du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring massively parallel models and architectures for efficient computation of evolutionary algorithms
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2004 (English)Doctoral thesis, monograph (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högskola , 2004.
Keywords [en]
evolutionary algorithms, genetic programming, linear machine code, distributed population models, diffusion model, symbolic function regression, time series forecasting, VHDL, FPGA
Identifiers
URN: urn:nbn:se:du-244OAI: oai:dalea.du.se:244DiVA, id: diva2:523310
Available from: 2004-08-16 Created: 2004-08-16 Last updated: 2012-04-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Search in DiVA

By author/editor
Eklund, Sven
By organisation
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 537 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf