Filtros : "Computers and Operations Research" "TOLEDO, CLÁUDIO FABIANO MOTTA" Limpar

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  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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    • ABNT

      TOLEDO, Claudio Fabiano Motta et al. Mathematical programming-based approaches for multi-facility glass container production planning. Computers and Operations Research, v. 74, p. 92-107, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.02.019. Acesso em: 09 nov. 2025.
    • APA

      Toledo, C. F. M., Arantes, M. da S., Hossomi, M. Y. B., & Almada-Lobo, B. (2016). Mathematical programming-based approaches for multi-facility glass container production planning. Computers and Operations Research, 74, 92-107. doi:10.1016/j.cor.2016.02.019
    • NLM

      Toledo CFM, Arantes M da S, Hossomi MYB, Almada-Lobo B. Mathematical programming-based approaches for multi-facility glass container production planning [Internet]. Computers and Operations Research. 2016 ; 74 92-107.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2016.02.019
    • Vancouver

      Toledo CFM, Arantes M da S, Hossomi MYB, Almada-Lobo B. Mathematical programming-based approaches for multi-facility glass container production planning [Internet]. Computers and Operations Research. 2016 ; 74 92-107.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2016.02.019
  • Fonte: Computers and Operations Research. Unidade: ICMC

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

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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
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assunto: OTIMIZAÇÃO

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    • ABNT

      TOLEDO, Claudio Fabiano Motta e OLIVEIRA, Renato Resende Ribeiro de e FRANÇA, Paulo Morelato. A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging. Computers and Operations Research, v. 40, n. 4, p. 910\2013919, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2012.11.002. Acesso em: 09 nov. 2025.
    • APA

      Toledo, C. F. M., Oliveira, R. R. R. de, & França, P. M. (2013). A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging. Computers and Operations Research, 40( 4), 910\2013919. doi:10.1016/j.cor.2012.11.002
    • NLM

      Toledo CFM, Oliveira RRR de, França PM. A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging [Internet]. Computers and Operations Research. 2013 ; 40( 4): 910\2013919.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2012.11.002
    • Vancouver

      Toledo CFM, Oliveira RRR de, França PM. A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging [Internet]. Computers and Operations Research. 2013 ; 40( 4): 910\2013919.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.cor.2012.11.002

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