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Identification of an Epidemiological Model to Simulate the COVID-19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search
Joint Authors
Lobato, Fran Sérgio
Libotte, Gustavo Barbosa
Platt, Gustavo Mendes
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Traditionally, the identification of parameters in the formulation and solution of inverse problems considers that models, variables, and mathematical parameters are free of uncertainties.
This aspect simplifies the estimation process, but does not consider the influence of relatively small changes in the design variables in terms of the objective function.
In this work, the SIDR (Susceptible, Infected, Dead, and Recovered) model is used to simulate the dynamic behavior of the novel coronavirus disease (COVID-19), and its parameters are estimated by formulating a robust inverse problem, that is, considering the sensitivity of design variables.
For this purpose, a robust multiobjective optimization problem is formulated, considering the minimization of uncertainties associated with the estimation process and the maximization of the robustness parameter.
To solve this problem, the Multiobjective Stochastic Fractal Search algorithm is associated with the Effective Mean concept for the evaluation of robustness.
The results obtained considering real data of the epidemic in China demonstrate that the evaluation of the sensitivity of the design variables can provide more reliable results.
American Psychological Association (APA)
Lobato, Fran Sérgio& Libotte, Gustavo Barbosa& Platt, Gustavo Mendes. 2020. Identification of an Epidemiological Model to Simulate the COVID-19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139659
Modern Language Association (MLA)
Lobato, Fran Sérgio…[et al.]. Identification of an Epidemiological Model to Simulate the COVID-19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1139659
American Medical Association (AMA)
Lobato, Fran Sérgio& Libotte, Gustavo Barbosa& Platt, Gustavo Mendes. Identification of an Epidemiological Model to Simulate the COVID-19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139659
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139659