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  • Source: IEEE Latin America Transactions. Unidade: ICMC

    Subjects: ELETRICIDADE, ABASTECIMENTO DE ÁGUA, BOMBAS HIDRÁULICAS, OTIMIZAÇÃO COMBINATÓRIA

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      MIQUELIN, Leticia Maria et al. Mathematical model with pressure constraints to minimize electric energy costs in the operation of hydraulic pumps. IEEE Latin America Transactions, v. 21, n. 3, p. 483-489, 2023Tradução . . Disponível em: https://doi.org/10.1109/TLA.2023.10068836. Acesso em: 10 out. 2024.
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      Miquelin, L. M., Santos, M. O. dos, Furlan, M. M., & Soler, E. M. (2023). Mathematical model with pressure constraints to minimize electric energy costs in the operation of hydraulic pumps. IEEE Latin America Transactions, 21( 3), 483-489. doi:10.1109/TLA.2023.10068836
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      Miquelin LM, Santos MO dos, Furlan MM, Soler EM. Mathematical model with pressure constraints to minimize electric energy costs in the operation of hydraulic pumps [Internet]. IEEE Latin America Transactions. 2023 ; 21( 3): 483-489.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/TLA.2023.10068836
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      Miquelin LM, Santos MO dos, Furlan MM, Soler EM. Mathematical model with pressure constraints to minimize electric energy costs in the operation of hydraulic pumps [Internet]. IEEE Latin America Transactions. 2023 ; 21( 3): 483-489.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/TLA.2023.10068836
  • Source: Pesquisa Operacional. Unidade: ICMC

    Subjects: PROGRAMAÇÃO INTEIRA E FLUXOS EM REDE, OTIMIZAÇÃO COMBINATÓRIA, TRÁFEGO AÉREO

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      SILVA, Lorrany Cristina da et al. A new modelling for the aircraft landing problem and matheuristic approach to solve the problem with a large number of aircraft. Pesquisa Operacional, v. 43, p. 1-30, 2023Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2023.043.00266290. Acesso em: 10 out. 2024.
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      Silva, L. C. da, Ueno, F. Y., Santos, M. O. dos, & Carvalho, A. C. P. de L. F. de. (2023). A new modelling for the aircraft landing problem and matheuristic approach to solve the problem with a large number of aircraft. Pesquisa Operacional, 43, 1-30. doi:10.1590/0101-7438.2023.043.00266290
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      Silva LC da, Ueno FY, Santos MO dos, Carvalho ACP de LF de. A new modelling for the aircraft landing problem and matheuristic approach to solve the problem with a large number of aircraft [Internet]. Pesquisa Operacional. 2023 ; 43 1-30.[citado 2024 out. 10 ] Available from: https://doi.org/10.1590/0101-7438.2023.043.00266290
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      Silva LC da, Ueno FY, Santos MO dos, Carvalho ACP de LF de. A new modelling for the aircraft landing problem and matheuristic approach to solve the problem with a large number of aircraft [Internet]. Pesquisa Operacional. 2023 ; 43 1-30.[citado 2024 out. 10 ] Available from: https://doi.org/10.1590/0101-7438.2023.043.00266290
  • Source: Sensors. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA

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      VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, v. 22, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22124561. Acesso em: 10 out. 2024.
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      Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2022). A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, 22, 1-26. doi:10.3390/s22124561
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      Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/s22124561
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      Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/s22124561
  • Source: European Journal of Operational Research. Unidade: ICMC

    Subjects: OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS, ELIPSE

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      TEDESCHI, Danilo Françoso e ANDRETTA, Marina. New exact algorithms for planar maximum covering location by ellipses problems. European Journal of Operational Research, v. 291, n. 1, p. 114-127, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2020.09.029. Acesso em: 10 out. 2024.
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      Tedeschi, D. F., & Andretta, M. (2021). New exact algorithms for planar maximum covering location by ellipses problems. European Journal of Operational Research, 291( 1), 114-127. doi:10.1016/j.ejor.2020.09.029
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      Tedeschi DF, Andretta M. New exact algorithms for planar maximum covering location by ellipses problems [Internet]. European Journal of Operational Research. 2021 ; 291( 1): 114-127.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.ejor.2020.09.029
    • Vancouver

