Filtros : "Indexado no Inspec" "Toledo, Claudio Fabiano Motta" Removido: "Souza, Gustavo de Moura" Limpar

Filtros



Limitar por data


  • Fonte: International Journal of Advanced Manufacturing Technology. Unidade: ICMC

    Assuntos: MODELOS MATEMÁTICOS, PROCESSOS ESTOCÁSTICOS, ÓLEO DE SOJA, INDÚSTRIA 4.0

    PrivadoAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FERREIRA, Magna Paulina de Souza et al. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production. International Journal of Advanced Manufacturing Technology, v. 121, p. 2773-2786, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00170-022-09439-y. Acesso em: 01 nov. 2024.
    • APA

      Ferreira, M. P. de S., Arantes, M. da S., Arantes, J. da S., Bonnard, R., & Toledo, C. F. M. (2022). Stochastic model for setpoint of a rolling mill: an application in the soybean oil production. International Journal of Advanced Manufacturing Technology, 121, 2773-2786. doi:10.1007/s00170-022-09439-y
    • NLM

      Ferreira MP de S, Arantes M da S, Arantes J da S, Bonnard R, Toledo CFM. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production [Internet]. International Journal of Advanced Manufacturing Technology. 2022 ; 121 2773-2786.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s00170-022-09439-y
    • Vancouver

      Ferreira MP de S, Arantes M da S, Arantes J da S, Bonnard R, Toledo CFM. Stochastic model for setpoint of a rolling mill: an application in the soybean oil production [Internet]. International Journal of Advanced Manufacturing Technology. 2022 ; 121 2773-2786.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s00170-022-09439-y
  • Fonte: Computers and Electrical Engineering. Unidade: ICMC

    Assuntos: ENGENHARIA DE SOFTWARE, SISTEMAS DE INFORMAÇÃO, SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, COMPUTAÇÃO EM NUVEM, ALGORITMOS GENÉTICOS

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SHISHIDO, Henrique Yoshikazu et al. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds. Computers and Electrical Engineering, v. 69, p. 378-394, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compeleceng.2017.12.004. Acesso em: 01 nov. 2024.
    • APA

      Shishido, H. Y., Estrella, J. C., Toledo, C. F. M., & Arantes, M. S. (2018). Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds. Computers and Electrical Engineering, 69, 378-394. doi:10.1016/j.compeleceng.2017.12.004
    • NLM

      Shishido HY, Estrella JC, Toledo CFM, Arantes MS. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds [Internet]. Computers and Electrical Engineering. 2018 ; 69 378-394.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004
    • Vancouver

      Shishido HY, Estrella JC, Toledo CFM, Arantes MS. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds [Internet]. Computers and Electrical Engineering. 2018 ; 69 378-394.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004
  • Fonte: International Journal on Artificial Intelligence Tools. Unidade: ICMC

    Assuntos: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, ROBÓTICA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      ARANTES, Jesimar da Silva et al. Heuristic and genetic algorithm approaches for UAV path planning under critical situation. International Journal on Artificial Intelligence Tools, v. 26, n. 1, p. 1760008-1-1760008-30, 2017Tradução . . Disponível em: https://doi.org/10.1142/S0218213017600089. Acesso em: 01 nov. 2024.
    • APA

      Arantes, J. da S., Arantes, M. da S., Toledo, C. F. M., Trindade Junior, O., & Williams, B. C. (2017). Heuristic and genetic algorithm approaches for UAV path planning under critical situation. International Journal on Artificial Intelligence Tools, 26( 1), 1760008-1-1760008-30. doi:10.1142/S0218213017600089
    • NLM

      Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. Heuristic and genetic algorithm approaches for UAV path planning under critical situation [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 1): 1760008-1-1760008-30.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1142/S0218213017600089
    • Vancouver

      Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. Heuristic and genetic algorithm approaches for UAV path planning under critical situation [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 1): 1760008-1-1760008-30.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1142/S0218213017600089
  • Fonte: Applied Soft Computing. Unidade: ICMC

    Assuntos: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      ROSA, L. S et al. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, v. 49, p. 447-461, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2016.08.035. Acesso em: 01 nov. 2024.
    • APA

      Rosa, L. S., Delbem, A. C. B., Toledo, C. F. M., & Bonato, V. (2016). Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, 49, 447-461. doi:10.1016/j.asoc.2016.08.035
    • NLM

      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
    • Vancouver

      Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
  • Fonte: Applied Soft Computing. Unidade: ICMC

    Assuntos: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      PAIVA, Jonatas Lopes de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, v. 46, p. 778-791, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.09.013. Acesso em: 01 nov. 2024.
    • APA

      Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. doi:10.1016/j.asoc.2015.09.013
    • NLM

      Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
    • Vancouver

      Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
  • Fonte: Applied Soft Computing. Unidade: ICMC

    Assunto: OTIMIZAÇÃO

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      TOLEDO, Claudio Fabiano Motta et al. Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, v. 13, n. 3, p. 1352\20131364, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2012.03.074. Acesso em: 01 nov. 2024.
    • APA

      Toledo, C. F. M., Arantes, M. da S., Oliveira, R. R. R. de, & Almada-Lobo, B. (2013). Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, 13( 3), 1352\20131364. doi:10.1016/j.asoc.2012.03.074
    • NLM

      Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
    • Vancouver

      Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074

Biblioteca Digital de Produção Intelectual da Universidade de São Paulo     2012 - 2024