In view of the impact of insufficient supply,unreasonable dispatching and low efficiency of emergency supplies in public health emergencies on pandemic prevention and control,the dynamic changes of affected people in different periods were predicted by the infectious disease model SEIAR(susceptible-exposed-infected-asymptomatic-removed),which indirectly obtained the demand for emergency medical supplies.Considering satisfaction rate,transportation time and total cost,the dynamic distribution model of emergency medical supplies was established.A whale algorithm(AWLWOA)combining Lévy flight and adaptive weight was proposed to improve the algorithm's accuracy.A case study was conducted to verify the accuracy and feasibility of the model and algorithm.The results of numerical examples showed that the algorithm had better searching effect than the traditional genetic algorithm(GA)and particle swarm optimization(PSO).
关键词
应急医疗物资/动态分配/鲸鱼优化算法/需求预测/SEIAR模型
Key words
emergency medical supplies/dynamic allocation/whale optimization algorithm/demand forecasting/SEIAR model
维普
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