ReP USP - Resultado da busca

Artigo de periodico
Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment (2024)
Inomoto, Roberto Sussumu; Sguarezi Filho, Alfeu Joãozinho; Monteiro, José Roberto Boffino de Almeida ; Costa, Eduardo Coelho Marques da
Source: Results in Control and Optimization. Unidades: EP, EESC
Subjects: INTERNET DAS COISAS, ALGORITMOS GENÉTICOS, ENERGIA SOLAR, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
INOMOTO, Roberto Sussumu et al. Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment. Results in Control and Optimization, v. 14, p. 1-15, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.rico.2024.100389. Acesso em: 13 nov. 2024.
APA
Inomoto, R. S., Sguarezi Filho, A. J., Monteiro, J. R. B. de A., & Costa, E. C. M. da. (2024). Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment. Results in Control and Optimization, 14, 1-15. doi:10.1016/j.rico.2024.100389
NLM
Inomoto RS, Sguarezi Filho AJ, Monteiro JRB de A, Costa ECM da. Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment [Internet]. Results in Control and Optimization. 2024 ; 14 1-15.[citado 2024 nov. 13 ] Available from: http://dx.doi.org/10.1016/j.rico.2024.100389
Vancouver
Inomoto RS, Sguarezi Filho AJ, Monteiro JRB de A, Costa ECM da. Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment [Internet]. Results in Control and Optimization. 2024 ; 14 1-15.[citado 2024 nov. 13 ] Available from: http://dx.doi.org/10.1016/j.rico.2024.100389
Artigo de periodico
Efficiency-stability trade-off in financial systems: a multi-objective optimization approach (2023)
Alexandre, Michel ; Michalak, Krzysztof ; Silva, Thiago Christiano ; Rodrigues, Francisco Aparecido
Source: Physica A. Unidades: ICMC, FEA
Subjects: REDES COMPLEXAS, FINANÇAS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALEXANDRE, Michel et al. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach. Physica A, v. 629, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2023.129213. Acesso em: 13 nov. 2024.
APA
Alexandre, M., Michalak, K., Silva, T. C., & Rodrigues, F. A. (2023). Efficiency-stability trade-off in financial systems: a multi-objective optimization approach. Physica A, 629, 1-9. doi:10.1016/j.physa.2023.129213
NLM
Alexandre M, Michalak K, Silva TC, Rodrigues FA. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach [Internet]. Physica A. 2023 ; 629 1-9.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
Vancouver
Alexandre M, Michalak K, Silva TC, Rodrigues FA. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach [Internet]. Physica A. 2023 ; 629 1-9.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
Artigo de periodico
Evolving interpretable strategies for zero-sum games (2022)
Mariño, Julian Ricardo Hernandez ; Toledo, Claudio Fabiano Motta
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO GENÉTICA, JOGOS DE COMPUTADOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARIÑO, Julian Ricardo Hernandez e TOLEDO, Claudio Fabiano Motta. Evolving interpretable strategies for zero-sum games. Applied Soft Computing, v. 122, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108860. Acesso em: 13 nov. 2024.
APA
Mariño, J. R. H., & Toledo, C. F. M. (2022). Evolving interpretable strategies for zero-sum games. Applied Soft Computing, 122, 1-11. doi:10.1016/j.asoc.2022.108860
NLM
Mariño JRH, Toledo CFM. Evolving interpretable strategies for zero-sum games [Internet]. Applied Soft Computing. 2022 ; 122 1-11.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2022.108860
Vancouver
Mariño JRH, Toledo CFM. Evolving interpretable strategies for zero-sum games [Internet]. Applied Soft Computing. 2022 ; 122 1-11.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2022.108860
Artigo de periodico
A novel BRKGA for the customer order scheduling with missing operations to minimize total tardiness (2022)
Abreu, Levi Ribeiro de; Prata, Bruno de Athayde; Gomes, Allan Costa; Santos, Stephanie Alencar Braga; Nagano, Marcelo Seido
Source: Swarm and Evolutionary Computation. Unidade: EESC
Subjects: INDÚSTRIA FARMACÊUTICA, CONTATOS COM CLIENTES, ALGORITMOS GENÉTICOS, ENGENHARIA DE PRODUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ABREU, Levi Ribeiro de et al. A novel BRKGA for the customer order scheduling with missing operations to minimize total tardiness. Swarm and Evolutionary Computation, v. 75, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.swevo.2022.101149. Acesso em: 13 nov. 2024.
