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  • Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, SISTEMAS HÍBRIDOS, VIAGENS, BENCHMARKS

    Acesso à fonteDOIHow to cite
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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: 03 out. 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 out. 03 ] 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 out. 03 ] Available from: https://doi.org/10.1109/CEC.2018.8477710
  • Source: Neurocomputing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, BENCHMARKS, OPERADORES

    Acesso à fonteDOIHow to cite
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    • ABNT

      ESPEZUA, Soledad e VILLANUEVA, Edwin e MACIEL, Carlos Dias. Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing, v. 123, n. Ja 2014, p. 40-48, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2012.09.045. Acesso em: 03 out. 2024.
    • APA

      Espezua, S., Villanueva, E., & Maciel, C. D. (2014). Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing, 123( Ja 2014), 40-48. doi:10.1016/j.neucom.2012.09.045
    • NLM

      Espezua S, Villanueva E, Maciel CD. Towards an efficient genetic algorithm optimizer for sequential projection pursuit [Internet]. Neurocomputing. 2014 ; 123( Ja 2014): 40-48.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2012.09.045
    • Vancouver

      Espezua S, Villanueva E, Maciel CD. Towards an efficient genetic algorithm optimizer for sequential projection pursuit [Internet]. Neurocomputing. 2014 ; 123( Ja 2014): 40-48.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.neucom.2012.09.045
  • Source: European Journal of Operational Research. Unidade: EP

    Subjects: TRANSPORTE RODOVIÁRIO, ALGORITMOS GENÉTICOS, HEURÍSTICA, BENCHMARKS

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    • ABNT

      CUNHA, Cláudio Barbieri da e SILVA, Marcos Roberto. A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil. European Journal of Operational Research, v. 179, n. 3, p. 16 747-758, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2005.03.057. Acesso em: 03 out. 2024.
    • APA

      Cunha, C. B. da, & Silva, M. R. (2007). A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil. European Journal of Operational Research, 179( 3), 16 747-758. doi:10.1016/j.ejor.2005.03.057
    • NLM

      Cunha CB da, Silva MR. A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil [Internet]. European Journal of Operational Research. 2007 ; 179( 3): 16 747-758.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.ejor.2005.03.057
    • Vancouver

      Cunha CB da, Silva MR. A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil [Internet]. European Journal of Operational Research. 2007 ; 179( 3): 16 747-758.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.ejor.2005.03.057

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