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Investigation on Shannon-Kotelnik theorem impact on SOMA algorithm performance

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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
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