Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method

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dc.authoridDEMİR, Murat/0000-0001-7362-0401
dc.authoridKarci, Ali/0000-0002-8489-8617;
dc.authorwosidDEMİR, Murat/AAE-3081-2020
dc.authorwosidKARCI, Ali/A-9604-2019
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosiddemir, murat/GWZ-2151-2022
dc.contributor.authorDemir, Murat
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:42:33Z
dc.date.available2024-08-04T20:42:33Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description.abstractHeuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case. The heuristic methods do not guarantee to obtain the optimal results; however, they guarantee to obtain near-optimal solutions in considerable time. In this paper, an application was performed by using firefly algorithm - one of the heuristic methods. The golden ratio was applied to different steps of firefly algorithm and different parameters of firefly algorithm to develop a new algorithm - called Firefly Algorithm with Golden Ratio (FAGR). It was shown that the golden ratio made firefly algorithm be superior to the firefly algorithm without golden ratio. At this aim, the developed algorithm was applied to WBCD database (breast cancer database) to cluster data obtained from breast cancer patients. The highest obtained success rate among all executions is 96% and the highest obtained average success rate in all executions is 94.5%.en_US
dc.identifier.doi10.4316/AECE.2015.02010
dc.identifier.endpage84en_US
dc.identifier.issn1582-7445
dc.identifier.issn1844-7600
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84979827793en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage75en_US
dc.identifier.urihttps://doi.org/10.4316/AECE.2015.02010
dc.identifier.urihttps://hdl.handle.net/11616/97447
dc.identifier.volume15en_US
dc.identifier.wosWOS:000356808900010en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUniv Suceava, Fac Electrical Engen_US
dc.relation.ispartofAdvances in Electrical and Computer Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectartificial Intelligenceen_US
dc.subjectheuristic algorithmsen_US
dc.subjectclustering algorithmsen_US
dc.titleData Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Methoden_US
dc.typeArticleen_US

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