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Filtros : "ALGORITMOS GENÉTICOS" "Neurocomputing" Removido: "Indexado no Web of Science" Limpar

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  • Artigo de periodico

    Optimizing urban traffic flow using genetic algorithm with Petri net analysis as fitness function (2014)

    Dezani, Henrique; Bassi, Regiane Denise Solgon; Marranghello, Norian; Gomes, Luís; Damiani, Furio; Silva, Ivan Nunes da

    Source: Neurocomputing. Unidade: EESC

    Subjects: ENGENHARIA DE TRÁFEGO (OTIMIZAÇÃO), SISTEMAS DE CONTROLE, TEMPO-REAL, ALGORITMOS GENÉTICOS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      DEZANI, Henrique et al. Optimizing urban traffic flow using genetic algorithm with Petri net analysis as fitness function. Neurocomputing, v. 124, n. Ja 2014, p. 162-167, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2013.07.015. Acesso em: 27 nov. 2025.

    • APA

      Dezani, H., Bassi, R. D. S., Marranghello, N., Gomes, L., Damiani, F., & Silva, I. N. da. (2014). Optimizing urban traffic flow using genetic algorithm with Petri net analysis as fitness function. Neurocomputing, 124( Ja 2014), 162-167. doi:10.1016/j.neucom.2013.07.015

    • NLM

      Dezani H, Bassi RDS, Marranghello N, Gomes L, Damiani F, Silva IN da. Optimizing urban traffic flow using genetic algorithm with Petri net analysis as fitness function [Internet]. Neurocomputing. 2014 ; 124( Ja 2014): 162-167.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2013.07.015

    • Vancouver

      Dezani H, Bassi RDS, Marranghello N, Gomes L, Damiani F, Silva IN da. Optimizing urban traffic flow using genetic algorithm with Petri net analysis as fitness function [Internet]. Neurocomputing. 2014 ; 124( Ja 2014): 162-167.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2013.07.015

  • Artigo de periodico

    Towards an efficient genetic algorithm optimizer for sequential projection pursuit (2014)

    Espezua, Soledad; Villanueva, Edwin; Maciel, Carlos Dias

    Source: Neurocomputing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, BENCHMARKS, OPERADORES

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      ESPEZUA, Soledad e VILLANUEVA, Edwin e MACIEL, Carlos Dias. Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing, v. 123, n. Ja 2014, p. 40-48, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2012.09.045. Acesso em: 27 nov. 2025.

    • APA

      Espezua, S., Villanueva, E., & Maciel, C. D. (2014). Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing, 123( Ja 2014), 40-48. doi:10.1016/j.neucom.2012.09.045

    • NLM

      Espezua S, Villanueva E, Maciel CD. Towards an efficient genetic algorithm optimizer for sequential projection pursuit [Internet]. Neurocomputing. 2014 ; 123( Ja 2014): 40-48.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2012.09.045

    • Vancouver

      Espezua S, Villanueva E, Maciel CD. Towards an efficient genetic algorithm optimizer for sequential projection pursuit [Internet]. Neurocomputing. 2014 ; 123( Ja 2014): 40-48.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2012.09.045
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