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AGAVaPS: adaptive genetic algorithm with varying population size (2022)
Ribeiro, Rafael Rodrigues Mendes; Maciel, Carlos Dias
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, HEURÍSTICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Rafael Rodrigues Mendes e MACIEL, Carlos Dias. AGAVaPS: adaptive genetic algorithm with varying population size. 2022, Anais.. Picataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/CEC55065.2022.9870394. Acesso em: 18 nov. 2024.
APA
Ribeiro, R. R. M., & Maciel, C. D. (2022). AGAVaPS: adaptive genetic algorithm with varying population size. In Proceedings. Picataway, NJ, USA: IEEE. doi:10.1109/CEC55065.2022.9870394
NLM
Ribeiro RRM, Maciel CD. AGAVaPS: adaptive genetic algorithm with varying population size [Internet]. Proceedings. 2022 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/CEC55065.2022.9870394
Vancouver
Ribeiro RRM, Maciel CD. AGAVaPS: adaptive genetic algorithm with varying population size [Internet]. Proceedings. 2022 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/CEC55065.2022.9870394
Artigo de periodico
A variable neighborhood descent approach for electrical grids as an overload reduction method (2021)
Caetano, Henrique de Oliveira; Maciel, Carlos Dias ; Bessani, Michel; Desuó Neto, Luiz
Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, HEURÍSTICA, REDES COMPLEXAS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAETANO, Henrique de Oliveira et al. A variable neighborhood descent approach for electrical grids as an overload reduction method. IEEE Latin America Transactions, v. 19, n. 10, p. 1674-1683, 2021Tradução . . Disponível em: https://doi.org/10.1109/TLA.2021.9477270. Acesso em: 18 nov. 2024.
APA
Caetano, H. de O., Maciel, C. D., Bessani, M., & Desuó Neto, L. (2021). A variable neighborhood descent approach for electrical grids as an overload reduction method. IEEE Latin America Transactions, 19( 10), 1674-1683. doi:10.1109/TLA.2021.9477270
NLM
Caetano H de O, Maciel CD, Bessani M, Desuó Neto L. A variable neighborhood descent approach for electrical grids as an overload reduction method [Internet]. IEEE Latin America Transactions. 2021 ; 19( 10): 1674-1683.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/TLA.2021.9477270
Vancouver
Caetano H de O, Maciel CD, Bessani M, Desuó Neto L. A variable neighborhood descent approach for electrical grids as an overload reduction method [Internet]. IEEE Latin America Transactions. 2021 ; 19( 10): 1674-1683.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/TLA.2021.9477270
Artigo de periodico
Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems (2016)
Camillo, Marcos Henrique Marçal; Fanucchi, Rodrigo Zempulski; Romero, Marcel Eduardo Viotto; Lima, Telma Woerle de; Soares, Anderson da Silva; Delbem, Alexandre Cláudio Botazzo ; Marques, Leandro Tolomeu; Maciel, Carlos Dias; London Junior, João Bosco Augusto
Source: Electric Power Systems Research. Unidades: ICMC, EESC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, HEURÍSTICA, ENERGIA ELÉTRICA (RESTAURAÇÃO), DISTRIBUIÇÃO DE ENERGIA ELÉTRICA (SISTEMAS), ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAMILLO, Marcos Henrique Marçal et al. Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems. Electric Power Systems Research, v. 134, p. 1-8, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2015.12.003. Acesso em: 18 nov. 2024.
APA
Camillo, M. H. M., Fanucchi, R. Z., Romero, M. E. V., Lima, T. W. de, Soares, A. da S., Delbem, A. C. B., et al. (2016). Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems. Electric Power Systems Research, 134, 1-8. doi:10.1016/j.epsr.2015.12.003
NLM
Camillo MHM, Fanucchi RZ, Romero MEV, Lima TW de, Soares A da S, Delbem ACB, Marques LT, Maciel CD, London Junior JBA. Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems [Internet]. Electric Power Systems Research. 2016 ; 134 1-8.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.epsr.2015.12.003
Vancouver
Camillo MHM, Fanucchi RZ, Romero MEV, Lima TW de, Soares A da S, Delbem ACB, Marques LT, Maciel CD, London Junior JBA. Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems [Internet]. Electric Power Systems Research. 2016 ; 134 1-8.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.epsr.2015.12.003

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