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@InProceedings{RodriguesSiMaMiDiLu:2016:MuOpAp,
               author = "Rodrigues, Douglas Miranda and Silvar, Aneirson Francisco da and 
                         Marins, Fernando Augusto Silva and Miranda, Rafael de Carvalho and 
                         Dias, {\'E}rica Ximenes and Luche, Jos{\'e} Roberto Dale",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Universidade Federal de 
                         Itajub{\'a} (UNIFEI)} and {Universidade Estadual Paulista 
                         (UNESP)} and {Universidade Estadual Paulista (UNESP)}",
                title = "Multiobjective optimization application in doe problems with 
                         multiple responses",
                 year = "2016",
         organization = "International Conference on Nonlinear Science and Complexity, 6.",
             keywords = "Epidemiology and Mathematical Models, Modeling, Numerical 
                         Simulation and Optimization, Nonlinear Systems and Neural 
                         Dynamics, Goal Programming, Compromise Programming.",
             abstract = "In many areas, from Engineering to Economics, problems present 
                         themselves as multiobjective, which makes a decision-making 
                         process complex. Generally, these are conflicting objectives, and 
                         optimization techniques are necessary to achieve better results. 
                         This paper applies agglutination methods in classical problems of 
                         design of experiments with multiple responses. A theoretical 
                         review was made, and a new method was developed, using Compromise 
                         Programming and Goal Programming, with results comparison and 
                         analysis. The new proposal presented better results when compared 
                         to the traditional approach, qualifying this procedure as an 
                         alternative in multiple responses optimization.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "16-20 May",
             language = "en",
        urlaccessdate = "29 nov. 2020"
}


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