Table 1

Review study of the optimization model for humanitarian logistic in disaster management

AuthorsObjective functionOtherobjectiveFsERTD/SMulti /singleobjectiveConstraintMathmodelExactapproachSolution algorithm
CostTimeEvacuation ofdistanceCapacityBudgetLimitsiteTransportationmodeItemsDemand
(Caglayan and Satoglu, 2021)SMultiMILPCPLEXAugmencon epsilon-constraint
(Jamali et al., 2021)SMultiMILPGAMSGP
(Cavdur et al., 2021)SSingleMILPHeuristic
(Gan, 2024)DMultiMILPMATLABHFHA
(Ghasemi et al., 2022)SMultiNonlinearMATLABMetaheuristic/epsilon-constraint
(Haghi et al., 2017)SMultiMILPILOG CPLEXExact method
(Manopiniwes and Irohara, 2016)SMultiNonlinearGUROBIExact method
(Meng et al., 2023)SMultiNonlinearCPLEXHeuristic/evolutionary
(Pouraliakbari-Mamaghani et al., 2023)SSingleNonlinearGUROBIHeuristic
(Seraji et al., 2021)DMultiMILPGAM / CPLEXGA
Wang et al. (2021)SSingleMILPCPLEXExact method
(Turkeš et al., 2021)SSingleMILPCPLEXMetaheuristic/heuristic
(Wang et al., 2022)SSingleNonlinearCPLEXPSO
This workSMultiMILPLINGOExact method
Note(s):

Fs = facility & stock location; E = evacuation; RT = relief transportation; D = deterministic problem; S = stochastic problem; LP = linear programming; MILP = mixed integer linear programming; GA = genetic algorithm; GP = goal programming; PSO = particle swarm optimization; HFHA = hybrid frog hopping algorithm

Source(s): Authors’ own work

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