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Filtros : "ALGORITMOS GENÉTICOS" "Indexado no Current Contents" Removido: "Swarm and Evolutionary Computation" Limpar

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1 - 13 (13 records)

  • 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

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      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: 27 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. 27 ] 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. 27 ] 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

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      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: 27 nov. 2025.

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      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

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      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. 27 ] 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. 27 ] 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

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      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: 27 nov. 2025.

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      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. 27 ] 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. 27 ] Available from: https://doi.org/10.1007/s11047-016-9540-y

  • Artigo de periodico

    Investigation of rat exploratory behavior via evolving artificial neural networks (2016)

    Costa, Ariadne de Andrade; Tinós, Renato

    Source: Journal of Neuroscience Methods. Unidade: FFCLRP

    Subjects: REDES NEURAIS, ANSIEDADE, NEUROCIÊNCIAS, ALGORITMOS GENÉTICOS, COMPORTAMENTO EXPLORATÓRIO ANIMAL

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      COSTA, Ariadne de Andrade e TINÓS, Renato. Investigation of rat exploratory behavior via evolving artificial neural networks. Journal of Neuroscience Methods, v. 270, p. 102-110, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2016.06.010. Acesso em: 27 nov. 2025.

    • APA

      Costa, A. de A., & Tinós, R. (2016). Investigation of rat exploratory behavior via evolving artificial neural networks. Journal of Neuroscience Methods, 270, 102-110. doi:10.1016/j.jneumeth.2016.06.010

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      Costa A de A, Tinós R. Investigation of rat exploratory behavior via evolving artificial neural networks [Internet]. Journal of Neuroscience Methods. 2016 ; 270 102-110.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.jneumeth.2016.06.010

    • Vancouver

      Costa A de A, Tinós R. Investigation of rat exploratory behavior via evolving artificial neural networks [Internet]. Journal of Neuroscience Methods. 2016 ; 270 102-110.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.jneumeth.2016.06.010

  • Artigo de periodico

    Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments (2016)

    Faiçal, Bruno S; Pessin, Gustavo; Rocha Filho, Geraldo Pereira ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gomes, Pedro H; Ueyama, Jó

    Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, AGRICULTURA (APLICAÇÕES)

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      FAIÇAL, Bruno S et al. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, v. 25, n. 1, p. 1660003-1-1660003-19, 2016Tradução . . Disponível em: https://doi.org/10.1142/S0218213016600034. Acesso em: 27 nov. 2025.

    • APA

      Faiçal, B. S., Pessin, G., Rocha Filho, G. P., Carvalho, A. C. P. de L. F. de, Gomes, P. H., & Ueyama, J. (2016). Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, 25( 1), 1660003-1-1660003-19. doi:10.1142/S0218213016600034

    • NLM

      Faiçal BS, Pessin G, Rocha Filho GP, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1142/S0218213016600034

    • Vancouver

      Faiçal BS, Pessin G, Rocha Filho GP, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1142/S0218213016600034

  • Artigo de periodico

    Convergence analysis of a new self organizing map based optimization (SOMO) algorithm (2015)

    Khan, Atlas; Xue, Li Zheng; Wei, Wu; Qu, YanPeng; Hussain, Amir; Vêncio, Ricardo Zorzetto Nicoliello

    Source: Cognitive Computation. Unidade: FFCLRP

    Subjects: CIÊNCIA DA COMPUTAÇÃO, COGNIÇÃO, REDES NEURAIS, ALGORITMOS GENÉTICOS

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      KHAN, Atlas et al. Convergence analysis of a new self organizing map based optimization (SOMO) algorithm. Cognitive Computation, v. 7, n. 4, p. 477-486, 2015Tradução . . Disponível em: https://doi.org/10.1007/s12559-014-9315-7. Acesso em: 27 nov. 2025.

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      Khan, A., Xue, L. Z., Wei, W., Qu, Y. P., Hussain, A., & Vêncio, R. Z. N. (2015). Convergence analysis of a new self organizing map based optimization (SOMO) algorithm. Cognitive Computation, 7( 4), 477-486. doi:10.1007/s12559-014-9315-7

    • NLM

      Khan A, Xue LZ, Wei W, Qu YP, Hussain A, Vêncio RZN. Convergence analysis of a new self organizing map based optimization (SOMO) algorithm [Internet]. Cognitive Computation. 2015 ; 7( 4): 477-486.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s12559-014-9315-7

    • Vancouver

      Khan A, Xue LZ, Wei W, Qu YP, Hussain A, Vêncio RZN. Convergence analysis of a new self organizing map based optimization (SOMO) algorithm [Internet]. Cognitive Computation. 2015 ; 7( 4): 477-486.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s12559-014-9315-7

  • Artigo de periodico

    Efficient placement of fault indicators in an actual distribution system using evolutionary computing (2012)

    Usida, Wesley Fernando; Coury, Denis Vinicius ; Flauzino, Rogério Andrade ; Silva, Ivan Nunes da

    Source: IEEE Transactions on Power Systems. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ENERGIA ELÉTRICA (QUALIDADE)

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      USIDA, Wesley Fernando et al. Efficient placement of fault indicators in an actual distribution system using evolutionary computing. IEEE Transactions on Power Systems, v. No 2012, n. 4, p. 1841-1849, 2012Tradução . . Disponível em: https://doi.org/10.1109/TPWRS.2012.2190625. Acesso em: 27 nov. 2025.

