Filtros : "ALGORITMOS GENÉTICOS" "Indexado no GeoRef" Removido: "International Conference on Artificial Intelligence and Soft Computing - ICAISC" Limpar

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  • Source: Ingeniería e Investigación. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, SERVIÇO AO CLIENTE, TOMADA DE DECISÃO, ENGENHARIA DE PRODUÇÃO

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    • ABNT

      PINTO, Anderson Rogério Faia e NAGANO, Marcelo Seido. An efficient algorithm applied to optimized billing sequencing. Ingeniería e Investigación, v. 42, n. 2, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.15446/ing.investig.v42n2.83394. Acesso em: 27 nov. 2025.
    • APA

      Pinto, A. R. F., & Nagano, M. S. (2022). An efficient algorithm applied to optimized billing sequencing. Ingeniería e Investigación, 42( 2), 1-12. doi:10.15446/ing.investig.v42n2.83394
    • NLM

      Pinto ARF, Nagano MS. An efficient algorithm applied to optimized billing sequencing [Internet]. Ingeniería e Investigación. 2022 ; 42( 2): 1-12.[citado 2025 nov. 27 ] Available from: https://doi.org/10.15446/ing.investig.v42n2.83394
    • Vancouver

      Pinto ARF, Nagano MS. An efficient algorithm applied to optimized billing sequencing [Internet]. Ingeniería e Investigación. 2022 ; 42( 2): 1-12.[citado 2025 nov. 27 ] Available from: https://doi.org/10.15446/ing.investig.v42n2.83394
  • Source: International Journal of Electrical Power and Energy Systems. Unidades: ICMC, EESC

    Subjects: ALGORITMOS GENÉTICOS, TRANSFORMADA DE FOURIER, SISTEMAS ELÉTRICOS DE POTÊNCIA

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      SILVA, Raphael Philipe Mendes da e DELBEM, Alexandre Cláudio Botazzo e COURY, Denis Vinicius. Genetic algorithms applied to phasor estimation and frequency tracking in PMU development. International Journal of Electrical Power and Energy Systems, v. 44, n. Ja 2013, p. 921-929, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2012.07.070. Acesso em: 27 nov. 2025.
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      Silva, R. P. M. da, Delbem, A. C. B., & Coury, D. V. (2013). Genetic algorithms applied to phasor estimation and frequency tracking in PMU development. International Journal of Electrical Power and Energy Systems, 44( Ja 2013), 921-929. doi:10.1016/j.ijepes.2012.07.070
    • NLM

      Silva RPM da, Delbem ACB, Coury DV. Genetic algorithms applied to phasor estimation and frequency tracking in PMU development [Internet]. International Journal of Electrical Power and Energy Systems. 2013 ; 44( Ja 2013): 921-929.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ijepes.2012.07.070
    • Vancouver

      Silva RPM da, Delbem ACB, Coury DV. Genetic algorithms applied to phasor estimation and frequency tracking in PMU development [Internet]. International Journal of Electrical Power and Energy Systems. 2013 ; 44( Ja 2013): 921-929.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ijepes.2012.07.070
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. Unidade: EESC

    Subjects: SISTEMAS IMUNOLÓGICOS ARTIFICIAIS, ALGORITMOS GENÉTICOS

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      FRANCISCO, Daniela Oliveira e SILVA, Ivan Nunes da. On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-34487-9_77. Acesso em: 27 nov. 2025. , 2012
    • APA

      Francisco, D. O., & Silva, I. N. da. (2012). On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-34487-9_77
    • NLM

      Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
    • Vancouver

      Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
  • Source: Advances in Engineering Software. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, MECÂNICA DO DANO

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      VILLALBA MORALES, Jesús Daniel e LAIER, José Elias. Localising and quantifying damage by means of a multi-chromosome genetic algorithm. Advances in Engineering Software, v. 50, p. 150-157, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.advengsoft.2012.02.002. Acesso em: 27 nov. 2025.
    • APA

      Villalba Morales, J. D., & Laier, J. E. (2012). Localising and quantifying damage by means of a multi-chromosome genetic algorithm. Advances in Engineering Software, 50, 150-157. doi:10.1016/j.advengsoft.2012.02.002
    • NLM

      Villalba Morales JD, Laier JE. Localising and quantifying damage by means of a multi-chromosome genetic algorithm [Internet]. Advances in Engineering Software. 2012 ; 50 150-157.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.advengsoft.2012.02.002
    • Vancouver

      Villalba Morales JD, Laier JE. Localising and quantifying damage by means of a multi-chromosome genetic algorithm [Internet]. Advances in Engineering Software. 2012 ; 50 150-157.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.advengsoft.2012.02.002
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artifical Intelligence and Soft Computing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO DINÂMICA

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      PIRES, Matheus Giovanni e SILVA, Ivan Nunes da. Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-13232-2_10. Acesso em: 27 nov. 2025. , 2010
    • APA

      Pires, M. G., & Silva, I. N. da. (2010). Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-13232-2_10
    • NLM

      Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
    • Vancouver

      Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO NÃO LINEAR

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      BERTONI, Fabiana Cristina e SILVA, Ivan Nunes da. Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-10677-4_30. Acesso em: 27 nov. 2025. , 2009
    • APA

      Bertoni, F. C., & Silva, I. N. da. (2009). Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-10677-4_30
    • NLM

      Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
    • Vancouver

      Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30

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