2026-04-17T19:03:24Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/137532025-07-17T01:36:09Zcom_2072_1033col_2072_452950

urn:hdl:2117/13753 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. 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 http://cataleg.upc.edu/record=b1292393~S1*cat Restricted access - publisher's policy