The logistic growth regression model with the genetic algorithm for predicting the third wave of the COVID-19 epidemic in Thailand
Rati Wongsathan The Research Institute and Faculty of Engineering and Technology, North-Chiang Mai University, Chiang Mai, Thailand DOI: https://doi.org/10.14456/apst.2023.16 Keywords: COVID-19 Logistic growth regression Genetic algorithm Gauss-Newton algorithm Particle swarm optimization Ant colony optimization SIR model Abstract The world is currently facing the novel coronavirus 2019 (COVID-19). Thailand, with a high basic reproduction number (2.27), […]