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Maximizing vector distances using differential evolution - Relation to data redundancy

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dc.title Maximizing vector distances using differential evolution - Relation to data redundancy en Kolařík, Martin Jašek, Roman Komínková Oplatková, Zuzana
dc.relation.ispartof Proceedings of the International Conference of Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014)
dc.identifier.issn 0094-243X OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7354-1287-3 2015
utb.relation.volume 1648
dc.event.title International Conference on Numerical Analysis and Applied Mathematics (ICNAAM)
dc.event.location Rhodes
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2014-09-22
dc.event.edate 2014-09-28
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP)
dc.identifier.doi 10.1063/1.4912774
dc.subject differential evolution en
dc.subject vector distances en
dc.subject optimization en
dc.subject data redundancy en
dc.description.abstract This paper studies how redundant data affect maximizing of weighted distances of vectors in a set of vectors. To maximize distances differential evolution is used, because the problem does not have analytical solution and is complex. This paper at first describes suppressing of redundant data mathematically and then it checks this theoretical result in two experiments practically. As a result it was found that both experiments are in correspondence with theory. en
utb.faculty Faculty of Applied Informatics
utb.identifier.obdid 43874870
utb.identifier.scopus 2-s2.0-84939647515
utb.identifier.wok 000355339703050
utb.source d-wok 2015-07-15T08:42:20Z 2015-07-15T08:42:20Z
dc.rights.access openAccess
utb.contributor.internalauthor Kolařík, Martin
utb.contributor.internalauthor Jašek, Roman
utb.contributor.internalauthor Komínková Oplatková, Zuzana
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