APA
Abreu, L. R. de, Prata, B. de A., Gomes, A. C., Santos, S. A. B., & Nagano, M. S. (2022). A novel BRKGA for the customer order scheduling with missing operations to minimize total tardiness. Swarm and Evolutionary Computation, 75, 1-13. doi:10.1016/j.swevo.2022.101149
NLM
Abreu LR de, Prata B de A, Gomes AC, Santos SAB, Nagano MS. A novel BRKGA for the customer order scheduling with missing operations to minimize total tardiness [Internet]. Swarm and Evolutionary Computation. 2022 ; 75 1-13.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2022.101149
Vancouver
Abreu LR de, Prata B de A, Gomes AC, Santos SAB, Nagano MS. A novel BRKGA for the customer order scheduling with missing operations to minimize total tardiness [Internet]. Swarm and Evolutionary Computation. 2022 ; 75 1-13.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2022.101149
Artigo de periodico
Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics (2022)
Viana, Breno Mauricio de Freitas ; Pereira, Leonardo Tortoro ; Toledo, Claudio Fabiano Motta ; Santos, Selan Rodrigues dos ; Maia, Sílvia Maria Diniz Monteiro
Source: Applied Soft Computing. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, OTIMIZAÇÃO RESTRITA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Breno Mauricio de Freitas et al. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, v. 119, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108586. Acesso em: 13 nov. 2024.
APA
Viana, B. M. de F., Pereira, L. T., Toledo, C. F. M., Santos, S. R. dos, & Maia, S. M. D. M. (2022). Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, 119, 1-16. doi:10.1016/j.asoc.2022.108586
NLM
Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
Vancouver
Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
Artigo de periodico
Path‑following algorithms comparison using software‑in‑the‑loop simulations for UAVs (2022)
Xavier, Daniel Martin ; Silva, Natassya Barlate Floro da ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Journal of Intelligent and Robotic Systems. Unidades: ICMC, EESC
Subjects: AERONAVES NÃO TRIPULADAS, ALGORITMOS GENÉTICOS, VENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
XAVIER, Daniel Martin e SILVA, Natassya Barlate Floro da e BRANCO, Kalinka Regina Lucas Jaquie Castelo. Path‑following algorithms comparison using software‑in‑the‑loop simulations for UAVs. Journal of Intelligent and Robotic Systems, v. 106, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10846-022-01764-4. Acesso em: 13 nov. 2024.
APA
Xavier, D. M., Silva, N. B. F. da, & Branco, K. R. L. J. C. (2022). Path‑following algorithms comparison using software‑in‑the‑loop simulations for UAVs. Journal of Intelligent and Robotic Systems, 106, 1-17. doi:10.1007/s10846-022-01764-4
NLM
Xavier DM, Silva NBF da, Branco KRLJC. Path‑following algorithms comparison using software‑in‑the‑loop simulations for UAVs [Internet]. Journal of Intelligent and Robotic Systems. 2022 ; 106 1-17.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s10846-022-01764-4
Vancouver
Xavier DM, Silva NBF da, Branco KRLJC. Path‑following algorithms comparison using software‑in‑the‑loop simulations for UAVs [Internet]. Journal of Intelligent and Robotic Systems. 2022 ; 106 1-17.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s10846-022-01764-4
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 13 nov. 2024.
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 2024 nov. 13 ] 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 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2022.108778
Artigo de periodico
Two effective methods for the irregular knapsack problem (2020)
Queiroz, Layane Rodrigues de Souza ; Andretta, Marina
Source: Applied Soft Computing Journal. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUEIROZ, Layane Rodrigues de Souza e ANDRETTA, Marina. Two effective methods for the irregular knapsack problem. Applied Soft Computing Journal, v. 95, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106485. Acesso em: 13 nov. 2024.
APA
Queiroz, L. R. de S., & Andretta, M. (2020). Two effective methods for the irregular knapsack problem. Applied Soft Computing Journal, 95, 1-16. doi:10.1016/j.asoc.2020.106485
NLM
Queiroz LR de S, Andretta M. Two effective methods for the irregular knapsack problem [Internet]. Applied Soft Computing Journal. 2020 ; 95 1-16.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2020.106485
Vancouver
Queiroz LR de S, Andretta M. Two effective methods for the irregular knapsack problem [Internet]. Applied Soft Computing Journal. 2020 ; 95 1-16.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2020.106485
Artigo de periodico
Artificial neural network based crossover for evolutionary algorithms (2020)
Tinós, Renato
Source: Applied Soft Computing. Unidade: FFCLRP
Subjects: ALGORITMOS, REDES NEURAIS, OPERADORES, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TINÓS, Renato. Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, v. 95, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106512. Acesso em: 13 nov. 2024.
