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00925njm 22002777a 4500 dc Prats Soler, Clara author Bernaerts, K. author Standaert, A. author Ferrer Savall, Jordi author López Codina, Daniel author Van Impe, J. author 2009 In the framework of microbiology, Individual-based Models are discrete models in which the main entities are microbes. Their use in simulations as ‘virtual experiments’ to predict the evolution of populations under specific conditions requires accurate setting of the parameters involved. We adapted and tested two optimization methods for Individual-based Model parameter estimation: the Nelder-Mead Threshold Accepting (NMTA) and the NEWUOA. These methods presented no convergence problems, and the best results in terms of time expenditure were derived with the latter. Peer Reviewed Postprint (published version) Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Microbiologia Parameter estimation Microorganisms Estimació paramètrica Microorganismes Optimization methods for individual-based model parameter estimation in predictive microbiology