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Artigo de periodico
A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making (2022)
Calache, Lucas Daniel Del Rosso; Camargo, Victor Claudio Bento de ; Osiro, Lauro; Carpinetti, Luiz Cesar Ribeiro
Source: Applied Soft Computing Journal. Unidade: EESC
Subjects: TOMADA DE DECISÃO, ALGORITMOS GENÉTICOS, ENGENHARIA DE PRODUÇÃO
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ABNT
CALACHE, Lucas Daniel Del Rosso et al. A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making. Applied Soft Computing Journal, v. 121, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108778. Acesso em: 28 nov. 2025.
APA
Calache, L. D. D. R., Camargo, V. C. B. de, Osiro, L., & Carpinetti, L. C. R. (2022). A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making. Applied Soft Computing Journal, 121, 1-18. doi:10.1016/j.asoc.2022.108778
NLM
Calache LDDR, Camargo VCB de, Osiro L, Carpinetti LCR. A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making [Internet]. Applied Soft Computing Journal. 2022 ; 121 1-18.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2022.108778
Vancouver
Calache LDDR, Camargo VCB de, Osiro L, Carpinetti LCR. A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making [Internet]. Applied Soft Computing Journal. 2022 ; 121 1-18.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2022.108778
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
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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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
Artigo de periodico
Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy (2021)
Fernandes Junior, Francisco Erivaldo ; Yen, Gary G
Source: Information Sciences. Unidade: ICMC
Subjects: REDES NEURAIS, ALGORITMOS GENÉTICOS, DIAGNÓSTICO POR IMAGEM
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ABNT
FERNANDES JUNIOR, Francisco Erivaldo e YEN, Gary G. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy. Information Sciences, v. 558, p. 91-102, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.12.086. Acesso em: 28 nov. 2025.
APA
Fernandes Junior, F. E., & Yen, G. G. (2021). Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy. Information Sciences, 558, 91-102. doi:10.1016/j.ins.2020.12.086
NLM
Fernandes Junior FE, Yen GG. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy [Internet]. Information Sciences. 2021 ; 558 91-102.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ins.2020.12.086
Vancouver
Fernandes Junior FE, Yen GG. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy [Internet]. Information Sciences. 2021 ; 558 91-102.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ins.2020.12.086
Artigo de periodico
Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure (2020)
Santos, Dulce P; Pelissari, Pedro Ivo Batistel Galiote Brossi ; Oliveira, B. S. de; Leiva, Daniel Rodrigo ; Mello, Rodrigo Fernandes de ; Pandolfelli, Victor Carlos
Source: Ceramics International. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, MÉTODO DOS ELEMENTOS FINITOS, REFRATÁRIOS, FORNOS METALÚRGICOS
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ABNT
SANTOS, Dulce P et al. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, v. 46, n. 4, p. 4113-4125, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ceramint.2019.10.127. Acesso em: 28 nov. 2025.
APA
Santos, D. P., Pelissari, P. I. B. G. B., Oliveira, B. S. de, Leiva, D. R., Mello, R. F. de, & Pandolfelli, V. C. (2020). Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, 46( 4), 4113-4125. doi:10.1016/j.ceramint.2019.10.127
NLM
Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
Vancouver
Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
Artigo de periodico
A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Sensors. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, SCHEDULING
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ABNT
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: 28 nov. 2025.
APA
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
NLM
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.3390/s20185440
Artigo de periodico
A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs (2020)
Bonidia, Robson Parmezan ; Machida, Jaqueline Sayuri; Negri, Tatianne Costa ; Alves, Wonder Alexandre Luz ; Kashiwabara, André Yoshiaki ; Domingues, Douglas S ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: IEEE Access. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, RNA
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ABNT
BONIDIA, Robson Parmezan et al. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs. IEEE Access, v. 8, p. 181683-181697, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3028039. Acesso em: 28 nov. 2025.
APA
Bonidia, R. P., Machida, J. S., Negri, T. C., Alves, W. A. L., Kashiwabara, A. Y., Domingues, D. S., et al. (2020). A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs. IEEE Access, 8, 181683-181697. doi:10.1109/ACCESS.2020.3028039
NLM
Bonidia RP, Machida JS, Negri TC, Alves WAL, Kashiwabara AY, Domingues DS, Carvalho ACP de LF de, Paschoal AR, Sanches DS. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs [Internet]. IEEE Access. 2020 ; 8 181683-181697.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/ACCESS.2020.3028039
Vancouver
Bonidia RP, Machida JS, Negri TC, Alves WAL, Kashiwabara AY, Domingues DS, Carvalho ACP de LF de, Paschoal AR, Sanches DS. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs [Internet]. IEEE Access. 2020 ; 8 181683-181697.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/ACCESS.2020.3028039
Artigo de periodico
An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Symmetry. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, VISUALIZAÇÃO, HEURÍSTICA
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ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem. Symmetry, v. 12, n. 10, p. 1-36, 2020Tradução . . Disponível em: https://doi.org/10.3390/sym12101684. Acesso em: 28 nov. 2025.