APA
Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512
NLM
Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
Vancouver
Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
Artigo de periodico
Unsupervised feature selection based on bio-inspired approaches (2020)
Martarelli, Nádia Junqueira; Nagano, Marcelo Seido
Source: Swarm and Evolutionary Computation. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, SIMULAÇÃO, TECNOLOGIA DA INFORMAÇÃO, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTARELLI, Nádia Junqueira e NAGANO, Marcelo Seido. Unsupervised feature selection based on bio-inspired approaches. Swarm and Evolutionary Computation, v. 52, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.swevo.2019.100618. Acesso em: 13 nov. 2024.
APA
Martarelli, N. J., & Nagano, M. S. (2020). Unsupervised feature selection based on bio-inspired approaches. Swarm and Evolutionary Computation, 52. doi:10.1016/j.swevo.2019.100618
NLM
Martarelli NJ, Nagano MS. Unsupervised feature selection based on bio-inspired approaches [Internet]. Swarm and Evolutionary Computation. 2020 ; 52[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2019.100618
Vancouver
Martarelli NJ, Nagano MS. Unsupervised feature selection based on bio-inspired approaches [Internet]. Swarm and Evolutionary Computation. 2020 ; 52[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2019.100618
Artigo de periodico
Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization (2019)
Martins, Jean Paulo; Delbem, Alexandre Cláudio Botazzo
Source: Swarm and Evolutionary Computation. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, PARETO OTIMALIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Jean Paulo e DELBEM, Alexandre Cláudio Botazzo. Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization. Swarm and Evolutionary Computation, v. 48, p. 145-155, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.swevo.2019.04.005. Acesso em: 13 nov. 2024.
APA
Martins, J. P., & Delbem, A. C. B. (2019). Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization. Swarm and Evolutionary Computation, 48, 145-155. doi:10.1016/j.swevo.2019.04.005
NLM
Martins JP, Delbem ACB. Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization [Internet]. Swarm and Evolutionary Computation. 2019 ; 48 145-155.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2019.04.005
Vancouver
Martins JP, Delbem ACB. Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization [Internet]. Swarm and Evolutionary Computation. 2019 ; 48 145-155.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2019.04.005
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 13 nov. 2024.
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 2024 nov. 13 ] 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 2024 nov. 13 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 13 nov. 2024.
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 2024 nov. 13 ] 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 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Artigo de periodico
An empirical evaluation of evolutionary algorithms for unit test suite generation (2018)
Campos, José; Ge, Yan; Albunian, Nasser; Fraser, Gordon; Eler, Marcelo Medeiros; Arcuri, Andrea
Source: Information and Software Technology. Unidade: EACH
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAMPOS, José et al. An empirical evaluation of evolutionary algorithms for unit test suite generation. Information and Software Technology, v. 104, p. 207-235, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.infsof.2018.08.010. Acesso em: 13 nov. 2024.
APA
Campos, J., Ge, Y., Albunian, N., Fraser, G., Eler, M. M., & Arcuri, A. (2018). An empirical evaluation of evolutionary algorithms for unit test suite generation. Information and Software Technology, 104, 207-235. doi:10.1016/j.infsof.2018.08.010
NLM
Campos J, Ge Y, Albunian N, Fraser G, Eler MM, Arcuri A. An empirical evaluation of evolutionary algorithms for unit test suite generation [Internet]. Information and Software Technology. 2018 ; 104 207-235.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.infsof.2018.08.010
Vancouver
Campos J, Ge Y, Albunian N, Fraser G, Eler MM, Arcuri A. An empirical evaluation of evolutionary algorithms for unit test suite generation [Internet]. Information and Software Technology. 2018 ; 104 207-235.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.infsof.2018.08.010
Artigo de periodico
GS²: an optimized attribute control chart to monitor process variability (2018)
Bezerra, Erica Leandro; Ho, Linda Lee ; Quinino, Roberto da Costa
Source: International Journal of Production Economics. Unidade: EP
Subjects: GRÁFICOS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BEZERRA, Erica Leandro e HO, Linda Lee e QUININO, Roberto da Costa. GS²: an optimized attribute control chart to monitor process variability. International Journal of Production Economics, v. 195, n. Ja 2018, p. 287-295, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijpe.2017.10.023. Acesso em: 13 nov. 2024.
