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Evolutionary algorithms for parameter estimation of metabolic systems

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dc.title Evolutionary algorithms for parameter estimation of metabolic systems en
dc.contributor.author Lebedik, Anastasia Sluštíková
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319005416
dc.date.issued 2013
utb.relation.volume 210
dc.citation.spage 201
dc.citation.epage 209
dc.type article
dc.language.iso en
dc.publisher Springer en
dc.identifier.doi 10.1007/978-3-319-00542-3_21
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-00542-3_21
dc.description.abstract For many years, computational tools have been widely applied to study such complex systems as metabolic networks. One of the principal questions in modeling of metabolic systems is the parameter estimation of model, which is related to a nonlinear programming problem. Two types of evolutionary algorithms, Differential Evolution and Self-Organizing Migrating Algorithm, are applied to the well-studied metabolic system, the urea cycle of the mammalian hepatocyte. The algorithms provide an effective approach in parameters identification of the model. © Springer International Publishing Switzerland 2013. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003432
utb.identifier.obdid 43869945
utb.identifier.scopus 2-s2.0-84880385528
utb.source j-scopus
dc.date.accessioned 2013-08-02T09:10:27Z
dc.date.available 2013-08-02T09:10:27Z
utb.contributor.internalauthor Lebedik, Anastasia Sluštíková
utb.fulltext.affiliation Anastasia Slustikova Lebedik and Ivan Zelinka * Anastasia Slustikova Lebedik Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: lebedik@fai.utb.cz Ivan Zelinka VŠB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic e-mail: ivan.zelinka@vsb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by grant No. IGA/FAI/2013/005 of the Internal Grant Agency of Tomas Bata University in Zlin.
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