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Trabalho de evento
Optimal allocation and sizing of distributed generation for loss minimization using a multi-population genetic algorithm (2020)
Almeida, Alessandro Wilk Silva; Toledo, Claudio Fabiano Motta ; Arantes, Márcio da Silva
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FONTES RENOVÁVEIS DE ENERGIA
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ABNT
ALMEIDA, Alessandro Wilk Silva e TOLEDO, Claudio Fabiano Motta e ARANTES, Márcio da Silva. Optimal allocation and sizing of distributed generation for loss minimization using a multi-population genetic algorithm. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/CEC48606.2020.9185820. Acesso em: 03 jun. 2024.
APA
Almeida, A. W. S., Toledo, C. F. M., & Arantes, M. da S. (2020). Optimal allocation and sizing of distributed generation for loss minimization using a multi-population genetic algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC48606.2020.9185820
NLM
Almeida AWS, Toledo CFM, Arantes M da S. Optimal allocation and sizing of distributed generation for loss minimization using a multi-population genetic algorithm [Internet]. Proceedings. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC48606.2020.9185820
Vancouver
Almeida AWS, Toledo CFM, Arantes M da S. Optimal allocation and sizing of distributed generation for loss minimization using a multi-population genetic algorithm [Internet]. Proceedings. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC48606.2020.9185820
Trabalho de evento
Genetic algorithm applied in UAV’s path planning (2020)
Souza, Gustavo de Moura ; Toledo, Claudio Fabiano Motta
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, AERONAVES NÃO TRIPULADAS, ANÁLISE DE TRAJETÓRIAS
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ABNT
SOUZA, Gustavo de Moura e TOLEDO, Claudio Fabiano Motta. Genetic algorithm applied in UAV’s path planning. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/CEC48606.2020.9185909. Acesso em: 03 jun. 2024.
APA
Souza, G. de M., & Toledo, C. F. M. (2020). Genetic algorithm applied in UAV’s path planning. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC48606.2020.9185909
NLM
Souza G de M, Toledo CFM. Genetic algorithm applied in UAV’s path planning [Internet]. Proceedings. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC48606.2020.9185909
Vancouver
Souza G de M, Toledo CFM. Genetic algorithm applied in UAV’s path planning [Internet]. Proceedings. 2020 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC48606.2020.9185909
Trabalho de evento
Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows (2018)
Coral, Daniel Bustos; Santos, Maristela Oliveira dos; Toledo, Claudio Fabiano Motta; Niño, Luis Fernando
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, SISTEMAS HÍBRIDOS, VIAGENS, BENCHMARKS
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ABNT
CORAL, Daniel Bustos et al. Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CEC.2018.8477710. Acesso em: 03 jun. 2024.
APA
Coral, D. B., Santos, M. O. dos, Toledo, C. F. M., & Niño, L. F. (2018). Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2018.8477710
NLM
Coral DB, Santos MO dos, Toledo CFM, Niño LF. Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows [Internet]. Proceedings. 2018 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2018.8477710
Vancouver
Coral DB, Santos MO dos, Toledo CFM, Niño LF. Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows [Internet]. Proceedings. 2018 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2018.8477710
Trabalho de evento
Hybrid genetic algorithms applied to the glass container industry problem (2018)
Amorim, Flaviana Moreira de Souza; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta; Frisch, Pierre Eric; Almada-Lobo, Bernardo
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, INDÚSTRIAS, VIDRO, EMBALAGENS, TOMADA DE DECISÃO, DEMANDA, PRODUÇÃO E AMBIENTE DA EMPRESA, FORNOS METALÚRGICOS, PROGRAMAÇÃO MATEMÁTICA
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ABNT
AMORIM, Flaviana Moreira de Souza et al. Hybrid genetic algorithms applied to the glass container industry problem. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CEC.2018.8477762. Acesso em: 03 jun. 2024.
APA
Amorim, F. M. de S., Arantes, M. da S., Toledo, C. F. M., Frisch, P. E., & Almada-Lobo, B. (2018). Hybrid genetic algorithms applied to the glass container industry problem. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2018.8477762
NLM
Amorim FM de S, Arantes M da S, Toledo CFM, Frisch PE, Almada-Lobo B. Hybrid genetic algorithms applied to the glass container industry problem [Internet]. Proceedings. 2018 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2018.8477762
Vancouver
Amorim FM de S, Arantes M da S, Toledo CFM, Frisch PE, Almada-Lobo B. Hybrid genetic algorithms applied to the glass container industry problem [Internet]. Proceedings. 2018 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2018.8477762
Trabalho de evento
Exploratory path planning using the Max-Min Ant system algorithm (2016)
Santos, Valeria de C.; Osório, Fernando Santos ; Toledo, Claudio Fabiano Motta; Otero, Fernando E. B.; Johnson, Colin G.
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
SANTOS, Valeria de C. et al. Exploratory path planning using the Max-Min Ant system algorithm. 2016, Anais.. Piscataway, NJ: IEEE, 2016. Disponível em: https://doi.org/10.1109/CEC.2016.7744327. Acesso em: 03 jun. 2024.
