Filtros : "Lecture Notes in Computer Science" "DELBEM, ALEXANDRE CLÁUDIO BOTAZZO" Removido: "Springer" Limpar

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  • Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Evolutionary Multi-Criterion Optimization. Unidades: EESC, ICMC

    Assuntos: ALGORITMOS, SISTEMAS DISTRIBUÍDOS

    Acesso à fonteDOIComo citar
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    • ABNT

      GOIS, Marcilene Moreira et al. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-37140-0_57. Acesso em: 05 nov. 2025. , 2013
    • APA

      Gois, M. M., Sanches, D. S., Martins, J. P., London Junior, J. B. A., & Delbem, A. C. B. (2013). Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-37140-0_57
    • NLM

      Gois MM, Sanches DS, Martins JP, London Junior JBA, Delbem ACB. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science. 2013 ; 7811 771-786.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-37140-0_57
    • Vancouver

      Gois MM, Sanches DS, Martins JP, London Junior JBA, Delbem ACB. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science. 2013 ; 7811 771-786.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-37140-0_57
  • Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference - EMO. Unidade: ICMC

    Assuntos: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteComo citar
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    • ABNT

      CANCINO, Waldo e DELBEM, Alexandre Cláudio Botazzo. A multi-objective evolutionary approach for phylogenetic inference. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994. Acesso em: 05 nov. 2025. , 2007
    • APA

      Cancino, W., & Delbem, A. C. B. (2007). A multi-objective evolutionary approach for phylogenetic inference. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994
    • NLM

      Cancino W, Delbem ACB. A multi-objective evolutionary approach for phylogenetic inference [Internet]. Lecture Notes in Computer Science. 2007 ; 4403 428-442.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994
    • Vancouver

      Cancino W, Delbem ACB. A multi-objective evolutionary approach for phylogenetic inference [Internet]. Lecture Notes in Computer Science. 2007 ; 4403 428-442.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994

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