A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

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dc.contributor.authorRamos, Caio C. O.
dc.contributor.authorSouza, Andre N. [UNESP]
dc.contributor.authorChiachia, Giovani
dc.contributor.authorFalcao, Alexandre X.
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-05-20T13:25:56Z
dc.date.available2014-05-20T13:25:56Z
dc.date.issued2011-11-01
dc.description.abstractFinding an optimal subset of features that maximizes classification accuracy is still an open problem. In this paper, we exploit the speed of the Harmony Search algorithm and the Optimum-Path Forest classifier in order to propose a new fast and accurate approach for feature selection. Comparisons to some other pattern recognition and feature selection techniques showed that the proposed hybrid algorithm for feature selection outperformed them. The experiments were carried out in the context of identifying non-technical losses in power distribution systems. (C) 2011 Elsevier Ltd. All rights reserved.en
dc.description.affiliationUniv São Paulo, Dept Elect Engn, Polytech Sch, São Paulo, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Elect Engn, Bauru, Brazil
dc.description.affiliationUniv Estadual Campinas, Inst Comp, Campinas, SP, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Comp, Bauru, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Comp Sci, Bauru, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Elect Engn, Bauru, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Comp, Bauru, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Comp Sci, Bauru, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 09/16206-1
dc.description.sponsorshipIdFAPESP: 10/00994-8
dc.format.extent886-894
dc.identifierhttp://dx.doi.org/10.1016/j.compeleceng.2011.09.013
dc.identifier.citationComputers & Electrical Engineering. Oxford: Pergamon-Elsevier B.V. Ltd, v. 37, n. 6, p. 886-894, 2011.
dc.identifier.doi10.1016/j.compeleceng.2011.09.013
dc.identifier.issn0045-7906
dc.identifier.lattes8212775960494686
dc.identifier.urihttp://hdl.handle.net/11449/8275
dc.identifier.wosWOS:000298907500006
dc.language.isoeng
dc.publisherPergamon-Elsevier B.V. Ltd
dc.relation.ispartofComputers & Electrical Engineering
dc.relation.ispartofjcr1.747
dc.relation.ispartofsjr0,401
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.titleA novel algorithm for feature selection using Harmony Search and its application for non-technical losses detectionen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderPergamon-Elsevier B.V. Ltd
unesp.author.lattes8212775960494686[2]
unesp.author.lattes0000-0002-8617-5404[2]
unesp.author.orcid0000-0002-6494-7514[5]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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