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@Article{OliveiraChavLore:2017:CoTwHy,
               author = "Oliveira, Rudinei Martins and Chaves, Antonio Augusto and Lorena, 
                         Luiz Antonio Nogueira",
          affiliation = "{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A comparison of two hybrid methods for constrained clustering 
                         problems",
              journal = "Applied Soft Computing Journal",
                 year = "2017",
               volume = "54",
                pages = "256--266",
                month = "May",
             keywords = "BRKGA, Clustering, Column generation.",
             abstract = "This paper proposes two hybrid heuristics to solve the constrained 
                         clustering problem. This problem consists of partitioning a set of 
                         objects into clusters with similar members that satisfy must-link 
                         and cannot-link constraints. A must-link constraint indicates that 
                         two selected objects must be in the same cluster, and cannot-link 
                         constraint means that two selected objects must be in distinct 
                         clusters. The two proposed hybrid methods are biased random key 
                         genetic algorithm (BRKGA) with local search (LS) heuristic and 
                         column generation (CG) with path-relinking (PR) and local search 
                         (LS) heuristic. Computational experiments considering instances 
                         available in the literature are presented to demonstrate the 
                         efficacy of the proposed methods to solve the constrained 
                         clustering problem. Moreover, the results of the CG and BRKGA are 
                         compared with the CCCG, CP and CPRBBA method.",
                  doi = "10.1016/j.asoc.2017.01.023",
                  url = "http://dx.doi.org/10.1016/j.asoc.2017.01.023",
                 issn = "1568-4946 and 1872-9681",
             language = "en",
           targetfile = "oliveira_comparison.pdf",
        urlaccessdate = "05 dez. 2020"
}


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