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  • Fonte: Computers and Operations Research. Unidade: EESC

    Assuntos: BENCHMARKS, HEURÍSTICA, SEMICONDUTORES, ENGENHARIA DE PRODUÇÃO

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      ROLIM, Gustavo Alencar e NAGANO, Marcelo Seido e PRATA, Bruno de Athayde. Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window. Computers and Operations Research, v. 153, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2023.106159. Acesso em: 06 jun. 2024.
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      Rolim, G. A., Nagano, M. S., & Prata, B. de A. (2023). Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window. Computers and Operations Research, 153, 1-18. doi:10.1016/j.cor.2023.106159
    • NLM

      Rolim GA, Nagano MS, Prata B de A. Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window [Internet]. Computers and Operations Research. 2023 ; 153 1-18.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2023.106159
    • Vancouver

      Rolim GA, Nagano MS, Prata B de A. Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window [Internet]. Computers and Operations Research. 2023 ; 153 1-18.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2023.106159
  • Fonte: Computers and Operations Research. Unidade: EESC

    Assunto: ENGENHARIA DE PRODUÇÃO

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    • ABNT

      ABREU, Levi Ribeiro de et al. New efficient heuristics for scheduling open shops with makespan minimization. Computers and Operations Research, v. 142, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2022.105744. Acesso em: 06 jun. 2024.
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      Abreu, L. R. de, Prata, B. de A., Framinan, J. M., & Nagano, M. S. (2022). New efficient heuristics for scheduling open shops with makespan minimization. Computers and Operations Research, 142, 1-21. doi:10.1016/j.cor.2022.105744
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      Abreu LR de, Prata B de A, Framinan JM, Nagano MS. New efficient heuristics for scheduling open shops with makespan minimization [Internet]. Computers and Operations Research. 2022 ; 142 1-21.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2022.105744
    • Vancouver

      Abreu LR de, Prata B de A, Framinan JM, Nagano MS. New efficient heuristics for scheduling open shops with makespan minimization [Internet]. Computers and Operations Research. 2022 ; 142 1-21.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2022.105744
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: EFEITO ESTUFA, MODELOS MATEMÁTICOS, EMBALAGENS

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      FERREIRA, Kamyla Maria e QUEIROZ, Thiago Alves de e TOLEDO, Franklina Maria Bragion de. An exact approach for the green vehicle routing problem with two-dimensional loading constraints and split delivery. Computers and Operations Research, v. 136, p. 1-27, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2021.105452. Acesso em: 06 jun. 2024.
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      Ferreira, K. M., Queiroz, T. A. de, & Toledo, F. M. B. de. (2021). An exact approach for the green vehicle routing problem with two-dimensional loading constraints and split delivery. Computers and Operations Research, 136, 1-27. doi:10.1016/j.cor.2021.105452
    • NLM

      Ferreira KM, Queiroz TA de, Toledo FMB de. An exact approach for the green vehicle routing problem with two-dimensional loading constraints and split delivery [Internet]. Computers and Operations Research. 2021 ; 136 1-27.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2021.105452
    • Vancouver

      Ferreira KM, Queiroz TA de, Toledo FMB de. An exact approach for the green vehicle routing problem with two-dimensional loading constraints and split delivery [Internet]. Computers and Operations Research. 2021 ; 136 1-27.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2021.105452
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: CORTE, PRODUÇÃO INDUSTRIAL, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      SILVA, Everton Fernandes da et al. Exact approaches for the cutting path determination problem. Computers and Operations Research, v. 112, p. 1-14, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2019.104772. Acesso em: 06 jun. 2024.
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      Silva, E. F. da, Oliveira, L. T. de, Oliveira, J. F., & Toledo, F. M. B. de. (2019). Exact approaches for the cutting path determination problem. Computers and Operations Research, 112, 1-14. doi:10.1016/j.cor.2019.104772
    • NLM

      Silva EF da, Oliveira LT de, Oliveira JF, Toledo FMB de. Exact approaches for the cutting path determination problem [Internet]. Computers and Operations Research. 2019 ; 112 1-14.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2019.104772
    • Vancouver

      Silva EF da, Oliveira LT de, Oliveira JF, Toledo FMB de. Exact approaches for the cutting path determination problem [Internet]. Computers and Operations Research. 2019 ; 112 1-14.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2019.104772
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: ALGORITMOS, OTIMIZAÇÃO COMBINATÓRIA, PESQUISA OPERACIONAL

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      RODRIGUES, Marcos Okamura e TOLEDO, Franklina Maria Bragion de. A clique covering MIP model for the irregular strip packing problem. Computers and Operations Research, v. No 2017, p. 221-234, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.11.006. Acesso em: 06 jun. 2024.
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      Rodrigues, M. O., & Toledo, F. M. B. de. (2017). A clique covering MIP model for the irregular strip packing problem. Computers and Operations Research, No 2017, 221-234. doi:10.1016/j.cor.2016.11.006
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      Rodrigues MO, Toledo FMB de. A clique covering MIP model for the irregular strip packing problem [Internet]. Computers and Operations Research. 2017 ; No 2017 221-234.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2016.11.006
    • Vancouver

