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A comparative study of bio inspired optimization algorithms for modeling the spread of the disease

Author(s)
Fatima Ouaar Laboratory of Applied Mathematics, Mohamed Khider University,Biskra,Algeria
Abstract
We provide, by means of this article a resolution of an Initial Value Problem (IVP) used to measure the spread of the disease in the medical field, which is the logistic model, using three well-known Metaheuristic Algorithms (MAs), namely Salp Swarm Algorithm (SSA), Firefly Algorithm (FA), and Genetic Algorithm (GA). By using a specific example, the comparison of various MAs' results in terms solution efectiveness reveals that SSA produces a satisfactory level of precision in the approximation of the solution.
Publication Details
Page(s) 1-12
DOI DOI not available
Published Journal: Journal of Applied Probability and Statistics, Volume: 19, Issue: 2, Year: 2024

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Keywords
Firefly Algorithm (FA), and phrases, Genetic Algorithm (GA), Metaheuristics, Initial Value Problem (IVP), Salp Swarm Algorithm (SSA)
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