Filtros : "multi-objective optimization" Removido: "2017" Limpar

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  • Source: Polymers. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, POLÍMEROS (MATERIAIS), MINERAÇÃO DE DADOS, TOMADA DE DECISÃO

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    • ABNT

      GASPAR-CUNHA, António et al. Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making. Polymers, v. 15, n. 9, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.3390/polym15092212. Acesso em: 27 jan. 2026.
    • APA

      Gaspar-Cunha, A., Costa, P., Delbem, A. C. B., Monaco, F. J., Ferreira, M. J., & José Covas,. (2023). Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making. Polymers, 15( 9), 1-23. doi:10.3390/polym15092212
    • NLM

      Gaspar-Cunha A, Costa P, Delbem ACB, Monaco FJ, Ferreira MJ, José Covas. Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making [Internet]. Polymers. 2023 ; 15( 9): 1-23.[citado 2026 jan. 27 ] Available from: https://doi.org/10.3390/polym15092212
    • Vancouver

      Gaspar-Cunha A, Costa P, Delbem ACB, Monaco FJ, Ferreira MJ, José Covas. Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making [Internet]. Polymers. 2023 ; 15( 9): 1-23.[citado 2026 jan. 27 ] Available from: https://doi.org/10.3390/polym15092212
  • Source: Mathematical and Computational Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, BENCHMARKS, MINERAÇÃO DE DADOS

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    • ABNT

      GASPAR-CUNHA, António et al. Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, v. 28, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/mca28010017. Acesso em: 27 jan. 2026.
    • APA

      Gaspar-Cunha, A., Costa, P., Monaco, F. J., & Delbem, A. C. B. (2023). Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, 28, 1-19. doi:10.3390/mca28010017
    • NLM

      Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2026 jan. 27 ] Available from: https://doi.org/10.3390/mca28010017
    • Vancouver

      Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2026 jan. 27 ] Available from: https://doi.org/10.3390/mca28010017
  • Source: Proceedings. Conference titles: International Conference on Processing of Composites and Nanocomposites Materials. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS

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    • ABNT

      GASPAR-CUNHA, António et al. Multi-objective optimization of single screw polymer extrusion based on artificial intelligence. 2022, Anais.. Kosice: Technical University of Kosice, 2022. Disponível em: https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf. Acesso em: 27 jan. 2026.
    • APA

      Gaspar-Cunha, A., Monaco, F. J., Sikora, J., & Delbem, A. C. B. (2022). Multi-objective optimization of single screw polymer extrusion based on artificial intelligence. In Proceedings. Kosice: Technical University of Kosice. Recuperado de https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf
    • NLM

      Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Multi-objective optimization of single screw polymer extrusion based on artificial intelligence [Internet]. Proceedings. 2022 ;[citado 2026 jan. 27 ] Available from: https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf
    • Vancouver

      Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Multi-objective optimization of single screw polymer extrusion based on artificial intelligence [Internet]. Proceedings. 2022 ;[citado 2026 jan. 27 ] Available from: https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf
  • Source: Proceedings. Conference titles: Congreso de Métodos Numéricos en Ingeniería - CMN. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      GASPAR-CUNHA, António et al. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion. 2022, Anais.. Barcelona: SEMNI, 2022. Disponível em: https://congress.cimne.com/cmn2022/frontal/program.asp. Acesso em: 27 jan. 2026.
    • APA

      Gaspar-Cunha, A., Delbem, A. C. B., Costa, P., & Monaco, F. J. (2022). Application of artificial intelligence techniques in the optimization of single screw polymer extrusion. In Proceedings. Barcelona: SEMNI. Recuperado de https://congress.cimne.com/cmn2022/frontal/program.asp
    • NLM

      Gaspar-Cunha A, Delbem ACB, Costa P, Monaco FJ. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion [Internet]. Proceedings. 2022 ;[citado 2026 jan. 27 ] Available from: https://congress.cimne.com/cmn2022/frontal/program.asp
    • Vancouver

      Gaspar-Cunha A, Delbem ACB, Costa P, Monaco FJ. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion [Internet]. Proceedings. 2022 ;[citado 2026 jan. 27 ] Available from: https://congress.cimne.com/cmn2022/frontal/program.asp
  • Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference. Unidade: FFCLRP

    Subjects: RESOLUÇÃO DE PROBLEMAS, INTELIGÊNCIA

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    • ABNT

      CHICANO, Francisco e WHITLEY, Darrell e TINÓS, Renato. Efficient hill climber for constrained pseudo-Boolean optimization problems. 2016, Anais.. Denver: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2016. Disponível em: https://doi.org/10.1145/2908812.2908869. Acesso em: 27 jan. 2026.
    • APA

      Chicano, F., Whitley, D., & Tinós, R. (2016). Efficient hill climber for constrained pseudo-Boolean optimization problems. In Proceedings. Denver: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1145/2908812.2908869
    • NLM

      Chicano F, Whitley D, Tinós R. Efficient hill climber for constrained pseudo-Boolean optimization problems [Internet]. Proceedings. 2016 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.1145/2908812.2908869
    • Vancouver

      Chicano F, Whitley D, Tinós R. Efficient hill climber for constrained pseudo-Boolean optimization problems [Internet]. Proceedings. 2016 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.1145/2908812.2908869

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