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Parameter estimation of a three-step pathway using evolutionary techniques

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dc.title Parameter estimation of a three-step pathway using evolutionary techniques en
dc.contributor.author Lebedik, Anastasia Sluštíková
dc.contributor.author Zelinka, Ivan
dc.contributor.author Jašek, Roman
dc.relation.ispartof MENDEL 2013
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788021447554
dc.date.issued 2013
dc.citation.spage 111
dc.citation.epage 116
dc.event.title 19th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods, MENDEL 2013
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2013-06-26
dc.event.edate 2013-06-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Brno University of Technology
dc.subject Biochemical systems en
dc.subject Differential evolution en
dc.subject Evolutionary techniques en
dc.subject Parameter estimation en
dc.subject Self-organizing migrating algorithm en
dc.description.abstract Parameter estimation of nonlinear biological systems is one of the most challenging topics in systems biology. This problem is usually presented as an optimization task, where cost function has to be minimized. In present study, we consider a well-studied biochemical system, called a three-step pathway. We have applied two evolutionary techniques: DE and SOMA. Both algorithms are well-known effective techniques in solving optimization problems with large solution space. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004666
utb.identifier.scopus 2-s2.0-84905739370
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:54:47Z
dc.date.available 2015-06-04T12:54:47Z
utb.contributor.internalauthor Lebedik, Anastasia Sluštíková
utb.contributor.internalauthor Jašek, Roman
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