Research on Two-stage Emergency Logistics Location-Routing Problem with Uncertain Demand
Aiming at the problems of uncertain demand and limited resources in post-disaster emergency rescue,a two-stage emergency location-path planning model under uncertain demand is constructed based on the background of multi-level emergency logistics network.The model aims at minimizing the total cost and the total transportation distance of rescue vehicles.The triangular fuzzy number is used to describe the uncertain demand of the affected points,and the fuzzy chance constrained programming method based on credibility is used to eliminate the uncertain parameters in the constraint conditions.In the first stage of the model,the Gurobi solver is called to solve the location result of the emergency distribu-tion center and the allocation scheme of the disaster point.In the second stage,the location and allocation results are used as input for path planning,and an improved adaptive genetic algorithm(IAGA)is proposed to solve the example.And at last,the adaptive genetic algorithm(AGA)is used to compare with it,and the sensitivity analysis is carried out.The re-sults show that IAGA is superior to AGA in terms of target value,convergence speed and running time,which proves that IAGA has certain feasibility and effectiveness,and can provide decision makers with better emergency location-path plan-ning scheme,so as to improve the efficiency of post-disaster rescue.
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