Clustering search
This 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.
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Sociedade Brasileira de Pesquisa Operacional
2013
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oai:scielo:S0101-743820130001000072013-05-24Clustering searchOliveira,Alexandre César Muniz deChaves,Antonio AugustoLorena,Luiz Antonio Nogueira hybrid metaheuristic Clustering Search optimization This 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.info:eu-repo/semantics/openAccessSociedade Brasileira de Pesquisa OperacionalPesquisa Operacional v.33 n.1 20132013-04-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382013000100007en10.1590/S0101-74382013000100007 |
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Oliveira,Alexandre César Muniz de Chaves,Antonio Augusto Lorena,Luiz Antonio Nogueira |
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Oliveira,Alexandre César Muniz de Chaves,Antonio Augusto Lorena,Luiz Antonio Nogueira Clustering search |
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Oliveira,Alexandre César Muniz de Chaves,Antonio Augusto Lorena,Luiz Antonio Nogueira |
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Clustering search |
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Clustering search |
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Clustering search |
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Clustering search |
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Clustering search |
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clustering search |
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This 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. |
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Sociedade Brasileira de Pesquisa Operacional |
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2013 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382013000100007 |
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AT oliveiraalexandrecesarmunizde clusteringsearch AT chavesantonioaugusto clusteringsearch AT lorenaluizantonionogueira clusteringsearch |
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1756394174292164608 |