Clustering Analysis of the Population in Db_SHADE Algorithm

dc.contributor.authorViktorin, Adam
dc.contributor.authorSenkerik, Roman
dc.contributor.authorPluhacek, Michal
dc.contributor.authorKadavy, Tomas
dc.coverage.issue1cs
dc.coverage.volume24cs
dc.date.accessioned2019-06-26T10:18:34Z
dc.date.available2019-06-26T10:18:34Z
dc.date.issued2018-06-01cs
dc.description.abstractThis paper provides an analysis of the population clustering in a novel Success-History based Adaptive Differential Evolution algorithm with Distance based adaptation (Db_SHADE) in order to analyze the exploration and exploitation abilities of the algorithm. The comparison with the original SHADE algorithm is performed on the CEC2015 benchmark set in two dimensional settings (10D and 30D). The clustering analysis helps to answer the question about prolonged exploration phase of the Db_SHADE algorithm. Possible future research directions are drawn in the discussion and conclusion.en
dc.formattextcs
dc.format.extent9-16cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 24, č. 1, s. 9-16. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2018.1.009en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179218
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/13cs
dc.rights.accessopenAccessen
dc.subjectDistance based parameter adaptationen
dc.subjectSHADEen
dc.subjectDifferential evolutionen
dc.subjectDBSCANen
dc.titleClustering Analysis of the Population in Db_SHADE Algorithmen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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