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Trabalho de evento-anais periodico
Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems (2013)
Gois, Marcilene Moreira; Sanches, Danilo Sipoli; Martins, Jean Paulo; London Junior, João Bosco Augusto ; Delbem, Alexandre Cláudio Botazzo
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Evolutionary Multi-Criterion Optimization. Unidades: EESC, ICMC
Subjects: ALGORITMOS, SISTEMAS DISTRIBUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOIS, Marcilene Moreira et al. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-37140-0_57. Acesso em: 08 jul. 2025. , 2013
APA
Gois, M. M., Sanches, D. S., Martins, J. P., London Junior, J. B. A., & Delbem, A. C. B. (2013). Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-37140-0_57
NLM
Gois MM, Sanches DS, Martins JP, London Junior JBA, Delbem ACB. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science. 2013 ; 7811 771-786.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-642-37140-0_57
Vancouver
Gois MM, Sanches DS, Martins JP, London Junior JBA, Delbem ACB. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science. 2013 ; 7811 771-786.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-642-37140-0_57
Trabalho de evento-anais periodico
Efficient parametric adjustment of fuzzy inference system using error backpropagation method (2009)
Silva, Ivan Nunes da ; Flauzino, Rogério Andrade
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: EESC
Subjects: LÓGICA FUZZY, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. Disponível em: https://doi.org/10.1007/978-3-642-04274-4_83. Acesso em: 08 jul. 2025. , 2009
APA
Silva, I. N. da, & Flauzino, R. A. (2009). Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. doi:10.1007/978-3-642-04274-4_83
NLM
Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
Vancouver
Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
Trabalho de evento-anais periodico
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization (2007)
Silva, Ivan Nunes da ; Flauzino, Rogério Andrade
Source: Lecture Notes in Computer Science. Conference titles: International Work-Conference on Artificial Neural Networks. Unidade: EESC
Subjects: ALGORITMOS, LÓGICA FUZZY
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-540-73007-1_49. Acesso em: 08 jul. 2025. , 2007
APA
Silva, I. N. da, & Flauzino, R. A. (2007). Efficient parametric adjustment of fuzzy inference system using unconstrained optimization. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-540-73007-1_49
NLM
Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization [Internet]. Lecture Notes in Computer Science. 2007 ; 4507 399-406.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49
Vancouver
Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization [Internet]. Lecture Notes in Computer Science. 2007 ; 4507 399-406.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49

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