      Rodrigues MO, Toledo FMB de. A clique covering MIP model for the irregular strip packing problem [Internet]. Computers and Operations Research. 2017 ; No 2017 221-234.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2016.11.006
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: INTELIGÊNCIA ARTIFICIAL, HEURÍSTICA

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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: 06 jun. 2024.
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      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 2024 jun. 06 ] 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 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018
  • 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: 06 jun. 2024.
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      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 2024 jun. 06 ] 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 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2016.02.019
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: OTIMIZAÇÃO COMBINATÓRIA, PESQUISA OPERACIONAL

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    • ABNT

      FURLAN, Marcos et al. Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines. Computers and Operations Research, v. 59, p. 33-50, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2014.12.008. Acesso em: 06 jun. 2024.
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      Furlan, M., Almada-Lobo, B., Santos, M. O. dos, & Morabito, R. (2015). Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines. Computers and Operations Research, 59, 33-50. doi:10.1016/j.cor.2014.12.008
    • NLM

      Furlan M, Almada-Lobo B, Santos MO dos, Morabito R. Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines [Internet]. Computers and Operations Research. 2015 ; 59 33-50.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2014.12.008
    • Vancouver

      Furlan M, Almada-Lobo B, Santos MO dos, Morabito R. Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines [Internet]. Computers and Operations Research. 2015 ; 59 33-50.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2014.12.008
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assuntos: OTIMIZAÇÃO COMBINATÓRIA, PESQUISA OPERACIONAL

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      LEÃO, Aline Aparecida de Souza e CHERRI, Luiz H e ARENALES, Marcos Nereu. Determining the K-best solutions of knapsack problems. Computers and Operations Research, v. 49, p. 71-82, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2014.03.008. Acesso em: 06 jun. 2024.
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      Leão, A. A. de S., Cherri, L. H., & Arenales, M. N. (2014). Determining the K-best solutions of knapsack problems. Computers and Operations Research, 49, 71-82. doi:10.1016/j.cor.2014.03.008
    • NLM

      Leão AA de S, Cherri LH, Arenales MN. Determining the K-best solutions of knapsack problems [Internet]. Computers and Operations Research. 2014 ; 49 71-82.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2014.03.008
    • Vancouver

      Leão AA de S, Cherri LH, Arenales MN. Determining the K-best solutions of knapsack problems [Internet]. Computers and Operations Research. 2014 ; 49 71-82.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2014.03.008
  • Fonte: Computers and Operations Research. Unidade: ICMC

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

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      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: 06 jun. 2024.
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      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 2024 jun. 06 ] 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 2024 jun. 06 ] 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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      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: 06 jun. 2024.
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      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 2024 jun. 06 ] 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 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2012.11.002
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assunto: OTIMIZAÇÃO

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      FIGUEIRA, Gonçalo e SANTOS, Maristela Oliveira dos e ALMADA-LOBO, Bernardo. A hybrid VNS approach for the short-term production planning and scheduling: a case study in the pulp and paper industry. Computers and Operations Research, v. 40, n. 7, p. 1804-1818, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2013.01.015. Acesso em: 06 jun. 2024.
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      Figueira, G., Santos, M. O. dos, & Almada-Lobo, B. (2013). A hybrid VNS approach for the short-term production planning and scheduling: a case study in the pulp and paper industry. Computers and Operations Research, 40( 7), 1804-1818. doi:10.1016/j.cor.2013.01.015
    • NLM

      Figueira G, Santos MO dos, Almada-Lobo B. A hybrid VNS approach for the short-term production planning and scheduling: a case study in the pulp and paper industry [Internet]. Computers and Operations Research. 2013 ; 40( 7): 1804-1818.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2013.01.015
    • Vancouver

      Figueira G, Santos MO dos, Almada-Lobo B. A hybrid VNS approach for the short-term production planning and scheduling: a case study in the pulp and paper industry [Internet]. Computers and Operations Research. 2013 ; 40( 7): 1804-1818.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2013.01.015
  • Fonte: Computers and Operations Research. Unidade: ICMC

    Assunto: OTIMIZAÇÃO

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      CAMARGO, Victor Claudio Bento de e MATTIOLLI, Leandro e TOLEDO, Franklina Maria Bragion de. A knapsack problem as a tool to solve the production planning problem in small foundries. Computers and Operations Research, v. 39, n. Ja 2012, p. 86-92, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2010.10.023. Acesso em: 06 jun. 2024.
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      Camargo, V. C. B. de, Mattiolli, L., & Toledo, F. M. B. de. (2012). A knapsack problem as a tool to solve the production planning problem in small foundries. Computers and Operations Research, 39( Ja 2012), 86-92. doi:10.1016/j.cor.2010.10.023
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      Camargo VCB de, Mattiolli L, Toledo FMB de. A knapsack problem as a tool to solve the production planning problem in small foundries [Internet]. Computers and Operations Research. 2012 ; 39( Ja 2012): 86-92.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2010.10.023
    • Vancouver

      Camargo VCB de, Mattiolli L, Toledo FMB de. A knapsack problem as a tool to solve the production planning problem in small foundries [Internet]. Computers and Operations Research. 2012 ; 39( Ja 2012): 86-92.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2010.10.023
  • Fonte: Computers and Operations Research. Unidades: IME, EP

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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      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: 06 jun. 2024.
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      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
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      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 2024 jun. 06 ] 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 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.cor.2005.03.031

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