APA
Santos, V. de C., Osório, F. S., Toledo, C. F. M., Otero, F. E. B., & Johnson, C. G. (2016). Exploratory path planning using the Max-Min Ant system algorithm. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/CEC.2016.7744327
NLM
Santos V de C, Osório FS, Toledo CFM, Otero FEB, Johnson CG. Exploratory path planning using the Max-Min Ant system algorithm [Internet]. Proceedings. 2016 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2016.7744327
Vancouver
Santos V de C, Osório FS, Toledo CFM, Otero FEB, Johnson CG. Exploratory path planning using the Max-Min Ant system algorithm [Internet]. Proceedings. 2016 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2016.7744327
Trabalho de evento
Multi-objective evolutionary algorithm for variable selection in calibration problems: a case study for protein concentration prediction (2013)
Lucena, Daniel Vitor de; Lima, Telma Woerle de ; Soares, Anderson da Silva ; Delbem, Alexandre Cláudio Botazzo ; Galvão Filho, Arlindo Rodrigues; Coelho, Clarimar José ; Laureano, Gustavo Teodoro
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ESPECTROMETRIA, PROTEÍNAS, TRIGO
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ABNT
LUCENA, Daniel Vitor de et al. Multi-objective evolutionary algorithm for variable selection in calibration problems: a case study for protein concentration prediction. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557683. Acesso em: 03 jun. 2024.
APA
Lucena, D. V. de, Lima, T. W. de, Soares, A. da S., Delbem, A. C. B., Galvão Filho, A. R., Coelho, C. J., & Laureano, G. T. (2013). Multi-objective evolutionary algorithm for variable selection in calibration problems: a case study for protein concentration prediction. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557683
NLM
Lucena DV de, Lima TW de, Soares A da S, Delbem ACB, Galvão Filho AR, Coelho CJ, Laureano GT. Multi-objective evolutionary algorithm for variable selection in calibration problems: a case study for protein concentration prediction [Internet]. Proceedings. 2013 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2013.6557683
Vancouver
Lucena DV de, Lima TW de, Soares A da S, Delbem ACB, Galvão Filho AR, Coelho CJ, Laureano GT. Multi-objective evolutionary algorithm for variable selection in calibration problems: a case study for protein concentration prediction [Internet]. Proceedings. 2013 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2013.6557683
Trabalho de evento
A hybrid heuristic approach to solve the multi level capacitated lot sizing problem (2011)
Toledo, Claudio Fabiano Motta; Oliveira, Renato Resende Ribeiro de; França, Paulo Morelato
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
TOLEDO, Claudio Fabiano Motta e OLIVEIRA, Renato Resende Ribeiro de e FRANÇA, Paulo Morelato. A hybrid heuristic approach to solve the multi level capacitated lot sizing problem. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/CEC.2011.5949752. Acesso em: 03 jun. 2024.
APA
Toledo, C. F. M., Oliveira, R. R. R. de, & França, P. M. (2011). A hybrid heuristic approach to solve the multi level capacitated lot sizing problem. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2011.5949752
NLM
Toledo CFM, Oliveira RRR de, França PM. A hybrid heuristic approach to solve the multi level capacitated lot sizing problem [Internet]. Proceedings. 2011 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2011.5949752
Vancouver
Toledo CFM, Oliveira RRR de, França PM. A hybrid heuristic approach to solve the multi level capacitated lot sizing problem [Internet]. Proceedings. 2011 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2011.5949752
Trabalho de evento
On promising regions and optimization effectiveness of continuous and deceptive functions (2008)
Melo, Vinícius Veloso de; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELO, Vinícius Veloso de e DELBEM, Alexandre Cláudio Botazzo. On promising regions and optimization effectiveness of continuous and deceptive functions. 2008, Anais.. Piscataway: IEEE, 2008. Disponível em: http://www.ieeexplore.ieee.org/xpls/abs_all.do?arnumber=4631369. Acesso em: 03 jun. 2024.
APA
Melo, V. V. de, & Delbem, A. C. B. (2008). On promising regions and optimization effectiveness of continuous and deceptive functions. In Proceedings. Piscataway: IEEE. Recuperado de http://www.ieeexplore.ieee.org/xpls/abs_all.do?arnumber=4631369
NLM
Melo VV de, Delbem ACB. On promising regions and optimization effectiveness of continuous and deceptive functions [Internet]. Proceedings. 2008 ;[citado 2024 jun. 03 ] Available from: http://www.ieeexplore.ieee.org/xpls/abs_all.do?arnumber=4631369
Vancouver
Melo VV de, Delbem ACB. On promising regions and optimization effectiveness of continuous and deceptive functions [Internet]. Proceedings. 2008 ;[citado 2024 jun. 03 ] Available from: http://www.ieeexplore.ieee.org/xpls/abs_all.do?arnumber=4631369
Trabalho de evento
Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions (2007)
Lima, Telma Woerle de; Gabriel, Paulo Henrique Ribeiro; Delbem, Alexandre Cláudio Botazzo ; Faccioli, Rodrigo Antonio; Silva, Ivan Nunes da
Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidades: ICMC, EESC
Subjects: ALGORITMOS, PROTEÍNAS (ESTRUTURA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Telma Woerle de et al. Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions. 2007, Anais.. Piscataway, NJ: IEEE, 2007. Disponível em: https://doi.org/10.1109/CEC.2007.4424527. Acesso em: 03 jun. 2024.
APA
Lima, T. W. de, Gabriel, P. H. R., Delbem, A. C. B., Faccioli, R. A., & Silva, I. N. da. (2007). Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions. In . Piscataway, NJ: IEEE. doi:10.1109/CEC.2007.4424527
NLM
Lima TW de, Gabriel PHR, Delbem ACB, Faccioli RA, Silva IN da. Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions [Internet]. 2007 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2007.4424527
Vancouver
Lima TW de, Gabriel PHR, Delbem ACB, Faccioli RA, Silva IN da. Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions [Internet]. 2007 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1109/CEC.2007.4424527

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