Filtros : "Computers and Operations Research" "Inglaterra" Limpar

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  • Source: Computers and Operations Research. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, HEURÍSTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      MÁXIMO, Vinícius R e NASCIMENTO, Mariá C. V e CARVALHO, André Carlos Ponce de Leon Ferreira de. Intelligent-guided adaptive search for the maximum covering location problem. Computers and Operations Research, v. 78, p. 129-137, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.08.018. Acesso em: 09 nov. 2025.
    • APA

      Máximo, V. R., Nascimento, M. C. V., & Carvalho, A. C. P. de L. F. de. (2017). Intelligent-guided adaptive search for the maximum covering location problem. Computers and Operations Research, 78, 129-137. doi:10.1016/j.cor.2016.08.018
    • NLM

      Máximo VR, Nascimento MCV, Carvalho ACP de LF de. Intelligent-guided adaptive search for the maximum covering location problem [Internet]. Computers and Operations Research. 2017 ; 78 129-137.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018
    • Vancouver

      Máximo VR, Nascimento MCV, Carvalho ACP de LF de. Intelligent-guided adaptive search for the maximum covering location problem [Internet]. Computers and Operations Research. 2017 ; 78 129-137.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018
  • Source: Computers and Operations Research. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO LINEAR, COMPUTAÇÃO APLICADA, PLANEJAMENTO DA PRODUÇÃO, INDÚSTRIA DE BEBIDAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      TOLEDO, Claudio Fabiano Motta et al. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem. Computers and Operations Research, v. 48, p. 40-52, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2014.02.012. Acesso em: 09 nov. 2025.
    • APA

      Toledo, C. F. M., Oliveira, L. de, Pereira, R. de F., França, P. M., & Morabito, R. (2014). A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem. Computers and Operations Research, 48, 40-52. doi:10.1016/j.cor.2014.02.012
    • NLM

      Toledo CFM, Oliveira L de, Pereira R de F, França PM, Morabito R. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem [Internet]. Computers and Operations Research. 2014 ; 48 40-52.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2014.02.012
    • Vancouver

      Toledo CFM, Oliveira L de, Pereira R de F, França PM, Morabito R. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem [Internet]. Computers and Operations Research. 2014 ; 48 40-52.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2014.02.012
  • Source: Computers and Operations Research. Unidades: IME, EP

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg et al. Orthogonal packing of rectangular items within arbitrary convex regions by nonlinear optimization. Computers and Operations Research, v. 33, n. 12, p. 3535-3548, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2005.03.031. Acesso em: 09 nov. 2025.
    • APA

      Birgin, E. J. G., Martínez, J. M., Nishihara, F. H., & Ronconi, D. P. (2006). Orthogonal packing of rectangular items within arbitrary convex regions by nonlinear optimization. Computers and Operations Research, 33( 12), 3535-3548. doi:10.1016/j.cor.2005.03.031
    • NLM

      Birgin EJG, Martínez JM, Nishihara FH, Ronconi DP. Orthogonal packing of rectangular items within arbitrary convex regions by nonlinear optimization [Internet]. Computers and Operations Research. 2006 ; 33( 12): 3535-3548.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2005.03.031
    • Vancouver

      Birgin EJG, Martínez JM, Nishihara FH, Ronconi DP. Orthogonal packing of rectangular items within arbitrary convex regions by nonlinear optimization [Internet]. Computers and Operations Research. 2006 ; 33( 12): 3535-3548.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2005.03.031

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