Artigo de periodico

Artificial neural network based crossover for evolutionary algorithms (2020)

• Autor:
  • Tinós, Renato
• Autor USP: TINÓS, RENATO - FFCLRP
• Unidade: FFCLRP
• DOI: 10.1016/j.asoc.2020.106512
• Subjects: ALGORITMOS; REDES NEURAIS; OPERADORES; ALGORITMOS GENÉTICOS
• Keywords: Evolutionary algorithms; Artificial neural networks; Recombination operators; Radial basis function network; Genetic algorithms
• Agências de fomento:
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
    Processo FAPESP: 2019/07665-4
  • Financiamento CNPq
• Language: Inglês
• Imprenta:
  • Publisher place: Amsterdam
  • Date published: 2020
• Source:
  • Título: Applied Soft Computing
  • ISSN: 1568-4946
  • Volume/Número/Paginação/Ano: v. 95, art. 106512, 2020

Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
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• Este artigo NÃO possui versão em acesso aberto
  

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How to cite

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• ABNT

  TINÓS, Renato. Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, v. 95, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106512. Acesso em: 09 mar. 2026.

• APA

  Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512

• NLM

  Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2026 mar. 09 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512

• Vancouver

  Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2026 mar. 09 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512

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