Optimal Control for Economic Development during the Pandemic

Barzegar H. Eshghi A. Maghsoodi A.I. Mosavi A.
2024 Institute of Electrical and Electronics Engineers Inc.

IEEE Access
2024 #12 2445 - 2457 pp.

This research introduces a compartmental model designed to address the critical challenge of cost-effective pandemic modeling and analysis. The proposed framework extends the Susceptible, Exposed, Infectious, and Recovered (SEIR) model by incorporating environmental pathogen dynamics and a mortality factor within the compartmental model. To identify an optimal strategy for disease control, we formulate an optimization problem. To expedite the solution of this nonlinear optimization problem, we leverage Geometric Programming (GP), which is well-suited for handling convex optimization problems related to parameter control within the compartmental model. Additionally, we employ Particle Swarm Optimization (PSO) to explore potential solutions. Our simulation results underscore a key finding: the optimal disease control strategy is a dynamic function of time. This insight highlights the need to go beyond conventional tactics like managed isolation and quarantine, thereby improving our approach to pandemic management.

artificial intelligence , compartmental models , convex optimization , data science , Evolutionary algorithm , machine learning , mathematical epidemiology

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Óbuda University, John von Neumann Faculty of Informatics, Budapest, 1034, Hungary
School of Management, UCL, London, WC1E 6BT, United Kingdom
University of Auckland, Faculty of Business and Economics, Business School, Department of Information Systems and Operations Management, Auckland, 1010, New Zealand
Waikato District, Te Whatu Ora Health New Zealand, Department of Intelligence and Insights, Hamilton, 3240, New Zealand
Óbuda University, Budapest, 1034, Hungary
Ludovika University of Public Service, Budapest, 1083, Hungary
Abylkas Saginov Karaganda Technical University, Karaganda, 1023, Kazakhstan

Óbuda University
School of Management
University of Auckland
Waikato District
Óbuda University
Ludovika University of Public Service
Abylkas Saginov Karaganda Technical University

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