2026-04-13T04:15:04Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/137532025-07-17T01:36:09Zcom_2072_1033col_2072_452950
RECERCAT
author
Prats Soler, Clara
author
Bernaerts, K.
author
Standaert, A.
author
Ferrer Savall, Jordi
author
López Codina, Daniel
author
Van Impe, J.
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 ReviewedPostprint (published version)
Restricted access - publisher's policy
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
Conference report