APA
Bezerra, E. L., Ho, L. L., & Quinino, R. da C. (2018). GS²: an optimized attribute control chart to monitor process variability. International Journal of Production Economics, 195( Ja 2018), 287-295. doi:10.1016/j.ijpe.2017.10.023
NLM
Bezerra EL, Ho LL, Quinino R da C. GS²: an optimized attribute control chart to monitor process variability [Internet]. International Journal of Production Economics. 2018 ; 195( Ja 2018): 287-295.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.ijpe.2017.10.023
Vancouver
Bezerra EL, Ho LL, Quinino R da C. GS²: an optimized attribute control chart to monitor process variability [Internet]. International Journal of Production Economics. 2018 ; 195( Ja 2018): 287-295.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.ijpe.2017.10.023
Artigo de periodico
Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds (2018)
Shishido, Henrique Yoshikazu; Estrella, Júlio Cezar ; Toledo, Claudio Fabiano Motta ; Arantes, Márcio Silva
Source: Computers and Electrical Engineering. Unidade: ICMC
Subjects: ENGENHARIA DE SOFTWARE, SISTEMAS DE INFORMAÇÃO, SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, COMPUTAÇÃO EM NUVEM, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHISHIDO, Henrique Yoshikazu et al. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds. Computers and Electrical Engineering, v. 69, p. 378-394, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compeleceng.2017.12.004. Acesso em: 13 nov. 2024.
APA
Shishido, H. Y., Estrella, J. C., Toledo, C. F. M., & Arantes, M. S. (2018). Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds. Computers and Electrical Engineering, 69, 378-394. doi:10.1016/j.compeleceng.2017.12.004
NLM
Shishido HY, Estrella JC, Toledo CFM, Arantes MS. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds [Internet]. Computers and Electrical Engineering. 2018 ; 69 378-394.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004
Vancouver
Shishido HY, Estrella JC, Toledo CFM, Arantes MS. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds [Internet]. Computers and Electrical Engineering. 2018 ; 69 378-394.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.compeleceng.2017.12.004
Artigo de periodico
A constructive evolutionary approach for feature selection in unsupervised learning (2018)
Martarelli, Nádia Junqueira; Nagano, Marcelo Seido
Source: Swarm and Evolutionary Computation. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTARELLI, Nádia Junqueira e NAGANO, Marcelo Seido. A constructive evolutionary approach for feature selection in unsupervised learning. Swarm and Evolutionary Computation, v. 42, p. 125-137, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.swevo.2018.03.002. Acesso em: 13 nov. 2024.
APA
Martarelli, N. J., & Nagano, M. S. (2018). A constructive evolutionary approach for feature selection in unsupervised learning. Swarm and Evolutionary Computation, 42, 125-137. doi:10.1016/j.swevo.2018.03.002
NLM
Martarelli NJ, Nagano MS. A constructive evolutionary approach for feature selection in unsupervised learning [Internet]. Swarm and Evolutionary Computation. 2018 ; 42 125-137.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2018.03.002
Vancouver
Martarelli NJ, Nagano MS. A constructive evolutionary approach for feature selection in unsupervised learning [Internet]. Swarm and Evolutionary Computation. 2018 ; 42 125-137.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.swevo.2018.03.002
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: 13 nov. 2024.
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 2024 nov. 13 ] 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 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
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: 13 nov. 2024.
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 2024 nov. 13 ] 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 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11047-016-9540-y
Artigo de periodico
A biased random key genetic algorithm for the field technician scheduling problem (2016)
Damm, Ricardo de Brito; Resende, Mauricio G. C ; Ronconi, Débora Pretti
Source: Computers & Operations Research. Unidade: EP
Subjects: ALGORITMOS GENÉTICOS, HEURÍSTICA, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAMM, Ricardo de Brito e RESENDE, Mauricio G. C e RONCONI, Débora Pretti. A biased random key genetic algorithm for the field technician scheduling problem. Computers & Operations Research, v. No 2016, p. 49-63, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.05.003. Acesso em: 13 nov. 2024.
APA
Damm, R. de B., Resende, M. G. C., & Ronconi, D. P. (2016). A biased random key genetic algorithm for the field technician scheduling problem. Computers & Operations Research, No 2016, 49-63. doi:10.1016/j.cor.2016.05.003
NLM
Damm R de B, Resende MGC, Ronconi DP. A biased random key genetic algorithm for the field technician scheduling problem [Internet]. Computers & Operations Research. 2016 ; No 2016 49-63.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cor.2016.05.003
Vancouver
Damm R de B, Resende MGC, Ronconi DP. A biased random key genetic algorithm for the field technician scheduling problem [Internet]. Computers & Operations Research. 2016 ; No 2016 49-63.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cor.2016.05.003

USP Schools

ReP

Filtros

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration