A New Integral Function Algorithm for Global Optimization and Its Application to the Data Clustering Problem

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dc.contributor.authorPandiya, Ridwan
dc.contributor.authorAhdika, Atina
dc.contributor.authorKhomsah, Siti
dc.contributor.authorRamadhani, Rima Dias
dc.coverage.issue2cs
dc.coverage.volume29cs
dc.date.accessioned2024-01-11T09:48:08Z
dc.date.available2024-01-11T09:48:08Z
dc.date.issued2023-12-31cs
dc.description.abstractThe filled function method is an approach to finding global minimum points of multidimensional unconstrained global optimization problems. The conventional parametric filled functions have computational weaknesses when they are employed in some benchmark optimization functions. This paper proposes a new integral function algorithm based on the auxiliary function approach. The proposed method can successfully be used to find the global minimum point of a function of several variables. Some testing global optimization problems have been used to show the ability of this recommended method. The integral function algorithm is then implemented to solve the center-based data clustering problem. The results show that the proposed algorithm can solve the problem successfully.en
dc.formattextcs
dc.format.extent162-168cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2023 vol. 29, č. 2, s. 162-168. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2023.2.162en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttps://hdl.handle.net/11012/244265
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/251cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectGlobal Optimizationen
dc.subjectGlobal Minimum Pointen
dc.subjectIntegral Function Algorithmen
dc.subjectData Clusteringen
dc.titleA New Integral Function Algorithm for Global Optimization and Its Application to the Data Clustering Problemen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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Vol. 29, No. 2