首页|SEIAR模型在应急医疗物资动态分配优化中的应用

SEIAR模型在应急医疗物资动态分配优化中的应用

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针对突发公共卫生事件中应急物资供应不足、分配不合理、配送效率低等问题给疫情防控带来的影响,用引入迁移率的传染病模型 SEIAR(susceptible-exposed-infected-asymptomatic-recoverd,SEIAR)预测需求地不同时间段内受灾人数的动态变化,从而间接预测应急医疗物资的需求量;建立以需求地满足率最大化、运输时间最小化及总成本最小化为目标的多目标应急医疗物资动态分配模型.提出一种融合莱维飞行和非线性自适应惯性权重的改进鲸鱼优化算法,以提高算法寻优精度.以某地区新冠疫情发生状况为案例进行验证与仿真.结果表明,所构建的SEIAR模型具有较好的适应性,与传统的遗传算法(GA)、粒子群优化算法(PSO)相比,所提出的算法收敛速度更快,收敛精度更高.
Application of SEIAR Model in Dynamic Allocation Optimization of Emergency Medical Supplies
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).

emergency medical suppliesdynamic allocationwhale optimization algorithmdemand forecastingSEIAR model

梁迪、辛江、李羽婷、卢列兆

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沈阳大学 机械工程学院,辽宁 沈阳 110044

应急医疗物资 动态分配 鲸鱼优化算法 需求预测 SEIAR模型

国家留学基金委资助项目

201908210398

2024

沈阳大学学报(自然科学版)
沈阳大学

沈阳大学学报(自然科学版)

CSTPCD
影响因子:0.475
ISSN:2095-5456
年,卷(期):2024.36(1)
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