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ANFIS-Based Optimal Control of Hepatitis C virus epidemic

机译:基于ANFIS的丙型肝炎病毒流行的最佳控制

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Hepatitis C is a liver disease caused by hepatitis C virus. Prevalence of the disease among people and spread of it in the society is becoming an important concern in epidemiology. In this study an ANFIS-based optimal control is developed to control hepatitis C virus epidemic. Genetic Algorithm has employed to select optimal control inputs based on the initial population of the different compartments and this process is repeated for several different initial conditions in order to create a set of data. Prepared data were used as input for ANFIS to train coefficients of Takagi-Sugeno fuzzy structure and finally this structure is used as the controller. Taking advantages of the proposed method, decreased population of the infected classes significantly in comparison with no control case. Moreover, employing our strategy decreased value of objective function about 16% with respect to past strategies which introduced in the literature.
机译:丙型肝炎是由丙型肝炎病毒引起的肝脏疾病。该病在人中的流行及其在社会中的传播正成为流行病学中的一个重要问题。在这项研究中,开发了基于ANFIS的最佳控制方法来控制丙型肝炎病毒的流行。遗传算法已根据不同隔室的初始种群选择最佳控制输入,并针对几种不同的初始条件重复此过程,以创建一组数据。将准备好的数据用作ANFIS的输入,以训练Takagi-Sugeno模糊结构的系数,最后将此结构用作控制器。利用所提方法的优势,与无控制病例相比,感染类别的种群显着减少。此外,采用我们的策略相对于文献中介绍的过去策略,目标函数的值降低了约16%。

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