Multi-objective Optimization with Genetic Algorithms for the Release of Wolbachia Mosquitoes Models

Resumen

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.