Source: International Journal of Electrical Power & Energy Systems. Unidades: ICMC, EESC
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS, OTIMIZAÇÃO COMBINATÓRIA, OBSERVABILIDADE, ALGORITMOS GENÉTICOS
ABNT
VIGLIASSI, Marcos Paulo et al. Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier. International Journal of Electrical Power & Energy Systems, v. 106, p. 373-382, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2018.10.026. Acesso em: 15 out. 2024.APA
Vigliassi, M. P., Massignan, J. A. D., Delbem, A. C. B., & London Junior, J. B. A. (2019). Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier. International Journal of Electrical Power & Energy Systems, 106, 373-382. doi:10.1016/j.ijepes.2018.10.026NLM
Vigliassi MP, Massignan JAD, Delbem ACB, London Junior JBA. Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 106 373-382.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026Vancouver
Vigliassi MP, Massignan JAD, Delbem ACB, London Junior JBA. Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 106 373-382.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026