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...

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Bibliographic Details
Main Authors: Widianto, Aldi EW, Hakam, Amirul, Surjanto, Sentot D., Putri, Endah RM
Format: Conference Proceeding
Language:English
Subjects:
Genetic algorithms
Infectious diseases
Optimization
Parameters
Stochastic models
Online Access:Get full text
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Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0115137