Filtros : "Multiobjective optimization" Removido: "VERRI, FILIPE ALVES NETO" Limpar

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  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, COMPUTAÇÃO EVOLUTIVA, REOLOGIA, GEOMETRIA E MODELAGEM COMPUTACIONAL

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    • ABNT

      MONACO, Francisco José et al. Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, v. 124, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109040. Acesso em: 19 fev. 2026.
    • APA

      Monaco, F. J., Denysiuk, R., Delbem, A. C. B., & Gaspar-Cunha, A. (2022). Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, 124, 1-18. doi:10.1016/j.asoc.2022.109040
    • NLM

      Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
    • Vancouver

      Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
  • Source: Journal of Heuristics. Unidade: ICMC

    Subjects: HEURÍSTICA, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      RAVELO, Santiago Valdés e MENESES, Cláudio Nogueira de e SANTOS, Maristela Oliveira dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover. Journal of Heuristics, v. 26, p. 585-618, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10732-020-09443-z. Acesso em: 19 fev. 2026.
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      Ravelo, S. V., Meneses, C. N. de, & Santos, M. O. dos. (2020). Meta-heuristics for the one-dimensional cutting stock problem with usable leftover. Journal of Heuristics, 26, 585-618. doi:10.1007/s10732-020-09443-z
    • NLM

      Ravelo SV, Meneses CN de, Santos MO dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover [Internet]. Journal of Heuristics. 2020 ; 26 585-618.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
    • Vancouver

      Ravelo SV, Meneses CN de, Santos MO dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover [Internet]. Journal of Heuristics. 2020 ; 26 585-618.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Variable Neighborhood Search - ICVNS. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, HEURÍSTICA

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      QUEIROZ, Thiago Alves de e MUNDIM, Leandro Resende e CARVALHO, André Carlos Ponce de Leon Ferreira de. Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-44932-2_5. Acesso em: 19 fev. 2026. , 2020
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      Queiroz, T. A. de, Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2020). Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-44932-2_5
    • NLM

      Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
    • Vancouver

      Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
  • Source: Journal of Optimization Theory and Applications. Unidade: IME

    Assunto: PROGRAMAÇÃO MATEMÁTICA

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      HAESER, Gabriel e RAMOS, Alberto. Constraint qualifications for Karush–Kuhn–Tucker conditions in multiobjective optimization. Journal of Optimization Theory and Applications, v. 187, n. 2, p. 469-487, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10957-020-01749-z. Acesso em: 19 fev. 2026.
    • APA

      Haeser, G., & Ramos, A. (2020). Constraint qualifications for Karush–Kuhn–Tucker conditions in multiobjective optimization. Journal of Optimization Theory and Applications, 187( 2), 469-487. doi:10.1007/s10957-020-01749-z
    • NLM

      Haeser G, Ramos A. Constraint qualifications for Karush–Kuhn–Tucker conditions in multiobjective optimization [Internet]. Journal of Optimization Theory and Applications. 2020 ; 187( 2): 469-487.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1007/s10957-020-01749-z
    • Vancouver

      Haeser G, Ramos A. Constraint qualifications for Karush–Kuhn–Tucker conditions in multiobjective optimization [Internet]. Journal of Optimization Theory and Applications. 2020 ; 187( 2): 469-487.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1007/s10957-020-01749-z
  • Source: Proceedings. Conference titles: International Conference on Machine Learning and Data Mining - MLDM. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, FRAUDE BANCÁRIA

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      ANDRADE, Luciano Carli Moreira de e CARVALHO, André Carlos Ponce de Leon Ferreira de. Fraud detection using explainable machine learning algorithms. 2019, Anais.. Leipzig: Ibai Publishing, 2019. Disponível em: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf. Acesso em: 19 fev. 2026.
    • APA

      Andrade, L. C. M. de, & Carvalho, A. C. P. de L. F. de. (2019). Fraud detection using explainable machine learning algorithms. In Proceedings. Leipzig: Ibai Publishing. Recuperado de http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
    • NLM

      Andrade LCM de, Carvalho ACP de LF de. Fraud detection using explainable machine learning algorithms [Internet]. Proceedings. 2019 ;[citado 2026 fev. 19 ] Available from: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
    • Vancouver

      Andrade LCM de, Carvalho ACP de LF de. Fraud detection using explainable machine learning algorithms [Internet]. Proceedings. 2019 ;[citado 2026 fev. 19 ] Available from: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
  • Source: International Journal of Electrical Power and Energy Systems. Unidades: EESC, ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS DISTRIBUÍDOS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA

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      BRANCO, Hermes M. G. C et al. Multiobjective optimization for power quality monitoring allocation considering voltage sags in distribution systems. International Journal of Electrical Power and Energy Systems, v. 97, p. 1-10, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2017.10.011. Acesso em: 19 fev. 2026.
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      Branco, H. M. G. C., Oleskovicz, M., Coury, D. V., & Delbem, A. C. B. (2018). Multiobjective optimization for power quality monitoring allocation considering voltage sags in distribution systems. International Journal of Electrical Power and Energy Systems, 97, 1-10. doi:10.1016/j.ijepes.2017.10.011
    • NLM

      Branco HMGC, Oleskovicz M, Coury DV, Delbem ACB. Multiobjective optimization for power quality monitoring allocation considering voltage sags in distribution systems [Internet]. International Journal of Electrical Power and Energy Systems. 2018 ; 97 1-10.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1016/j.ijepes.2017.10.011
    • Vancouver

      Branco HMGC, Oleskovicz M, Coury DV, Delbem ACB. Multiobjective optimization for power quality monitoring allocation considering voltage sags in distribution systems [Internet]. International Journal of Electrical Power and Energy Systems. 2018 ; 97 1-10.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1016/j.ijepes.2017.10.011

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