015) 86–109.
[39] M.E. O’Kelly, A quadratic integer program for the location of interacting hub facilities, Eur. J.
Oper. Res. 32(3) (1987) 393–404.
[40] H. Omagari, S.I. Higashino, Provisional-ideal-point-based multi-objective optimization method for
drone delivery problem, Int. J. Aeronaut. Space Sci. 19 (2018) 262–277.
[41] C. Ortiz-Astorquiza, I. Contreras, G. Laporte, Multi-level facility location as the maximization of a
submodular set function, Eur. J. Oper. Res. 247(3) (2015) 1013–1016.
[42] D. Pamucar, D. Lazarevi´c, M. Dobrodolac, V. Simic, ¨ O.F. G¨ orc¸¨ un, Prioritization of crowdsourcing
models for last-mile delivery using fuzzy Sugeno–Weber framework, Eng. Appl. Artif. Intell. 128
(2024) 107414.
[43] S. Poikonen, X. Wang, B. Golden, The vehicle routing problem with drones: Extended models and
connections, Netw. 70(1) (2017) 34–43.
[44] I. Rodr´ ıguez-Mart´ ın, J.J. Salazar-Gonz´alez, H. Yaman, A branch-and-cut algorithm for the hub
location and routing problem, Comput. Oper. Res. 50 (2014) 161–174.
[45] B. Rostami, N. K¨ammerling, J. Naoum-Sawaya, C. Buchheim, U. Clausen, Stochastic single
allocation hub location, Eur. J. Oper. Res. 289(3) (2021) 1087–1106.
[46] M.R. Salama, S. Srinivas, Collaborative truck multi-drone routing and scheduling problem: Pack
age delivery with flexible launch and recovery sites, Transp. Res. Part E Logist. Transp. Rev. 164
(2022) 102788.
[47] E. Shadkam, Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA
and RSM, Environ. Sci. Pollut. Res. 29(15) (2022) 22404–22426.
[48] E. Shadkam, S. Safari, S.S. Abdollahzadeh, Finally, which meta-heuristic algorithm is the best
one?, Int. J. Decis. Sci. Risk Manag. 10(1-2) (2021) 32–50.
[49] D. Skorin-Kapov, J. Skorin-Kapov, M. O’Kelly, Tight linear programming relaxations of uncapac
itated p-hub median problems, Eur. J. Oper. Res. 94(3) (1996) 582–593
[50] B. Soylu, H. Katip, A multiobjective hub-airport location problem for an airline network design,
Eur. J. Oper. Res. 277(2) (2019) 412–425.
[51] R. Storn, K. Price, Differential evolution—a simple and efficient heuristic for global optimization
over continuous spaces, J. Glob. Optim. 11(4) (1997) 341–359.
[52] G. Taguchi, Introduction to Quality Engineering: Designing Quality into Products and Processes,
Asian Productivity Organization, Tokyo, 1986.
[53] Y. Tanabe, Y. Kitagawa, An adaptive selection system of base-isolation devices evaluated by using
a soft computing method that considers seismic performance, 13th World Conf. Earthquake Eng.,
Vancouver, B.C., Canada, 2004.
[54] M. Tavana, K. Khalili-Damghani, F.J. Santos-Arteaga, M.H. Zandi, Drone shipping versus truck
delivery in a cross-docking system with multiple fleets and products, Expert Syst. Appl. 72 (2017)
93–107.
[55] A.Troudi, S.A. Addouche, S. Dellagi, A. E. Mhamedi, Sizing of the drone delivery fleet considering
energy autonomy, Sustainability 10(9) (2018) 3344.
[56] B. Urazel, Y. B. Sahin, Solving a cubic cell formation problem with quality index using a hybrid
meta-heuristic approach, Gazi Univ. J. Sci. 36(2) (2023) 752–771.
[57] X. Wang, S. Poikonen, B. Golden, The vehicle routing problem with drones: several worst-case
results, Optim. Lett. 11 (2017) 679–697.
[58] Z. Wang, J. B. Sheu, Vehicle routing problem with drones, Transp. Res. Part B Methodol. 122
(2019) 350–364.
[59] G. Wu, N. Mao, Q. Luo, B. Xu, J. Shi, P N. Suganthan, Collaborative truck-drone routing for
contactless parcel delivery during the epidemic, IEEE Trans. Intell. Transp. Syst. 23(12) (2022)
25077–25091.
[60] Y. Yadav, A. Narasimhamurthy, Algorithms for solving the vehicle routing problem with drones,
Proc. 2017 Ninth Int. Conf. Adv. Pattern Recognit. (ICAPR), 2017.
[61] M. Ziaee, M. Imanparast, V. Khodabakhshi, Multi-agent single machine scheduling problem with
transportation constraints, J. Math. Model. 10(3) (2022) 367–385