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      Usida, W. F., Coury, D. V., Flauzino, R. A., & Silva, I. N. da. (2012). Efficient placement of fault indicators in an actual distribution system using evolutionary computing. IEEE Transactions on Power Systems, No 2012( 4), 1841-1849. doi:10.1109/TPWRS.2012.2190625

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      Usida WF, Coury DV, Flauzino RA, Silva IN da. Efficient placement of fault indicators in an actual distribution system using evolutionary computing [Internet]. IEEE Transactions on Power Systems. 2012 ; No 2012( 4): 1841-1849.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TPWRS.2012.2190625

    • Vancouver

      Usida WF, Coury DV, Flauzino RA, Silva IN da. Efficient placement of fault indicators in an actual distribution system using evolutionary computing [Internet]. IEEE Transactions on Power Systems. 2012 ; No 2012( 4): 1841-1849.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TPWRS.2012.2190625

  • Artigo de periodico

    Nonlinear estimation of neural processing time from BOLD signal with application to decision-making (2012)

    Biazoli Jr., Claudinei Eduardo; Sato, João Ricardo; Cardoso, Ellison Fernando; Brammer, Michael John; Amaro Jr., Edson

    Source: Human Brain Mapping. Unidade: FM

    Subjects: LATERALIDADE, CÓRTEX PR-E-FRONTAL, MODELOS, TOMADA DE DECISÃO, HEMODINÂMICA, ALGORITMOS GENÉTICOS, ESTIMULAÇÃO NÃO LINEAR

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      BIAZOLI JR., Claudinei Eduardo et al. Nonlinear estimation of neural processing time from BOLD signal with application to decision-making. Human Brain Mapping, v. 33, n. 2, p. 334-348, 2012Tradução . . Disponível em: https://doi.org/10.1002/hbm.21214. Acesso em: 27 nov. 2025.

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      Biazoli Jr., C. E., Sato, J. R., Cardoso, E. F., Brammer, M. J., & Amaro Jr., E. (2012). Nonlinear estimation of neural processing time from BOLD signal with application to decision-making. Human Brain Mapping, 33( 2), 334-348. doi:10.1002/hbm.21214

    • NLM

      Biazoli Jr. CE, Sato JR, Cardoso EF, Brammer MJ, Amaro Jr. E. Nonlinear estimation of neural processing time from BOLD signal with application to decision-making [Internet]. Human Brain Mapping. 2012 ; 33( 2): 334-348.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/hbm.21214

    • Vancouver

      Biazoli Jr. CE, Sato JR, Cardoso EF, Brammer MJ, Amaro Jr. E. Nonlinear estimation of neural processing time from BOLD signal with application to decision-making [Internet]. Human Brain Mapping. 2012 ; 33( 2): 334-348.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/hbm.21214

  • Artigo de periodico

    A cost optimization-based design of precast concrete floors using genetic algorithms (2012)

    Albuquerque, Augusto Teixeira de; El Debs, Mounir Khalil ; Melo, Antônio Macário Cartaxo de

    Source: Automation in Construction. Unidade: EESC

    Subjects: ESTRUTURAS DE CONCRETO PRÉ-MOLDADO, ESTRUTURAS (OTIMIZAÇÃO), ALGORITMOS GENÉTICOS

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      ALBUQUERQUE, Augusto Teixeira de e EL DEBS, Mounir Khalil e MELO, Antônio Macário Cartaxo de. A cost optimization-based design of precast concrete floors using genetic algorithms. Automation in Construction, v. 22, p. 348-356, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.autcon.2011.09.013. Acesso em: 27 nov. 2025.

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      Albuquerque, A. T. de, El Debs, M. K., & Melo, A. M. C. de. (2012). A cost optimization-based design of precast concrete floors using genetic algorithms. Automation in Construction, 22, 348-356. doi:10.1016/j.autcon.2011.09.013

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      Albuquerque AT de, El Debs MK, Melo AMC de. A cost optimization-based design of precast concrete floors using genetic algorithms [Internet]. Automation in Construction. 2012 ; 22 348-356.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.autcon.2011.09.013

    • Vancouver

      Albuquerque AT de, El Debs MK, Melo AMC de. A cost optimization-based design of precast concrete floors using genetic algorithms [Internet]. Automation in Construction. 2012 ; 22 348-356.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.autcon.2011.09.013

  • Artigo de periodico

    GOOAL: a routine based on genetic algorithms to track harmonics in electric power systems (2008)

    Coury, Denis Vinicius ; Macêdo, Renata Araripe de; Silva Filho, Donato da; Carneiro, Adriano Alber de França Mendes

    Source: Intelligent Automation and Soft Computing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, SISTEMAS ELÉTRICOS DE POTÊNCIA, ANÁLISE HARMÔNICA

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      COURY, Denis Vinicius et al. GOOAL: a routine based on genetic algorithms to track harmonics in electric power systems. Intelligent Automation and Soft Computing, v. 14, n. 1, p. 1-11, 2008Tradução . . Disponível em: https://doi.org/10.1080/10798587.2008.10642978. Acesso em: 27 nov. 2025.

