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Towards Intelligently Designed Evolvable Processors.
Jones, Benedict A H; Chouard, John L P; Branco, Bianca C C; Vissol-Gaudin, Eléonore G B; Pearson, Christopher; Petty, Michael C; Al Moubayed, Noura; Zeze, Dagou A; Groves, Chris.
Afiliação
  • Jones BAH; Department of Engineering, Durham University, Durham, DH1 3LE, UK benedict.jones@durham.ac.uk.
  • Chouard JLP; Department of Engineering, Durham University, Durham, DH1 3LE, UK john.chouard@gmail.com.
  • Branco BCC; Department of Engineering, Durham University, Durham, DH1 3LE, UK bicampanario@icloud.com.
  • Vissol-Gaudin EGB; Department of Engineering, Durham University, Durham, DH1 3LE, UK eleonore.vissol-gaudin@durham.ac.uk.
  • Pearson C; Department of Engineering, Durham University, Durham, DH1 3LE, UK christopher_pearson@icloud.com.
  • Petty MC; Department of Engineering, Durham University, Durham, DH1 3LE, UK m.c.petty@durham.ac.uk.
  • Al Moubayed N; Department of Computer Science, Durham University, Durham, DH1 3LE, UK noura.al-moubayed@durham.ac.uk.
  • Zeze DA; Department of Engineering, Durham University, Durham, DH1 3LE, UK d.a.zeze@durham.ac.uk.
  • Groves C; Department of Engineering, Durham University, Durham, DH1 3LE, UK chris.groves@durham.ac.uk.
Evol Comput ; 30(4): 479-501, 2022 Dec 01.
Article em En | MEDLINE | ID: mdl-35289840
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article