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Trabalho de evento
AGAVaPS: adaptive genetic algorithm with varying population size (2022)
Ribeiro, Rafael Rodrigues Mendes; Maciel, Carlos Dias
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, HEURÍSTICA, ENGENHARIA ELÉTRICA
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ABNT
RIBEIRO, Rafael Rodrigues Mendes e MACIEL, Carlos Dias. AGAVaPS: adaptive genetic algorithm with varying population size. 2022, Anais.. Picataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/CEC55065.2022.9870394. Acesso em: 01 nov. 2024.
APA
Ribeiro, R. R. M., & Maciel, C. D. (2022). AGAVaPS: adaptive genetic algorithm with varying population size. In Proceedings. Picataway, NJ, USA: IEEE. doi:10.1109/CEC55065.2022.9870394
NLM
Ribeiro RRM, Maciel CD. AGAVaPS: adaptive genetic algorithm with varying population size [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC55065.2022.9870394
Vancouver
Ribeiro RRM, Maciel CD. AGAVaPS: adaptive genetic algorithm with varying population size [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC55065.2022.9870394
Trabalho de evento
A genetic algorithm for the nesting problem with continuous rotations (2021)
Nunes, Wesley H. B; Moreira, Mayron César Oliveira ; Andretta, Marina
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: HEURÍSTICA, ALGORITMOS GENÉTICOS, EMBALAGENS
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ABNT
NUNES, Wesley H. B e MOREIRA, Mayron César Oliveira e ANDRETTA, Marina. A genetic algorithm for the nesting problem with continuous rotations. 2021, Anais.. Picataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CEC45853.2021.9504813. Acesso em: 01 nov. 2024.
APA
Nunes, W. H. B., Moreira, M. C. O., & Andretta, M. (2021). A genetic algorithm for the nesting problem with continuous rotations. In Proceedings. Picataway: IEEE. doi:10.1109/CEC45853.2021.9504813
NLM
Nunes WHB, Moreira MCO, Andretta M. A genetic algorithm for the nesting problem with continuous rotations [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC45853.2021.9504813
Vancouver
Nunes WHB, Moreira MCO, Andretta M. A genetic algorithm for the nesting problem with continuous rotations [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC45853.2021.9504813
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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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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1109/CEC48606.2020.9185909
Trabalho de evento
Classification with multi-modal classes using evolutionary algorithms and constrained clustering (2018)
Covões, Thiago Ferreira; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, COMPUTAÇÃO EVOLUTIVA
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ABNT
COVÕES, Thiago Ferreira e HRUSCHKA, Eduardo Raul. Classification with multi-modal classes using evolutionary algorithms and constrained clustering. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CEC.2018.8477858. Acesso em: 01 nov. 2024.
APA
Covões, T. F., & Hruschka, E. R. (2018). Classification with multi-modal classes using evolutionary algorithms and constrained clustering. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2018.8477858
NLM
Covões TF, Hruschka ER. Classification with multi-modal classes using evolutionary algorithms and constrained clustering [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
Vancouver
Covões TF, Hruschka ER. Classification with multi-modal classes using evolutionary algorithms and constrained clustering [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2016.7744327
Trabalho de evento
Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm (2013)
Covões, Thiago F; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
COVÕES, Thiago F e HRUSCHKA, Eduardo Raul. Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557962. Acesso em: 01 nov. 2024.
APA
Covões, T. F., & Hruschka, E. R. (2013). Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557962
NLM
Covões TF, Hruschka ER. Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557962
Vancouver
Covões TF, Hruschka ER. Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557962
Trabalho de evento
A grammatical evolution algorithm for generation of hierarchical multi-label classification rules (2013)
Cerri, Ricardo; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Freitas, Alex A
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CERRI, Ricardo et al. A grammatical evolution algorithm for generation of hierarchical multi-label classification rules. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557604. Acesso em: 01 nov. 2024.
APA
Cerri, R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2013). A grammatical evolution algorithm for generation of hierarchical multi-label classification rules. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557604
NLM
Cerri R, Barros RC, Carvalho ACP de LF de, Freitas AA. A grammatical evolution algorithm for generation of hierarchical multi-label classification rules [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557604
Vancouver
Cerri R, Barros RC, Carvalho ACP de LF de, Freitas AA. A grammatical evolution algorithm for generation of hierarchical multi-label classification rules [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557604
Trabalho de evento
Ensemble of complete P-partite graph classifiers for non-stationary environments (2013)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
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ABNT
BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Ensemble of complete P-partite graph classifiers for non-stationary environments. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557779. Acesso em: 01 nov. 2024.
APA
Bertini Junior, J. R., Nicoletti, M. do C., & Liang, Z. (2013). Ensemble of complete P-partite graph classifiers for non-stationary environments. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557779
NLM
Bertini Junior JR, Nicoletti M do C, Liang Z. Ensemble of complete P-partite graph classifiers for non-stationary environments [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557779
Vancouver
Bertini Junior JR, Nicoletti M do C, Liang Z. Ensemble of complete P-partite graph classifiers for non-stationary environments [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557779
Trabalho de evento
Attribute-based decision graphs for multiclass data classification (2013)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
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ABNT
BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Attribute-based decision graphs for multiclass data classification. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557776. Acesso em: 01 nov. 2024.
APA
Bertini Junior, J. R., Nicoletti, M. do C., & Liang, Z. (2013). Attribute-based decision graphs for multiclass data classification. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557776
NLM
Bertini Junior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs for multiclass data classification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557776
Vancouver
Bertini Junior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs for multiclass data classification [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557776
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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557683
Trabalho de evento
Malleable resource sharing algorithms for cooperative resolution of problems (2012)
Goldman, Alfredo ; Ngoko, Yanik; Trystram, Denis
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: IME
Subjects: ALGORITMOS, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
GOLDMAN, Alfredo e NGOKO, Yanik e TRYSTRAM, Denis. Malleable resource sharing algorithms for cooperative resolution of problems. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/CEC.2012.6256524. Acesso em: 01 nov. 2024.
APA
Goldman, A., Ngoko, Y., & Trystram, D. (2012). Malleable resource sharing algorithms for cooperative resolution of problems. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2012.6256524
NLM
Goldman A, Ngoko Y, Trystram D. Malleable resource sharing algorithms for cooperative resolution of problems [Internet]. Proceedings. 2012 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2012.6256524
Vancouver
Goldman A, Ngoko Y, Trystram D. Malleable resource sharing algorithms for cooperative resolution of problems [Internet]. Proceedings. 2012 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2012.6256524
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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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
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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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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)
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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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2007.4424527

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