      Tedeschi DF, Andretta M. New exact algorithms for planar maximum covering location by ellipses problems [Internet]. European Journal of Operational Research. 2021 ; 291( 1): 114-127.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.ejor.2020.09.029
  • Source: Journal of Heuristics. Unidade: ICMC

    Subjects: HEURÍSTICA, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      RAVELO, Santiago Valdés e MENESES, Cláudio Nogueira de e SANTOS, Maristela Oliveira dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover. Journal of Heuristics, v. 26, p. 585-618, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10732-020-09443-z. Acesso em: 10 out. 2024.
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      Ravelo, S. V., Meneses, C. N. de, & Santos, M. O. dos. (2020). Meta-heuristics for the one-dimensional cutting stock problem with usable leftover. Journal of Heuristics, 26, 585-618. doi:10.1007/s10732-020-09443-z
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      Ravelo SV, Meneses CN de, Santos MO dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover [Internet]. Journal of Heuristics. 2020 ; 26 585-618.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
    • Vancouver

      Ravelo SV, Meneses CN de, Santos MO dos. Meta-heuristics for the one-dimensional cutting stock problem with usable leftover [Internet]. Journal of Heuristics. 2020 ; 26 585-618.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10732-020-09443-z
  • Source: Sensors. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, SCHEDULING

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      VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem. Sensors, v. 20, n. 18, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20185440. Acesso em: 10 out. 2024.
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      Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem. Sensors, 20( 18), Se 2020. doi:10.3390/s20185440
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      Viana MS, Morandin Junior O, Contreras RC. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem [Internet]. Sensors. 2020 ; 20( 18): Se 2020.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/s20185440
    • Vancouver

      Viana MS, Morandin Junior O, Contreras RC. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem [Internet]. Sensors. 2020 ; 20( 18): Se 2020.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/s20185440
  • Source: IEEE Access. Unidade: ICMC

    Subjects: OTIMIZAÇÃO COMBINATÓRIA, COMPUTAÇÃO EM NUVEM, HEURÍSTICA

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      AZEVEDO, Leonildo José de Melo de et al. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem. IEEE Access, v. 8, p. 122469-122479, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3006171. Acesso em: 10 out. 2024.
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      Azevedo, L. J. de M. de, Estrella, J. C., Toledo, C. F. M., & Reiff-Marganiec, S. (2020). A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem. IEEE Access, 8, 122469-122479. doi:10.1109/ACCESS.2020.3006171
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      Azevedo LJ de M de, Estrella JC, Toledo CFM, Reiff-Marganiec S. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem [Internet]. IEEE Access. 2020 ; 8 122469-122479.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/ACCESS.2020.3006171
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      Azevedo LJ de M de, Estrella JC, Toledo CFM, Reiff-Marganiec S. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem [Internet]. IEEE Access. 2020 ; 8 122469-122479.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/ACCESS.2020.3006171
  • Source: International Journal of Electrical Power & Energy Systems. Unidades: ICMC, EESC

    Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS, OTIMIZAÇÃO COMBINATÓRIA, OBSERVABILIDADE, ALGORITMOS GENÉTICOS

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      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: 10 out. 2024.
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      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.2018.10.026
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      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. 10 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026
    • Vancouver

      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. 10 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026
  • Source: Journal of Synchrotron Radiation. Unidade: ICMC

    Subjects: OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA, MÉTODOS ITERATIVOS

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      LIMA, Camila de e HELOU, Elias Salomão. Fast projection/backprojection and incremental methods applied to synchrotron light tomographic reconstruction. Journal of Synchrotron Radiation, v. 25, p. 248-256, 2018Tradução . . Disponível em: https://doi.org/10.1107/S1600577517015715. Acesso em: 10 out. 2024.
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      Lima, C. de, & Helou, E. S. (2018). Fast projection/backprojection and incremental methods applied to synchrotron light tomographic reconstruction. Journal of Synchrotron Radiation, 25, 248-256. doi:10.1107/S1600577517015715
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      Lima C de, Helou ES. Fast projection/backprojection and incremental methods applied to synchrotron light tomographic reconstruction [Internet]. Journal of Synchrotron Radiation. 2018 ; 25 248-256.[citado 2024 out. 10 ] Available from: https://doi.org/10.1107/S1600577517015715
    • Vancouver

