ReP USP - Resultado da busca

Artigo de periodico
Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm (2021)
Shishido, Henrique Yoshikazu ; Estrella, Júlio Cezar ; Toledo, Claudio Fabiano Motta ; Reiff-Marganiec, Stephan
Source: Computing. Unidade: ICMC
Subjects: COMPUTAÇÃO EM NUVEM, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHISHIDO, Henrique Yoshikazu et al. Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm. Computing, v. 103, n. 1281-1303, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00607-021-00943-9. Acesso em: 27 nov. 2025.
APA
Shishido, H. Y., Estrella, J. C., Toledo, C. F. M., & Reiff-Marganiec, S. (2021). Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm. Computing, 103( 1281-1303). doi:10.1007/s00607-021-00943-9
NLM
Shishido HY, Estrella JC, Toledo CFM, Reiff-Marganiec S. Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm [Internet]. Computing. 2021 ; 103( 1281-1303):[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s00607-021-00943-9
Vancouver
Shishido HY, Estrella JC, Toledo CFM, Reiff-Marganiec S. Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm [Internet]. Computing. 2021 ; 103( 1281-1303):[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s00607-021-00943-9
Artigo de periodico
Pruning deep convolutional neural networks architectures with evolution strategy (2021)
Fernandes Junior, Francisco Erivaldo ; Yen, Gary G
Source: Information Sciences. Unidade: ICMC
Subjects: REDES NEURAIS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo e YEN, Gary G. Pruning deep convolutional neural networks architectures with evolution strategy. Information Sciences, v. 552, p. 29-47, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.11.009. Acesso em: 27 nov. 2025.
APA
Fernandes Junior, F. E., & Yen, G. G. (2021). Pruning deep convolutional neural networks architectures with evolution strategy. Information Sciences, 552, 29-47. doi:10.1016/j.ins.2020.11.009
NLM
Fernandes Junior FE, Yen GG. Pruning deep convolutional neural networks architectures with evolution strategy [Internet]. Information Sciences. 2021 ; 552 29-47.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
Vancouver
Fernandes Junior FE, Yen GG. Pruning deep convolutional neural networks architectures with evolution strategy [Internet]. Information Sciences. 2021 ; 552 29-47.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
Artigo de periodico
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning (2019)
Fernandes, Everlandio Rebouças Queiroz; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, v. 494, p. 141-154, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.04.052. Acesso em: 27 nov. 2025.
APA
Fernandes, E. R. Q., & Carvalho, A. C. P. de L. F. de. (2019). Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, 494, 141-154. doi:10.1016/j.ins.2019.04.052
NLM
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Vancouver
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Artigo de periodico
A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem (2014)
Toledo, Claudio Fabiano Motta ; Oliveira, Lucas de; Pereira, Rodrigo de Freitas; França, Paulo Morelato ; Morabito, Reinaldo
Source: Computers and Operations Research. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO LINEAR, COMPUTAÇÃO APLICADA, PLANEJAMENTO DA PRODUÇÃO, INDÚSTRIA DE BEBIDAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOLEDO, Claudio Fabiano Motta et al. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem. Computers and Operations Research, v. 48, p. 40-52, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2014.02.012. Acesso em: 27 nov. 2025.
APA
Toledo, C. F. M., Oliveira, L. de, Pereira, R. de F., França, P. M., & Morabito, R. (2014). A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem. Computers and Operations Research, 48, 40-52. doi:10.1016/j.cor.2014.02.012
NLM
Toledo CFM, Oliveira L de, Pereira R de F, França PM, Morabito R. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem [Internet]. Computers and Operations Research. 2014 ; 48 40-52.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.cor.2014.02.012
Vancouver
Toledo CFM, Oliveira L de, Pereira R de F, França PM, Morabito R. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem [Internet]. Computers and Operations Research. 2014 ; 48 40-52.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.cor.2014.02.012

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