dc.creator | Blanquero Bravo, Rafael | es |
dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Jiménez Cordero, María Asunción | es |
dc.creator | Rodríguez, José Francisco | es |
dc.date.accessioned | 2021-04-20T12:11:35Z | |
dc.date.available | 2021-04-20T12:11:35Z | |
dc.date.issued | 2016-06-07 | |
dc.identifier.citation | Blanquero Bravo, R., Carrizosa Priego, E.J., Jiménez Cordero, M.A. y Rodríguez, J.F. (2016). A global optimization method for model selection in chemical reactions networks. COMPUTERS & CHEMICAL ENGINEERING, 93, 52-62. | |
dc.identifier.issn | 0098-1354 | es |
dc.identifier.issn | 1873-4375 | es |
dc.identifier.uri | https://hdl.handle.net/11441/107474 | |
dc.description.abstract | Model inference is a challenging problem in the analysis of chemical reactions networks. In order to
empirically test which, out of a catalogue of proposed kinetic models, is governing a network of chemical
reactions, the user can compare the empirical data obtained in one experiment against the theoretical
values suggested by the models under consideration. It is thus fundamental to make an adequate choice
of the decision variables (e.g. initial concentrations of the different species in the tank) in order to have
maximal separation between sets of concentrations provided by the theoretical models, making then
easier to identify which of the theoretical models yields data closest to those obtained empirically under
identical conditions.
In this paper we illustrate how global optimization techniques can be successfully used to address the
problem of model separation, as a basis for model selection. Some examples illustrate the usefulness of
our approach. | es |
dc.format | application/pdf | es |
dc.format.extent | 10 p. | es |
dc.language.iso | eng | es |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | es |
dc.relation.ispartof | COMPUTERS & CHEMICAL ENGINEERING, 93, 52-62. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Model selection | es |
dc.subject | Chemical reactions networks | es |
dc.subject | Kinetic models | es |
dc.subject | Global optimization | es |
dc.subject | Variable neighborhood search | es |
dc.title | A global optimization method for model selection in chemical reactions networks | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.publisherversion | http://doi.org/10.1016/j.compchemeng.2016.05.016 | es |
dc.identifier.doi | 10.1016/j.compchemeng.2016.05.016 | es |
dc.contributor.group | Universidad de Sevilla. FQM329: Optimización | es |
dc.journaltitle | COMPUTERS & CHEMICAL ENGINEERING | es |
dc.publication.volumen | 93 | es |
dc.publication.initialPage | 52 | es |
dc.publication.endPage | 62 | es |