Filtros : "Kanda, Jorge Yoshio" "Soares, Carlos" Removido: "Expert Systems" Limpar

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  • Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      KANDA, Jorge Yoshio et al. Selection of algorithms to solve traveling salesman problems using meta-learning. International Journal of Hybrid Intelligent Systems, v. 8, n. 3, p. 117-128, 2011Tradução . . Disponível em: https://doi.org/10.3233/HIS-2011-0133. Acesso em: 30 set. 2024.
    • APA

      Kanda, J. Y., Carvalho, A. C. P. de L. F. de, Hruschka, E. R., & Soares, C. (2011). Selection of algorithms to solve traveling salesman problems using meta-learning. International Journal of Hybrid Intelligent Systems, 8( 3), 117-128. doi:10.3233/HIS-2011-0133
    • NLM

      Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Selection of algorithms to solve traveling salesman problems using meta-learning [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 117-128.[citado 2024 set. 30 ] Available from: https://doi.org/10.3233/HIS-2011-0133
    • Vancouver

      Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Selection of algorithms to solve traveling salesman problems using meta-learning [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 117-128.[citado 2024 set. 30 ] Available from: https://doi.org/10.3233/HIS-2011-0133
  • Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      KANDA, Jorge Yoshio et al. Using meta-learning to recommend meta-heuristics for the traveling salesman problem. 2011, Anais.. Los Alamitos: IEEE Computer Society, 2011. Disponível em: https://doi.org/10.1109/ICMLA.2011.153. Acesso em: 30 set. 2024.
    • APA

      Kanda, J. Y., Carvalho, A. C. P. de L. F. de, Hruschka, E. R., & Soares, C. (2011). Using meta-learning to recommend meta-heuristics for the traveling salesman problem. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ICMLA.2011.153
    • NLM

      Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Using meta-learning to recommend meta-heuristics for the traveling salesman problem [Internet]. Proceedings. 2011 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/ICMLA.2011.153
    • Vancouver

      Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Using meta-learning to recommend meta-heuristics for the traveling salesman problem [Internet]. Proceedings. 2011 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/ICMLA.2011.153
  • Source: Anais. Conference titles: Joint Conference. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      KANDA, Jorge Yoshio et al. Using meta-learning to classify traveling salesman problems. 2010, Anais.. Los Alamitos, CA: IEEE Computer Society, 2010. Disponível em: https://doi.org/10.1109/SBRN.2010.21. Acesso em: 30 set. 2024.
    • APA

      Kanda, J. Y., Carvalho, A. C. P. de L. F. de, Hruschka, E. R., & Soares, C. (2010). Using meta-learning to classify traveling salesman problems. In Anais. Los Alamitos, CA: IEEE Computer Society. doi:10.1109/SBRN.2010.21
    • NLM

      Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Using meta-learning to classify traveling salesman problems [Internet]. Anais. 2010 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/SBRN.2010.21
    • Vancouver

      Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Using meta-learning to classify traveling salesman problems [Internet]. Anais. 2010 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/SBRN.2010.21

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