Evolutionary techniques and its possibility to identify catastrophic events

Zelinka, Ivan; Davendra, Donald David; Šenkeřík, Roman; Jašek, Roman

dc.title	Evolutionary techniques and its possibility to identify catastrophic events	en
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Davendra, Donald David
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Jašek, Roman
dc.relation.ispartof	AIP Conference Proceedings
dc.identifier.issn	0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-0-7354-1113-5
dc.date.issued	2012
utb.relation.volume	1499
dc.citation.spage	351
dc.citation.epage	356
dc.event.title	6th Global Conference on Power Control and Optimization, PCO 2012
dc.event.location	Las Vegas
utb.event.state-en	United States
utb.event.state-cs	Spojené státy americké
dc.event.sdate	2012-08-06
dc.event.edate	2012-08-08
dc.type	conferenceObject
dc.language.iso	en
dc.identifier.doi	10.1063/1.4769013
dc.subject	Bifurcations	en
dc.subject	Black-box system	en
dc.subject	Chaos	en
dc.subject	Evolutionary techniques	en
dc.subject	Identification	en
dc.subject	Thom's catastrophes	en
dc.description.abstract	This paper introduces an overview of possible use of evolutionary techniques on catastrophic events detection. Catastrophic events here means Thom's catastrophes that are part of chaotic dynamics and can be used to model bifurcations, that appears in the nonlinear behavior of various dynamical systems. Participation summarize yet obtained results as well as demonstration of another possible EAs use to detect Thom's catastrophes. © 2012 American Institute of Physics.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1004686
utb.identifier.obdid	43869213
utb.identifier.scopus	2-s2.0-84873849292
utb.identifier.wok	000312409000052
utb.source	d-scopus
dc.date.accessioned	2015-06-04T12:54:57Z
dc.date.available	2015-06-04T12:54:57Z
dc.rights.access	openAccess
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Jašek, Roman
utb.scopus.affiliation	Zelinka I., Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-TUO, 708 33 Ostrava-Poruba, 17. listopadu 15, Czech Republic; Davendra D., Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-TUO, 708 33 Ostrava-Poruba, 17. listopadu 15, Czech Republic; Senkerik R., Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlin, Zlin 76001, Nad Stráněmi 4511, Czech Republic; Jasek R., Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlin, Zlin 76001, Nad Stráněmi 4511, Czech Republic