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem. Symmetry, 12( 10), 1-36. doi:10.3390/sym12101684
NLM
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem [Internet]. Symmetry. 2020 ; 12( 10): 1-36.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/sym12101684
Vancouver
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem [Internet]. Symmetry. 2020 ; 12( 10): 1-36.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/sym12101684
Artigo de periodico
Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks (2020)
Han, Dezhi ; Yu, Yunping; Li, Kuan-Ching ; Mello, Rodrigo Fernandes de
Source: Sensors. Unidade: ICMC
Subjects: WIRELESS, ALGORITMOS GENÉTICOS
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ABNT
HAN, Dezhi et al. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, v. 20, p. 1-24, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20020343. Acesso em: 28 nov. 2025.
APA
Han, D., Yu, Y., Li, K. -C., & Mello, R. F. de. (2020). Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, 20, 1-24. doi:10.3390/s20020343
NLM
Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/s20020343
Vancouver
Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/s20020343
Artigo de periodico
Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data (2020)
Fernandes, Everlandio Rebouças Queiroz ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Yao, Xin
Source: IEEE Transactions on Knowledge and Data Engineering. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
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ABNT
FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de e YAO, Xin. Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data. IEEE Transactions on Knowledge and Data Engineering, v. 32, n. 6, p. 1104-1115, 2020Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2019.2898861. Acesso em: 28 nov. 2025.
APA
Fernandes, E. R. Q., Carvalho, A. C. P. de L. F. de, & Yao, X. (2020). Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data. IEEE Transactions on Knowledge and Data Engineering, 32( 6), 1104-1115. doi:10.1109/TKDE.2019.2898861
NLM
Fernandes ERQ, Carvalho ACP de LF de, Yao X. Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2020 ; 32( 6): 1104-1115.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TKDE.2019.2898861
Vancouver
Fernandes ERQ, Carvalho ACP de LF de, Yao X. Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2020 ; 32( 6): 1104-1115.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TKDE.2019.2898861
Artigo de periodico
Inducing hierarchical multi-label classification rules with genetic algorithms (2019)
Cerri, Ricardo; Basgalupp, Márcio P; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
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ABNT
CERRI, Ricardo et al. Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, v. 77, p. 584-604, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.01.017. Acesso em: 28 nov. 2025.
APA
Cerri, R., Basgalupp, M. P., Barros, R. C., & Carvalho, A. C. P. de L. F. de. (2019). Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, 77, 584-604. doi:10.1016/j.asoc.2019.01.017
NLM
Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
Vancouver
Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
Artigo de periodico
Experimental correlation analysis of bicluster coherence measures and gene ontology information (2019)
Padilha, Victor Alexandre ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GENÉTICOS, EXPRESSÃO GÊNICA
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ABNT
PADILHA, Victor Alexandre e CARVALHO, André Carlos Ponce de Leon Ferreira de. Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, v. 85, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105688. Acesso em: 28 nov. 2025.
APA
Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2019). Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, 85, 1-11. doi:10.1016/j.asoc.2019.105688
NLM
Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Vancouver
Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Artigo de periodico
Neuroevolution for solving multiobjective knapsack problems (2019)
Denysiuk, Roman; Gaspar-Cunha, António; Delbem, Alexandre Cláudio Botazzo
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, REDES NEURAIS, ANÁLISE DE DESEMPENHO
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ABNT
DENYSIUK, Roman e GASPAR-CUNHA, António e DELBEM, Alexandre Cláudio Botazzo. Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, v. 116, p. 65-77, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.09.004. Acesso em: 28 nov. 2025.
APA
Denysiuk, R., Gaspar-Cunha, A., & Delbem, A. C. B. (2019). Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, 116, 65-77. doi:10.1016/j.eswa.2018.09.004
NLM
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
Vancouver
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Artigo de periodico
Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier (2019)
Vigliassi, Marcos Paulo; Massignan, Júlio A. D; Delbem, Alexandre Cláudio Botazzo ; London Junior, João Bosco Augusto
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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ABNT
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: 28 nov. 2025.
APA
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
NLM
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026
Artigo de periodico
Using genetic algorithms in test data generation: a critical systematic mapping (2018)
Rodrigues, Davi Silva; Delamaro, Márcio Eduardo ; Corrêa, Cleber Gimenez ; Marques, Fátima de Lourdes dos Santos Nunes
Source: ACM Computing Surveys. Unidades: ICMC, EACH
Subjects: SOFTWARES, ALGORITMOS GENÉTICOS, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Davi Silva et al. Using genetic algorithms in test data generation: a critical systematic mapping. ACM Computing Surveys, v. 51, n. Ju 2018, p. 1-23, 2018Tradução . . Disponível em: https://doi.org/10.1145/3182659. Acesso em: 28 nov. 2025.
