Chaotic optimization

Davendra, Donald David; Zelinka, Ivan; Onwubolu, Godfrey

dc.title	Chaotic optimization	en
dc.contributor.author	Davendra, Donald David
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Onwubolu, Godfrey
dc.relation.ispartof	21st European Conference on Modelling and Simulation ECMS 2007: Simulations in United Europe
dc.identifier.isbn	978-0-9553018-2-7
dc.date.issued	2007
dc.citation.spage	339
dc.citation.epage	344
dc.event.title	21st European Conference on Modelling and Simulation
dc.event.location	Prague
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2007-06-04
dc.event.edate	2007-06-06
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	European Council for Modelling and Simulation (ECMS)	en
dc.relation.uri	http://www.scs-europe.net/conf/ecms2007/ecms2007-cd/ecms2007/ecms2007%20pdf/chcmst_0106.pdf
dc.subject	evolutionary heuristics	en
dc.subject	chaos	en
dc.subject	optimization	en
dc.description.abstract	A novel approach symbolizing the principles of chaos and its application to evolutionary heuristics is discussed. The concept of local convergence and its symbolism to chaotic attractors is discussed. A novel approach of having a population driven evolutionary heuristic is then proposed combining the principle of chaotic attractors and edges.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1001943
utb.identifier.obdid	15553663
utb.identifier.scopus	2-s2.0-84857568517
utb.identifier.wok	000252306400054
utb.source	d-wok
dc.date.accessioned	2011-08-09T07:34:16Z
dc.date.available	2011-08-09T07:34:16Z
utb.contributor.internalauthor	Davendra, Donald David
utb.contributor.internalauthor	Zelinka, Ivan