RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Capítulos de libros
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Capítulos de libros
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

Improving cutting-stock plans with multi-objective genetic algorithms

Author:
Muñoz, César; Sierra Sánchez, María RitaUniovi authority; Puente Peinador, JorgeUniovi authority; Rodríguez Vela, María del CaminoUniovi authority; Varela Arias, José RamiroUniovi authority
Publication date:
2007
Editorial:

Springer

Publisher version:
http://dx.doi.org/10.1007/978-3-540-73053-8_53
Citación:
Bio-inspired Modeling of Cognitive Tasks, IWINAC 2007. Lecture Notes in Computer Science, 4527. Springer, Berlin, Heidelberg; doi:10.1007/978-3-540-73053-8_53
Serie:

Lecture Notes in Computer Science;4527

Descripción física:
p. 528-537
Description:

International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007 (2nd. 2007. La Manga del Mar Menor, Spain)

URI:
http://hdl.handle.net/10651/31600
ISBN:
978-3-540-73052-1
DOI:
10.1007/978-3-540-73053-8_53
Collections
  • Capítulos de libros [4820]
Files in this item
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image