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Artigo de periodico
Power quality monitor allocation based on singular value decomposition and genetic algorithm (2021)
Breda, Jáder Fernando Dias; Vieira Júnior, José Carlos de Melo ; Oleskovicz, Mario
Source: Journal of Control, Automation and Electrical Systems. Unidade: EESC
Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BREDA, Jáder Fernando Dias e VIEIRA JÚNIOR, José Carlos de Melo e OLESKOVICZ, Mario. Power quality monitor allocation based on singular value decomposition and genetic algorithm. Journal of Control, Automation and Electrical Systems, v. 32, p. 175-185, 2021Tradução . . Disponível em: http://dx.doi.org/10.1007/s40313-020-00653-1. Acesso em: 13 nov. 2025.
APA
Breda, J. F. D., Vieira Júnior, J. C. de M., & Oleskovicz, M. (2021). Power quality monitor allocation based on singular value decomposition and genetic algorithm. Journal of Control, Automation and Electrical Systems, 32, 175-185. doi:10.1007/s40313-020-00653-1
NLM
Breda JFD, Vieira Júnior JC de M, Oleskovicz M. Power quality monitor allocation based on singular value decomposition and genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ; 32 175-185.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1007/s40313-020-00653-1
Vancouver
Breda JFD, Vieira Júnior JC de M, Oleskovicz M. Power quality monitor allocation based on singular value decomposition and genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ; 32 175-185.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1007/s40313-020-00653-1
Artigo de periodico
Optimized artificial neural network for biosignals classification using genetic algorithm (2019)
Lima, Aron A. M; Barros, Fábio K. H. de; Yoshizumi, Victor H; Spatti, Danilo Hernane ; Dajer, Maria E
Source: Journal of Control, Automation and Electrical Systems. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, ALGORITMOS GENÉTICOS, TOPOLOGIA EM COMPUTAÇÃO, SINAIS BIOMÉDICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Aron A. M et al. Optimized artificial neural network for biosignals classification using genetic algorithm. Journal of Control, Automation and Electrical Systems, v. 30, n. 3, p. 371-379, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40313-019-00454-1. Acesso em: 13 nov. 2025.
APA
Lima, A. A. M., Barros, F. K. H. de, Yoshizumi, V. H., Spatti, D. H., & Dajer, M. E. (2019). Optimized artificial neural network for biosignals classification using genetic algorithm. Journal of Control, Automation and Electrical Systems, 30( 3), 371-379. doi:10.1007/s40313-019-00454-1
NLM
Lima AAM, Barros FKH de, Yoshizumi VH, Spatti DH, Dajer ME. Optimized artificial neural network for biosignals classification using genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 371-379.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s40313-019-00454-1
Vancouver
Lima AAM, Barros FKH de, Yoshizumi VH, Spatti DH, Dajer ME. Optimized artificial neural network for biosignals classification using genetic algorithm [Internet]. Journal of Control, Automation and Electrical Systems. 2019 ; 30( 3): 371-379.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s40313-019-00454-1
Artigo de periodico
Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems (2017)
Sanches, Danilo Sipoli; Castoldi, Marcelo Favoretto; London Junior, João Bosco Augusto ; Delbem, Alexandre Cláudio Botazzo
Source: Journal of Control, Automation and Electrical Systems. Unidades: EESC, ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, SISTEMAS EMBUTIDOS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANCHES, Danilo Sipoli et al. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems. Journal of Control, Automation and Electrical Systems, v. 28, n. 6, p. 796-805, 2017Tradução . . Disponível em: https://doi.org/10.1007/s40313-017-0344-9. Acesso em: 13 nov. 2025.
APA
Sanches, D. S., Castoldi, M. F., London Junior, J. B. A., & Delbem, A. C. B. (2017). Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems. Journal of Control, Automation and Electrical Systems, 28( 6), 796-805. doi:10.1007/s40313-017-0344-9
NLM
Sanches DS, Castoldi MF, London Junior JBA, Delbem ACB. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems [Internet]. Journal of Control, Automation and Electrical Systems. 2017 ; 28( 6): 796-805.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s40313-017-0344-9
Vancouver
Sanches DS, Castoldi MF, London Junior JBA, Delbem ACB. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems [Internet]. Journal of Control, Automation and Electrical Systems. 2017 ; 28( 6): 796-805.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s40313-017-0344-9
Artigo de periodico
Evolutionary computation techniques applied to phasor measurement unit design (2013)
Silva, Raphael Philipe Mendes da; Delbem, Alexandre Cláudio Botazzo ; Coury, Denis Vinicius
Source: Journal of Control, Automation and Electrical Systems. Unidades: ICMC, EESC
Subjects: ALGORITMOS GENÉTICOS, TRANSFORMADA DE FOURIER
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Raphael Philipe Mendes da e DELBEM, Alexandre Cláudio Botazzo e COURY, Denis Vinicius. Evolutionary computation techniques applied to phasor measurement unit design. Journal of Control, Automation and Electrical Systems, v. 24, n. 4, p. 573-583, 2013Tradução . . Disponível em: https://doi.org/10.1007/s40313-013-0051-0. Acesso em: 13 nov. 2025.
APA
Silva, R. P. M. da, Delbem, A. C. B., & Coury, D. V. (2013). Evolutionary computation techniques applied to phasor measurement unit design. Journal of Control, Automation and Electrical Systems, 24( 4), 573-583. doi:10.1007/s40313-013-0051-0
NLM
Silva RPM da, Delbem ACB, Coury DV. Evolutionary computation techniques applied to phasor measurement unit design [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 4): 573-583.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s40313-013-0051-0
Vancouver
Silva RPM da, Delbem ACB, Coury DV. Evolutionary computation techniques applied to phasor measurement unit design [Internet]. Journal of Control, Automation and Electrical Systems. 2013 ; 24( 4): 573-583.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s40313-013-0051-0

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