Multi-objective Optimization with Genetic Algorithms for the Release of Wolbachia Mosquitoes Models
Resumo
Wolbachia is a bacterium that reduces the ability of mosquitoes to transmit arboviruses. Vector control by releasing Wolbachia-infected mosquitoes is a promising strategy to reduce the transmission of diseases such as dengue. This work uses a two-sex mathematical model (see [2]) to analyze releases combining suppression (releasing infected males) and replacement (releasing infected females) strategies for Wolbachia-infected mosquitoes. Thus, we formulated the following problem: At what time intervals and density should male and female mosquitoes infected with Wolbachia be released to ensure optimal intervention? To answer this question, we applied a multi-objective optimization algorithm based on genetic algorithms to achieve replacement with the least number of mosquitoes in the shortest possible time.
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Referências
Evolutionary Optimization Laboratory. rmoo: Multi-Objective Optimization in R. Online. Accessed on 10/02/2025. url: https://github.com/Evolutionary-Optimization-Laboratory/rmoo.
P. E. Pérez and C. E. Schaerer. “A Two-Sex Mathematical Model for Mosquito Vector Control by Wolbachia Infection”. In: MEDTROP 2024, 59° Congresso da Sociedade Brasileira de Medicina Tropical. Sept. 2024. doi: 10.13140/RG.2.2.22673.65122.
A. S. V. de Vasconcelos, J. S. de Lima, and R. T. N. Cardoso. “Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model”. In: Scientific Reports 13 (2023), pp. 10271–10289. doi: 10.1038/s41598-023-36903-w.