      Lima C de, Helou ES. Fast projection/backprojection and incremental methods applied to synchrotron light tomographic reconstruction [Internet]. Journal of Synchrotron Radiation. 2018 ; 25 248-256.[citado 2024 out. 10 ] Available from: https://doi.org/10.1107/S1600577517015715
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA, OTIMIZAÇÃO COMBINATÓRIA

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      SOARES, Antônio e RABÊLO, Ricardo de Andrade Lira e DELBEM, Alexandre Cláudio Botazzo. Optimization based on phylogram analysis. Expert Systems with Applications, v. 78, p. 32-50, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.02.012. Acesso em: 10 out. 2024.
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      Soares, A., Rabêlo, R. de A. L., & Delbem, A. C. B. (2017). Optimization based on phylogram analysis. Expert Systems with Applications, 78, 32-50. doi:10.1016/j.eswa.2017.02.012
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      Soares A, Rabêlo R de AL, Delbem ACB. Optimization based on phylogram analysis [Internet]. Expert Systems with Applications. 2017 ; 78 32-50.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.012
    • Vancouver

      Soares A, Rabêlo R de AL, Delbem ACB. Optimization based on phylogram analysis [Internet]. Expert Systems with Applications. 2017 ; 78 32-50.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.012
  • Source: Optimization Methods and Software. Unidade: ICMC

    Subjects: OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA

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      HELOU, Elias Salomão e SANTOS, Sandra A e SIMÕES, Lucas E. A. On the differentiability check in gradient sampling methods. Optimization Methods and Software, v. 31, n. 5, p. 983-1007, 2016Tradução . . Disponível em: https://doi.org/10.1080/10556788.2016.1178262. Acesso em: 10 out. 2024.
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      Helou, E. S., Santos, S. A., & Simões, L. E. A. (2016). On the differentiability check in gradient sampling methods. Optimization Methods and Software, 31( 5), 983-1007. doi:10.1080/10556788.2016.1178262
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      Helou ES, Santos SA, Simões LEA. On the differentiability check in gradient sampling methods [Internet]. Optimization Methods and Software. 2016 ; 31( 5): 983-1007.[citado 2024 out. 10 ] Available from: https://doi.org/10.1080/10556788.2016.1178262
    • Vancouver

      Helou ES, Santos SA, Simões LEA. On the differentiability check in gradient sampling methods [Internet]. Optimization Methods and Software. 2016 ; 31( 5): 983-1007.[citado 2024 out. 10 ] Available from: https://doi.org/10.1080/10556788.2016.1178262
  • Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      LIANG, Xiaoming e LIANG, Zhao. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.06.041. Acesso em: 10 out. 2024. , 2014
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      Liang, X., & Liang, Z. (2014). Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.06.041
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      Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
    • Vancouver

      Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
  • Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      CUPERTINO, Thiago H e GUELERI, Roberto e LIANG, Zhao. A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.05.050. Acesso em: 10 out. 2024. , 2014
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      Cupertino, T. H., Gueleri, R., & Liang, Z. (2014). A semi-supervised classification technique based on interacting forces. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.05.050
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      Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050
    • Vancouver

      Cupertino TH, Gueleri R, Liang Z. A semi-supervised classification technique based on interacting forces [Internet]. Neurocomputing. 2014 ; 127 43-51.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.05.050
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      CUPERTINO, Thiago H e HUERTAS, Jean e LIANG, Zhao. Data clustering using controlled consensus in complex networks. Neurocomputing, v. 118, p. 132-140, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2013.02.026. Acesso em: 10 out. 2024.
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      Cupertino, T. H., Huertas, J., & Liang, Z. (2013). Data clustering using controlled consensus in complex networks. Neurocomputing, 118, 132-140. doi:10.1016/j.neucom.2013.02.026
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      Cupertino TH, Huertas J, Liang Z. Data clustering using controlled consensus in complex networks [Internet]. Neurocomputing. 2013 ; 118 132-140.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.02.026
    • Vancouver

