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dc.contributor.authorPluhacek, Michal
dc.contributor.authorSenkerik, Roman
dc.contributor.authorViktorin, Adam
dc.contributor.authorKadavy, Tomas
dc.contributor.authorZelinka, Ivan
dc.date.accessioned2019-06-26T10:18:09Z
dc.date.available2019-06-26T10:18:09Z
dc.date.issued2017-06-01cs
dc.identifier.citationMendel. 2017 vol. 23, č. 1, s. 87-94. ISSN 1803-3814cs
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179203
dc.description.abstractIn this study, we construct a complex network from the inner dynamic of Particle Swarm Optimization algorithm. The subsequent analysis of the network promises to provide useful information for better understanding the dynamic of the swarm that is not acquirable by other means. We present several network visualizations and numerical analysis. We discuss the observations and propose further directions for the research.en
dc.formattextcs
dc.format.extent87-94cs
dc.format.mimetypeapplication/pdfen
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/57cs
dc.subjectSwarm Intelligenceen
dc.subjectParticle Swarm Optimizationen
dc.subjectComplex Networken
dc.subjectMetaheuristicen
dc.titleUsing Complex Network Visualization and Analysis for Uncovering the Inner Dynamics of PSO Algorithmen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
dc.coverage.issue1cs
dc.coverage.volume23cs
dc.identifier.doi10.13164/mendel.2017.1.087en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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