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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/9379
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dc.contributor.authorChaves, Antonio Augusto-
dc.contributor.authorNogueira Lorena, Luiz Antonio-
dc.date.accessioned2014-05-20T13:28:14Z-
dc.date.accessioned2016-10-25T16:47:59Z-
dc.date.available2014-05-20T13:28:14Z-
dc.date.available2016-10-25T16:47:59Z-
dc.date.issued2011-05-01-
dc.identifierhttp://dx.doi.org/10.1016/j.eswa.2010.09.149-
dc.identifier.citationExpert Systems With Applications. Oxford: Pergamon-Elsevier B.V. Ltd, v. 38, n. 5, p. 5013-5018, 2011.-
dc.identifier.issn0957-4174-
dc.identifier.urihttp://hdl.handle.net/11449/9379-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/9379-
dc.description.abstractThe Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand capacity. The problem is well known to be NP-hard and has many practical applications. In this paper, the hybrid method Clustering Search (CS) is implemented to solve the CCCP. This method identifies promising regions of the search space by generating solutions with a metaheuristic, such as Genetic Algorithm, and clustering them into clusters that are then explored further with local search heuristics. Computational results considering instances available in the literature are presented to demonstrate the efficacy of CS. (C) 2010 Elsevier Ltd. All rights reserved.en
dc.format.extent5013-5018-
dc.language.isoeng-
dc.publisherPergamon-Elsevier B.V. Ltd-
dc.sourceWeb of Science-
dc.subjectClustering problemsen
dc.subjectClustering search algorithmen
dc.subjectGenetic Algorithmen
dc.subjectMetaheuristicsen
dc.titleHybrid evolutionary algorithm for the Capacitated Centered Clustering Problemen
dc.typeoutro-
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationNatl Inst Space Res, Lab Comp & Appl Math, Sao Jose Dos Campos, Brazil-
dc.description.affiliationSão Paulo State Univ, Dept Math, Guaratingueta, Brazil-
dc.description.affiliationUnespSão Paulo State Univ, Dept Math, Guaratingueta, Brazil-
dc.identifier.doi10.1016/j.eswa.2010.09.149-
dc.identifier.wosWOS:000287419900040-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofExpert Systems with Applications-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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