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Optimization methods for individual-based model parameter estimation in predictive microbiology
dc.contributor.author | Prats Soler, Clara |
dc.contributor.author | Bernaerts, K. |
dc.contributor.author | Standaert, A. |
dc.contributor.author | Ferrer Savall, Jordi |
dc.contributor.author | López Codina, Daniel |
dc.contributor.author | Van Impe, J. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear |
dc.date.accessioned | 2011-11-07T10:23:12Z |
dc.date.available | 2011-11-07T10:23:12Z |
dc.date.created | 2009 |
dc.date.issued | 2009 |
dc.identifier.citation | 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. |
dc.identifier.isbn | 9783901608353 |
dc.identifier.uri | http://hdl.handle.net/2117/13753 |
dc.description.abstract | 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. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Microbiologia |
dc.subject.lcsh | Parameter estimation |
dc.subject.lcsh | Microorganisms |
dc.title | Optimization methods for individual-based model parameter estimation in predictive microbiology |
dc.type | Conference report |
dc.subject.lemac | Estimació paramètrica |
dc.subject.lemac | Microorganismes |
dc.contributor.group | Universitat Politècnica de Catalunya. SC-SIMBIO - Sistemes complexos. Simulació discreta de materials i de sistemes biològics |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://cataleg.upc.edu/record=b1292393~S1*cat |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 3264517 |
dc.description.version | Postprint (published version) |
local.citation.author | Prats, C.; Bernaerts, K.; Standaert, A.; Ferrer, J.; Lopez, D.; Van Impe, J. |
local.citation.contributor | Vienna Conference on Mathematical Modelling |
local.citation.pubplace | Viena |
local.citation.publicationName | 6th Vienna Conference on Mathematical Modelling |
local.citation.startingPage | 2635 |
local.citation.endingPage | 2638 |