APA
Rodrigues, D. S., Delamaro, M. E., Corrêa, C. G., & Marques, F. de L. dos S. N. (2018). Using genetic algorithms in test data generation: a critical systematic mapping. ACM Computing Surveys, 51( Ju 2018), 1-23. doi:10.1145/3182659
NLM
Rodrigues DS, Delamaro ME, Corrêa CG, Marques F de L dos SN. Using genetic algorithms in test data generation: a critical systematic mapping [Internet]. ACM Computing Surveys. 2018 ; 51( Ju 2018): 1-23.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1145/3182659
Vancouver
Rodrigues DS, Delamaro ME, Corrêa CG, Marques F de L dos SN. Using genetic algorithms in test data generation: a critical systematic mapping [Internet]. ACM Computing Surveys. 2018 ; 51( Ju 2018): 1-23.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1145/3182659
Artigo de periodico
An adaptive approach for UAV-based pesticide spraying in dynamic environments (2017)
Faiçal, Bruno S; Freitas, Heitor; Gomes, Pedro H; Mano, Leandro Y; Pessin, Gustavo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Krishnamachari, Bhaskar; Ueyama, Jó
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, AGRICULTURA DE PRECISÃO
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ABNT
FAIÇAL, Bruno S et al. An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, v. 138, p. 210-223, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.04.011. Acesso em: 28 nov. 2025.
APA
Faiçal, B. S., Freitas, H., Gomes, P. H., Mano, L. Y., Pessin, G., Carvalho, A. C. P. de L. F. de, et al. (2017). An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, 138, 210-223. doi:10.1016/j.compag.2017.04.011
NLM
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Vancouver
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Artigo de periodico
Improving k-means through distributed scalable metaheuristics (2017)
Oliveira, G. V; Coutinho, F. P; Campello, Ricardo José Gabrielli Barreto; Naldi, M. C
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, MINERAÇÃO DE DADOS, HEURÍSTICA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, G. V et al. Improving k-means through distributed scalable metaheuristics. Neurocomputing, v. 246, p. 45-57, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.07.074. Acesso em: 28 nov. 2025.
APA
Oliveira, G. V., Coutinho, F. P., Campello, R. J. G. B., & Naldi, M. C. (2017). Improving k-means through distributed scalable metaheuristics. Neurocomputing, 246, 45-57. doi:10.1016/j.neucom.2016.07.074
NLM
Oliveira GV, Coutinho FP, Campello RJGB, Naldi MC. Improving k-means through distributed scalable metaheuristics [Internet]. Neurocomputing. 2017 ; 246 45-57.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
Vancouver
Oliveira GV, Coutinho FP, Campello RJGB, Naldi MC. Improving k-means through distributed scalable metaheuristics [Internet]. Neurocomputing. 2017 ; 246 45-57.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
Artigo de periodico
An evolutionary algorithm for clustering data streams with a variable number of clusters (2017)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul ; Gama, João
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul e GAMA, João. An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, v. 67, n. Ja 2017, p. 228-238, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.09.020. Acesso em: 28 nov. 2025.
APA
Silva, J. de A., Hruschka, E. R., & Gama, J. (2017). An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, 67( Ja 2017), 228-238. doi:10.1016/j.eswa.2016.09.020
NLM
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Vancouver
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Artigo de periodico
Heuristic and genetic algorithm approaches for UAV path planning under critical situation (2017)
Arantes, Jesimar da Silva; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta ; Trindade Junior, Onofre; Williams, Brian Charles
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARANTES, Jesimar da Silva et al. Heuristic and genetic algorithm approaches for UAV path planning under critical situation. International Journal on Artificial Intelligence Tools, v. 26, n. 1, p. 1760008-1-1760008-30, 2017Tradução . . Disponível em: https://doi.org/10.1142/S0218213017600089. Acesso em: 28 nov. 2025.
APA
Arantes, J. da S., Arantes, M. da S., Toledo, C. F. M., Trindade Junior, O., & Williams, B. C. (2017). Heuristic and genetic algorithm approaches for UAV path planning under critical situation. International Journal on Artificial Intelligence Tools, 26( 1), 1760008-1-1760008-30. doi:10.1142/S0218213017600089
NLM
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. Heuristic and genetic algorithm approaches for UAV path planning under critical situation [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 1): 1760008-1-1760008-30.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1142/S0218213017600089
Vancouver
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. Heuristic and genetic algorithm approaches for UAV path planning under critical situation [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 1): 1760008-1-1760008-30.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1142/S0218213017600089
Artigo de periodico
Evolutionary computing in recommender systems: a review of recent research (2017)
Horváth, Tomás; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Natural Computing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary computing in recommender systems: a review of recent research. Natural Computing, v. 16, n. 3, p. Se 2017, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11047-016-9540-y. Acesso em: 28 nov. 2025.
APA
Horváth, T., & Carvalho, A. C. P. de L. F. de. (2017). Evolutionary computing in recommender systems: a review of recent research. Natural Computing, 16( 3), Se 2017. doi:10.1007/s11047-016-9540-y
NLM
Horváth T, Carvalho ACP de LF de. Evolutionary computing in recommender systems: a review of recent research [Internet]. Natural Computing. 2017 ; 16( 3): Se 2017.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s11047-016-9540-y
Vancouver
Horváth T, Carvalho ACP de LF de. Evolutionary computing in recommender systems: a review of recent research [Internet]. Natural Computing. 2017 ; 16( 3): Se 2017.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s11047-016-9540-y

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