Filtros : "Swarm and Evolutionary Computation" Removido: "Indexado no Scopus" Limpar

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  • Source: Swarm and Evolutionary Computation. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, SIMULAÇÃO, TECNOLOGIA DA INFORMAÇÃO, MINERAÇÃO DE DADOS

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    • 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: 07 nov. 2025.
    • 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 2025 nov. 07 ] 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 2025 nov. 07 ] Available from: https://doi.org/10.1016/j.swevo.2019.100618
  • Source: Swarm and Evolutionary Computation. Unidade: EESC

    Subjects: SCHEDULING, ALGORITMOS DE SCHEDULING, HEURÍSTICA

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    • ABNT

      TAVARES NETO, Roberto Fernandes e NAGANO, Marcelo Seido. An Iterated Greedy approach to integrate production by multiple parallel machines and distribution by a single capacitated vehicle. Swarm and Evolutionary Computation, v. 44, p. 612-621, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.swevo.2018.08.001. Acesso em: 07 nov. 2025.
    • APA

      Tavares Neto, R. F., & Nagano, M. S. (2019). An Iterated Greedy approach to integrate production by multiple parallel machines and distribution by a single capacitated vehicle. Swarm and Evolutionary Computation, 44, 612-621. doi:10.1016/j.swevo.2018.08.001
    • NLM

      Tavares Neto RF, Nagano MS. An Iterated Greedy approach to integrate production by multiple parallel machines and distribution by a single capacitated vehicle [Internet]. Swarm and Evolutionary Computation. 2019 ; 44 612-621.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1016/j.swevo.2018.08.001
    • Vancouver

      Tavares Neto RF, Nagano MS. An Iterated Greedy approach to integrate production by multiple parallel machines and distribution by a single capacitated vehicle [Internet]. Swarm and Evolutionary Computation. 2019 ; 44 612-621.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1016/j.swevo.2018.08.001
  • Source: Swarm and Evolutionary Computation. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL

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    • 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: 07 nov. 2025.
    • 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 2025 nov. 07 ] 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 2025 nov. 07 ] Available from: https://doi.org/10.1016/j.swevo.2018.03.002

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