      Cupertino TH, Huertas J, Liang Z. Data clustering using controlled consensus in complex networks [Internet]. Neurocomputing. 2013 ; 118 132-140.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2013.02.026
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      SILVA, Thiago Christiano e LIANG, Zhao. Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.11.001. Acesso em: 10 out. 2024.
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      Silva, T. C., & Liang, Z. (2013). Detecting and preventing error propagation via competitive learning. Neural Networks, 41, 70-84. doi:10.1016/j.neunet.2012.11.001
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      Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
    • Vancouver

      Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      ROMERO, Roseli Aparecida Francelin et al. Locally oriented potential field for controlling multi-robots. Communications in Nonlinear Science and Numerical Simulation, v. 17, n. 12, p. 4664-4671, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2011.10.027. Acesso em: 10 out. 2024.
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      Romero, R. A. F., Prestes, E., Idiart, M. A. P., & Faria, G. (2012). Locally oriented potential field for controlling multi-robots. Communications in Nonlinear Science and Numerical Simulation, 17( 12), 4664-4671. doi:10.1016/j.cnsns.2011.10.027
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      Romero RAF, Prestes E, Idiart MAP, Faria G. Locally oriented potential field for controlling multi-robots [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ; 17( 12): 4664-4671.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.cnsns.2011.10.027
    • Vancouver

      Romero RAF, Prestes E, Idiart MAP, Faria G. Locally oriented potential field for controlling multi-robots [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ; 17( 12): 4664-4671.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.cnsns.2011.10.027
  • Source: Neural Networks. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      XIAOMING, Liang e LIANG, Zhao. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, v. no 2012, p. 40-45, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.08.002. Acesso em: 10 out. 2024.
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      Xiaoming, L., & Liang, Z. (2012). Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, no 2012, 40-45. doi:10.1016/j.neunet.2012.08.002
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      Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
    • Vancouver

      Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      SILVA, Thiago C e LIANG, Zhao. Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, v. fe 2012, n. 1, p. 30-37, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2011.04.042. Acesso em: 10 out. 2024.
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      Silva, T. C., & Liang, Z. (2012). Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, fe 2012( 1), 30-37. doi:10.1016/j.neucom.2011.04.042
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      Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042
    • Vancouver

      Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042
  • Source: Journal of the Franklin Institute. Unidade: ICMC

    Subjects: OTIMIZAÇÃO COMBINATÓRIA, PESQUISA OPERACIONAL

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      GRAMANI, Maria Cristina Nogueira e FRANÇA, Paulo Morelato e ARENALES, Marcos Nereu. A linear optimization approach to the combined production planning model. Journal of the Franklin Institute, v. 348, n. 7, p. 1523\20131536, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.jfranklin.2010.05.010. Acesso em: 10 out. 2024.
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      Gramani, M. C. N., França, P. M., & Arenales, M. N. (2011). A linear optimization approach to the combined production planning model. Journal of the Franklin Institute, 348( 7), 1523\20131536. doi:10.1016/j.jfranklin.2010.05.010
    • NLM

      Gramani MCN, França PM, Arenales MN. A linear optimization approach to the combined production planning model [Internet]. Journal of the Franklin Institute. 2011 ; 348( 7): 1523\20131536.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.jfranklin.2010.05.010
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      Gramani MCN, França PM, Arenales MN. A linear optimization approach to the combined production planning model [Internet]. Journal of the Franklin Institute. 2011 ; 348( 7): 1523\20131536.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.jfranklin.2010.05.010
  • Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      QUILES, Marcos Gonçalves et al. A network of integrate and fire neurons for visual selection. Neurocomputing, v. 72, n. 10-12, p. 2198-2208, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2008.10.024. Acesso em: 10 out. 2024.
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      Quiles, M. G., Liang Zhao,, Breve, F. A., & Romero, R. A. F. (2009). A network of integrate and fire neurons for visual selection. Neurocomputing, 72( 10-12), 2198-2208. doi:10.1016/j.neucom.2008.10.024
    • NLM

      Quiles MG, Liang Zhao, Breve FA, Romero RAF. A network of integrate and fire neurons for visual selection [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2198-2208.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2008.10.024
    • Vancouver

      Quiles MG, Liang Zhao, Breve FA, Romero RAF. A network of integrate and fire neurons for visual selection [Internet]. Neurocomputing. 2009 ; 72( 10-12): 2198-2208.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.neucom.2008.10.024

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