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      Coury, D. V., Macêdo, R. A. de, Silva Filho, D. da, & Carneiro, A. A. de F. M. (2008). GOOAL: a routine based on genetic algorithms to track harmonics in electric power systems. Intelligent Automation and Soft Computing, 14( 1), 1-11. doi:10.1080/10798587.2008.10642978

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      Coury DV, Macêdo RA de, Silva Filho D da, Carneiro AA de FM. GOOAL: a routine based on genetic algorithms to track harmonics in electric power systems [Internet]. Intelligent Automation and Soft Computing. 2008 ; 14( 1): 1-11.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/10798587.2008.10642978

    • Vancouver

      Coury DV, Macêdo RA de, Silva Filho D da, Carneiro AA de FM. GOOAL: a routine based on genetic algorithms to track harmonics in electric power systems [Internet]. Intelligent Automation and Soft Computing. 2008 ; 14( 1): 1-11.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/10798587.2008.10642978

  • Artigo de periodico

    Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists (2007)

    Castilho, Vanessa Cristina de; El Debs, Mounir Khalil ; Nicoletti, Maria do Carmo

    Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: CONCRETO PROTENDIDO, ALGORITMOS GENÉTICOS

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      CASTILHO, Vanessa Cristina de e EL DEBS, Mounir Khalil e NICOLETTI, Maria do Carmo. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, v. 20, n. 4, p. 519-530, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2006.09.003. Acesso em: 27 nov. 2025.

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      Castilho, V. C. de, El Debs, M. K., & Nicoletti, M. do C. (2007). Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, 20( 4), 519-530. doi:10.1016/j.engappai.2006.09.003

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      Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003

    • Vancouver

      Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003

  • Artigo de periodico

    Water supply reservoir operation by combined genetic algorithm: linear programming (GA-LP) approach (2006)

    Reis, Luisa Fernanda Ribeiro ; Bessler, Floran T.; Walters, Godfrey Antony; Savic, Dragan A.

    Source: Water Resources Management. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO LINEAR, RESERVATÓRIOS (SISTEMAS)

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      REIS, Luisa Fernanda Ribeiro et al. Water supply reservoir operation by combined genetic algorithm: linear programming (GA-LP) approach. Water Resources Management, v. 20, n. 2, p. 227-255, 2006Tradução . . Disponível em: http://www.springerlink.com.w10077.dotlib.com.br/content/jg7q66603522g067/fulltext.pdf. Acesso em: 27 nov. 2025.

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      Reis, L. F. R., Bessler, F. T., Walters, G. A., & Savic, D. A. (2006). Water supply reservoir operation by combined genetic algorithm: linear programming (GA-LP) approach. Water Resources Management, 20( 2), 227-255. Recuperado de http://www.springerlink.com.w10077.dotlib.com.br/content/jg7q66603522g067/fulltext.pdf

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      Reis LFR, Bessler FT, Walters GA, Savic DA. Water supply reservoir operation by combined genetic algorithm: linear programming (GA-LP) approach [Internet]. Water Resources Management. 2006 ; 20( 2): 227-255.[citado 2025 nov. 27 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/jg7q66603522g067/fulltext.pdf

    • Vancouver

      Reis LFR, Bessler FT, Walters GA, Savic DA. Water supply reservoir operation by combined genetic algorithm: linear programming (GA-LP) approach [Internet]. Water Resources Management. 2006 ; 20( 2): 227-255.[citado 2025 nov. 27 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/jg7q66603522g067/fulltext.pdf

  • Artigo de periodico

    Shape optimisation of broadband microstrip antennas using genetic algorithm (2000)

    Choo, Hosung; Hutani, A.; Trintinalia, Luiz Cezar ; Ling, Hao

    Source: Electronics Letters. Unidade: EP

    Subjects: ANTENAS, ALGORITMOS GENÉTICOS

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      CHOO, Hosung et al. Shape optimisation of broadband microstrip antennas using genetic algorithm. Electronics Letters, v. 36, n. 25, p. 2057-2058, 2000Tradução . . Disponível em: https://doi.org/10.1049/el:20001452. Acesso em: 27 nov. 2025.

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      Choo, H., Hutani, A., Trintinalia, L. C., & Ling, H. (2000). Shape optimisation of broadband microstrip antennas using genetic algorithm. Electronics Letters, 36( 25), 2057-2058. doi:10.1049/el:20001452

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      Choo H, Hutani A, Trintinalia LC, Ling H. Shape optimisation of broadband microstrip antennas using genetic algorithm [Internet]. Electronics Letters. 2000 ; 36( 25): 2057-2058.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/el:20001452

    • Vancouver

      Choo H, Hutani A, Trintinalia LC, Ling H. Shape optimisation of broadband microstrip antennas using genetic algorithm [Internet]. Electronics Letters. 2000 ; 36( 25): 2057-2058.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/el:20001452
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