@Article{LuzSBCFGMG:2013:WeEsFi,
               author = "Luz, Eduardo F. P. da and Santos, Ariane F. dos and Becceneri, 
                         Jos{\'e} C. and Campos Velho, Haroldo F. de and Freitas, Saulo R. 
                         and Gan, Manoel A. and Mattos, Jo{\~a}o G. Z. de and Grell, Georg 
                         A.",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Weights estimation by firefly with predation optimization for 
                         ensemble precipitation prediction using brams",
              journal = "Ci{\^e}ncia e Natura",
                 year = "2013",
               volume = "Edi{\c{c}}{\~a}o Esp. Dez. 2013",
                pages = "091 - 093",
             keywords = "precipitation prediction.",
             abstract = "Uma m{\'e}dia ponderada usando diferentes esquemas de 
                         convec{\c{c}}{\~a}o pode ser usada em previs{\~a}o. O problema 
                         inverso de estima{\c{c}}{\~a}o de par{\^a}metros {\'e} 
                         formulado pela a diferen{\c{c}}a quadr{\'a}tica entre a 
                         precipita{\c{c}}{\~a}o medida e a calculada. A 
                         fun{\c{c}}{\~a}o objetivo {\'e} minimizada pelo Algoritmo 
                         Firefly com Preda{\c{c}}{\~a}o. O m{\'e}todo {\'e} aplicado ao 
                         c{\'o}digo BRAMS. ABSTRACT: The precipitation prediction is 
                         addressed by weighted average. The weight identification is a 
                         parameter estimation inverse problem formulated by the square 
                         difference between measurements and computed precipitations. The 
                         metaheuristic Firefly Algorithm with Predation (FAP) is used to 
                         compute the best weights. The method is applied to the BRAMS 
                         code.",
                  doi = "10.5902/2179-460X11560",
                  url = "http://dx.doi.org/10.5902/2179-460X11560",
                 issn = "0100-8307",
                label = "self-archiving-INPE-MCTI-GOV-BR",
             language = "en",
           targetfile = "luz_et_all_2013.pdf",
        urlaccessdate = "30 abr. 2024"
}