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Filtros : "Particle swarm optimization" Limpar

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  • Artigo de periodico

    Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization (2023)

    Oliveira, Deborah S.B.L.; Colmati, Flavio; Gonzalez, Ernesto Rafael; Sousa Junior, Ruy de

    Source: International Journal of Hydrogen Energy. Unidade: IQSC

    Subjects: CATALISADORES, ETANOL

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    • ABNT

      OLIVEIRA, Deborah S.B.L. et al. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization. International Journal of Hydrogen Energy, v. 48, n. 63, p. 24481-24491, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijhydene.2023.03.137. Acesso em: 17 abr. 2026.

    • APA

      Oliveira, D. S. B. L., Colmati, F., Gonzalez, E. R., & Sousa Junior, R. de. (2023). Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization. International Journal of Hydrogen Energy, 48( 63), 24481-24491. doi:10.1016/j.ijhydene.2023.03.137

    • NLM

      Oliveira DSBL, Colmati F, Gonzalez ER, Sousa Junior R de. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization [Internet]. International Journal of Hydrogen Energy. 2023 ;48( 63): 24481-24491.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.03.137

    • Vancouver

      Oliveira DSBL, Colmati F, Gonzalez ER, Sousa Junior R de. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization [Internet]. International Journal of Hydrogen Energy. 2023 ;48( 63): 24481-24491.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.03.137

  • Artigo de periodico

    Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds (2018)

    Shishido, Henrique Yoshikazu; Estrella, Júlio Cezar ; Toledo, Claudio Fabiano Motta ; Arantes, Márcio Silva

    Source: Computers and Electrical Engineering. Unidade: ICMC

    Subjects: ENGENHARIA DE SOFTWARE, SISTEMAS DE INFORMAÇÃO, SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, COMPUTAÇÃO EM NUVEM, ALGORITMOS GENÉTICOS

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      SHISHIDO, Henrique Yoshikazu et al. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds. Computers and Electrical Engineering, v. 69, p. 378-394, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compeleceng.2017.12.004. Acesso em: 17 abr. 2026.

    • APA

      Shishido, H. Y., Estrella, J. C., Toledo, C. F. M., & Arantes, M. S. (2018). Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds. Computers and Electrical Engineering, 69, 378-394. doi:10.1016/j.compeleceng.2017.12.004

    • NLM

      Shishido HY, Estrella JC, Toledo CFM, Arantes MS. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds [Internet]. Computers and Electrical Engineering. 2018 ; 69 378-394.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004

    • Vancouver

      Shishido HY, Estrella JC, Toledo CFM, Arantes MS. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds [Internet]. Computers and Electrical Engineering. 2018 ; 69 378-394.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004
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