A Scalable Cellular Implementation of Parallel Genetic Programming (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• A Scalable Cellular Implementation of Parallel Genetic Programming (Articolo in rivista) (literal)

Anno

• 2003-01-01T00:00:00+01:00 (literal)

Alternative label

• Folino Gianluigi, Pizzuti Clara, Spezzano Giandomenico (2003)
  A Scalable Cellular Implementation of Parallel Genetic Programming
  in IEEE transactions on evolutionary computation
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Folino Gianluigi, Pizzuti Clara, Spezzano Giandomenico (literal)

Pagina inizio

• 37 (literal)

Pagina fine

• 53 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 7-1 (literal)

Rivista

• IEEE transactions on evolutionary computation (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• A new parallel implementation of genetic programming based on the
  cellular model is presented and compared with both canonical
  genetic programming and the island model approach. The method
  adopts a load balancing policy that avoids the unequal utilization
  of the processors. Experimental results on benchmark problems of
  different complexity show the superiority of the cellular approach
  with respect to the canonical sequential implementation and the
  island model. A theoretical performance analysis reveals the high
  scalability of the implementation realized and allows to predict
  the size of the population when the number of processors and their
  efficiency are fixed. (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• 1,2,3- ICAR-CNR; (literal)

Titolo

• A Scalable Cellular Implementation of Parallel Genetic Programming (literal)

Abstract

• A new parallel implementation of genetic programming based on the
  cellular model is presented and compared with both canonical
  genetic programming and the island model approach. The method
  adopts a load balancing policy that avoids the unequal utilization
  of the processors. Experimental results on benchmark problems of
  different complexity show the superiority of the cellular approach
  with respect to the canonical sequential implementation and the
  island model. A theoretical performance analysis reveals the high
  scalability of the implementation realized and allows to predict
  the size of the population when the number of processors and their
  efficiency are fixed. (literal)

Prodotto di

• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)
• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• CLARA PIZZUTI (Unità di personale interno)
• GIANDOMENICO SPEZZANO (Unità di personale interno)
• GIANLUIGI FOLINO (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)

Autore CNR di

• CLARA PIZZUTI (Unità di personale interno)
• GIANDOMENICO SPEZZANO (Unità di personale interno)
• GIANLUIGI FOLINO (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IEEE transactions on evolutionary computation (Rivista)