Clustering search

dc.contributorUniversidade Federal do Maranhão
dc.contributorUniversidade Federal de São Paulo (UNIFESP)
dc.contributorInstituto Nacional de Pesquisas Espaciais
dc.creatorOliveira, Alexandre César Muniz De
dc.creatorChaves, Antonio Augusto
dc.creatorLorena, Luiz Antonio Nogueira
dc.date.accessioned2015-06-14T13:45:23Z
dc.date.accessioned2019-05-24T17:12:37Z
dc.date.available2015-06-14T13:45:23Z
dc.date.available2019-05-24T17:12:37Z
dc.date.created2015-06-14T13:45:23Z
dc.date.issued2013-04-01
dc.identifierPesquisa Operacional. Sociedade Brasileira de Pesquisa Operacional, v. 33, n. 1, p. 105-121, 2013.
dc.identifier0101-7438
dc.identifierhttp://repositorio.unifesp.br/handle/11600/7709
dc.identifierS0101-74382013000100007.pdf
dc.identifierS0101-74382013000100007
dc.identifier10.1590/S0101-74382013000100007
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2826961
dc.description.abstractThis paper presents the Clustering Search (CS) as a new hybrid metaheuristic, which works in conjunction with other metaheuristics, managing the implementation of local search algorithms for optimization problems. Usually the local search is costly and should be used only in promising regions of the search space. The CS assists in the discovery of these regions by dividing the search space into clusters. The CS and its applications are reviewed and a case study for a problem of capacitated clustering is presented.
dc.languageeng
dc.publisherSociedade Brasileira de Pesquisa Operacional
dc.relationPesquisa Operacional
dc.rightsAcesso aberto
dc.subjecthybrid metaheuristic
dc.subjectClustering Search
dc.subjectoptimization
dc.titleClustering search
dc.typeArtículos de revistas


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