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Artigo de periodico
Meta-heuristics for the one-dimensional cutting stock problem with usable leftover (2020)
Ravelo, Santiago Valdés ; Meneses, Cláudio Nogueira de ; Santos, Maristela Oliveira dos
Source: Journal of Heuristics. Unidade: ICMC
Subjects: HEURÍSTICA, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 25 abr. 2026.
APA
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 abr. 25 ] 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 abr. 25 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
Trabalho de evento-anais periodico
Multi-objective basic variable neighborhood search for portfolio selection (2020)
Queiroz, Thiago Alves de ; Mundim, Leandro Resende ; Carvalho, André Carlos Ponce de Leon Ferreira de
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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ABNT
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: 25 abr. 2026. , 2020
APA
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 abr. 25 ] 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 abr. 25 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Artigo de periodico
Constraint qualifications for Karush–Kuhn–Tucker conditions in multiobjective optimization (2020)
Haeser, Gabriel ; Ramos, Alberto
Source: Journal of Optimization Theory and Applications. Unidade: IME
Assunto: PROGRAMAÇÃO MATEMÁTICA
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ABNT
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: 25 abr. 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 abr. 25 ] 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 abr. 25 ] Available from: https://doi.org/10.1007/s10957-020-01749-z
Trabalho de evento
Fraud detection using explainable machine learning algorithms (2019)
Andrade, Luciano Carli Moreira de ; Carvalho, André Carlos Ponce de Leon Ferreira de
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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ABNT
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: 25 abr. 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 abr. 25 ] 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 abr. 25 ] Available from: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
Artigo de periodico
Multiobjective optimization for power quality monitoring allocation considering voltage sags in distribution systems (2018)
Branco, Hermes Manoel Galvão Castelo ; Oleskovicz, Mario ; Coury, Denis Vinicius ; Delbem, Alexandre Cláudio Botazzo
Source: International Journal of Electrical Power and Energy Systems. Unidades: EESC, ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS DISTRIBUÍDOS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRANCO, Hermes Manoel Galvão Castelo 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: 25 abr. 2026.
APA
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 abr. 25 ] 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 abr. 25 ] Available from: https://doi.org/10.1016/j.ijepes.2017.10.011
Trabalho de evento-anais periodico
Feature learning in feature–sample networks using multi-objective optimization (2018)
Verri, Filipe Alves Neto ; Tinós, Renato ; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidades: FFCLRP, ICMC
Subjects: CIÊNCIA DA COMPUTAÇÃO, REDES DE COMPUTADORES, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VERRI, Filipe Alves Neto e TINÓS, Renato e LIANG, Zhao. Feature learning in feature–sample networks using multi-objective optimization. Proceedings. Piscataway: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1109/CEC.2018.8477891. Acesso em: 25 abr. 2026. , 2018
APA
Verri, F. A. N., Tinós, R., & Liang, Z. (2018). Feature learning in feature–sample networks using multi-objective optimization. Proceedings. Piscataway: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/CEC.2018.8477891
NLM
Verri FAN, Tinós R, Liang Z. Feature learning in feature–sample networks using multi-objective optimization [Internet]. Proceedings. 2018 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1109/CEC.2018.8477891
Vancouver
Verri FAN, Tinós R, Liang Z. Feature learning in feature–sample networks using multi-objective optimization [Internet]. Proceedings. 2018 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1109/CEC.2018.8477891

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