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@Article{RabelloMaurRibeLore:2014:ClSeMe,
               author = "Rabello, Romulo Louzada and Mauri, Geraldo Regis and Ribeiro, 
                         Glaydston Mattos and Lorena, Luiz Antonio Nogueira",
          affiliation = "UFES, BR-29500000 Alegre, ES, Brazil. and UFES, BR-29500000 
                         Alegre, ES, Brazil. and Fed Univ Rio de Janeiro UFRJ, BR-21945970 
                         Rio De Janeiro, RJ, Brazil. and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "A Clustering Search metaheuristic for the Point-Feature 
                         Cartographic Label Placement Problem",
              journal = "European Journal of Operational Research",
                 year = "2014",
               volume = "234",
               number = "3",
                pages = "802--808",
                month = "May",
             keywords = "metaheuristics, combinatorial optimization, clustering search, 
                         point-feature cartographic label placement.",
             abstract = "The Point-Feature Cartographic Label Placement (PFCLP) problem 
                         consists of placing text labels to point features on a map 
                         avoiding overlaps to improve map visualization. This paper 
                         presents a Clustering Search (CS) metaheuristic as a new 
                         alternative to solve the PFCLP problem. Computational experiments 
                         were performed over sets of instances with up to 13,206 points. 
                         These instances are the same used in several recent and important 
                         researches about the PFCLP problem. The results enhance the 
                         potential of CS by finding optimal solutions (proven in previous 
                         works) and improving the best-known solutions for instances whose 
                         optimal solutions are unknown so far. (C) 2013 Elsevier B.V. All 
                         rights reserved.",
                  doi = "10.1016/j.ejor.2013.10.021",
                  url = "http://dx.doi.org/10.1016/j.ejor.2013.10.021",
                 issn = "0377-2217",
                label = "isi 2014-05 RabelloMaurRibeNogu:2014:ClSeMe",
             language = "en",
           targetfile = "1-s2.0-S0377221713008448-main.pdf",
        urlaccessdate = "29 nov. 2020"
}


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