Advances in International Computer Science
Advances in International Computer Science. 2023; 3: (2) ; 10.12208/j.aics.20230018 .
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北方民族大学
*通讯作者： 李虎飞,单位：北方民族大学；
本文研究了COVID-19传染病模型的参数反演问题. 首先建立COVID-19无症状感染者传染病的SEAIRD模型. 其次，利用反问题法将模型转化为目标函数的最小问题，利用改进的遗传算法获取模型参数. 最后对参数进行了敏感性分析. 结果表明，改进的遗传算法对新冠肺炎疫情模型的参数反演效果良好.
In this paper, parameter inversion of COVID-19 infectious disease model is studied. Firstly, the SEAIRD model of infectious disease in asymptomatic COVID-19 infected persons was established. Secondly, the inverse problem method is used to transform the model into the minimum problem of the objective function, and the improved genetic algorithm is used to obtain the model parameters. Finally, the sensitivity of the parameters was analyzed. The results show that the improved genetic algorithm is effective in parameter inversion of the novel coronavirus epidemic model.
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