SOMA Network Model Based on Native Visibility Graph

dc.contributor.authorTomaszek, Lukas
dc.contributor.authorZelinka, Ivan
dc.coverage.issue1cs
dc.coverage.volume23cs
dc.date.accessioned2019-06-26T10:18:08Z
dc.date.available2019-06-26T10:18:08Z
dc.date.issued2017-06-01cs
dc.description.abstractIn this article, we want to propose a new model of the network for analyzing the evolution algorithms.We focus on the graph called native visibility graph. We show how we can get a time series from the run ofthe self-organizing migrating algorithm and how we can convert these series into a network. At the end of thearticle, we focus on some basic network properties and we propose how can we use these properties for laterinvestigation. All experiments run on well-known CEC 2016 benchmarks.en
dc.formattextcs
dc.format.extent49-56cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2017 vol. 23, č. 1, s. 49-56. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2017.1.049en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179198
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/51cs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en
dc.subjectcomplex networksen
dc.subjectevolution algorithmsen
dc.subjectself-organizing migrating algorithmen
dc.subjectnative visibility graphen
dc.subjecttime seriesen
dc.titleSOMA Network Model Based on Native Visibility Graphen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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