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Optimization methods for individual-based model parameter estimation in predictive microbiology Prats Soler, Clara Bernaerts, K. Standaert, A. Ferrer Savall, Jordi López Codina, Daniel Van Impe, J. Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear Universitat Politècnica de Catalunya. SC-SIMBIO - Sistemes complexos. Simulació discreta de materials i de sistemes biològics Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Microbiologia Parameter estimation Microorganisms Estimació paramètrica Microorganismes 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) 2009 Conference report Prats, C. [et al.]. Optimization methods for individual-based model parameter estimation in predictive microbiology. A: Vienna Conference on Mathematical Modelling. "6th Vienna Conference on Mathematical Modelling". Viena: 2009, p. 2635-2638. 9783901608353 https://hdl.handle.net/2117/13753 eng http://cataleg.upc.edu/record=b1292393~S1*cat Restricted access - publisher's policy 4 p. application/pdf