Filtros : "Indexado no Inspec" "Toledo, Claudio Fabiano Motta" Limpar

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

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

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      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: 04 nov. 2024.
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      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
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      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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/s00170-022-09439-y
  • Source: Computers and Electrical Engineering. Unidade: ICMC

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

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      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: 04 nov. 2024.
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      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
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      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. 04 ] 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. 04 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004
  • Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, ROBÓTICA

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      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: 04 nov. 2024.
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      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
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      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. 04 ] 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. 04 ] Available from: https://doi.org/10.1142/S0218213017600089
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      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: 04 nov. 2024.
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      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
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      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. 04 ] 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. 04 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      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: 04 nov. 2024.
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      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. 04 ] 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. 04 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
  • Source: Applied Soft Computing. Unidade: ICMC

    Assunto: OTIMIZAÇÃO

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      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: 04 nov. 2024.
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      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
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      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. 04 ] 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. 04 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024