基于遗传算法的新冠肺炎随机模型在印度尼西亚的实施

应用数学与计算数学学报 Pub Date : 2022-01-01 DOI:10.1063/5.0115137

Aldi EW. Widianto, A. Hakam, S. D. Surjanto, E. R. Putri

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Implementation of a genetic algorithm method for stochastic model of COVID-19 in Indonesia

COVID-19 is an infectious disease that has spread to countries in the world, including Indonesia. A stochastic SIR model was constructed to represent the spreading of COVID-19. One of the popular methods in a heuristic search and optimization algorithm, a genetic algorithm method, is implemented to estimate the parameters of the SIR stochastic model. As a result, using the parameters obtained, the stochastic SIR model can be in line with the actual data, and we get accurate predictions within four weeks later. © 2022 Author(s).

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应用数学与计算数学学报

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