Parameter estimation of a three-step pathway using evolutionary techniques

Lebedik, Anastasia Sluštíková; Zelinka, Ivan; Jašek, Roman

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	978-80-214-4755-4
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