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dc.contributor.authorBujok, Petr
dc.date.accessioned2021-08-10T12:39:18Z
dc.date.available2021-08-10T12:39:18Z
dc.date.issued2021-06-21cs
dc.identifier.citationMendel. 2021 vol. 27, č. 1, s. 29-32. ISSN 1803-3814cs
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/200938
dc.description.abstractThis paper describes three different mechanisms used in Jellyfish Search (JS) optimiser. At first, an archive of good old solutions is used to prevent getting stuck in the local-optima area. Further, a distribution coefficient beta is adapted during the search process to control population diversity. Finally, an Eigen transformation of individuals in the reproduction process is used occasionally to cope with rotated functions. Three proposed variants of the JS optimiser are compared with the original JS algorithm and nine various well-known Nature-inspired optimisation methods when solving real-world problems of CEC 2011. Provided results achieved by statistical comparison show efficiency of the individual newly employed mechanisms.en
dc.formattextcs
dc.format.extent29-32cs
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/130cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectGlobal optimisationen
dc.subjectJellyfish Search optimiseren
dc.subjectarchiveen
dc.subjectEigen transformationen
dc.subjectdistribution coefficienten
dc.subjectexperimental comparisonen
dc.titleThree Steps to Improve Jellyfish Search Optimiseren
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
dc.coverage.issue1cs
dc.coverage.volume27cs
dc.identifier.doi10.13164/mendel.2021.1.029en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license