Investigation on Shannon-Kotelnik theorem impact on SOMA algorithm performance

Komínková Oplatková, Zuzana; Zelinka, Ivan

dc.title	Investigation on Shannon-Kotelnik theorem impact on SOMA algorithm performance	en
dc.contributor.author	Komínková Oplatková, Zuzana
dc.contributor.author	Zelinka, Ivan
dc.relation.ispartof	Simulation in Wider Europe - 19th European Conference on Modelling and Simulation, ECMS 2009
dc.identifier.isbn	1-84233-115-9
dc.date.issued	2005
dc.citation.spage	66
dc.citation.epage	71
dc.event.title	19th European Conference on Modelling and Simulation (ECMS 2005)
dc.event.location	Riga
utb.event.state-en	Latvia
utb.event.state-cs	Lotyšsko
dc.event.sdate	2005-06-01
dc.event.edate	2005-06-04
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/services/ecms2005/pdf/is-03.pdf
dc.subject	Self-Organizing Migrating Algorithm (SOMA)	en
dc.subject	sampling	en
dc.subject	Shannon-Kotelnik theorem	en
dc.description.abstract	This paper deals with evolutionary algorithm SOMA (SelfOrganizing Migrating Algorithm) and studies the performance impact from Step size point of view based on information theory. For this preliminary study a simple unimodal (with one extreme) function was chosen. The article describes technique of analysis and results are well-arranged shown in graphs and charts.	en
utb.faculty	Faculty of Technology
dc.identifier.uri	http://hdl.handle.net/10563/1001984
utb.identifier.scopus	2-s2.0-82555198461
utb.identifier.wok	000231819900009
utb.source	d-wok
dc.date.accessioned	2011-08-09T07:34:21Z
dc.date.available	2011-08-09T07:34:21Z
utb.contributor.internalauthor	Komínková Oplatková, Zuzana
utb.contributor.internalauthor	Zelinka, Ivan