Upload resources

Upload your works to SEDICI to increase its visibility and improve its impact


Show simple item record

dc.date.accessioned 2008-10-09T21:01:43Z
dc.date.available 2008-10-09T03:00:00Z
dc.date.issued 2002
dc.identifier.uri http://hdl.handle.net/10915/9447
dc.description.abstract The area of multi-objective optimization is receiving increasing attention by the comunity of evolutionary computation. In this book the authors present a complete state-of-the art in the field. en
dc.format.extent p. 52 es
dc.language en es
dc.title Evolutionary algorithms for solving multi-objetive problems. Carlos A. Coello Coello, David A. van Veldhuizen and Gary R., Lamont. Kluwer Academic/Plenum Publishers, New York, first edition, 2002 en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/journal/journal7/JCST-Oct02-BR2.pdf es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.descriptores Informática es
sedici.subject.descriptores Aplicación informática es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Revision es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview non-peer-review es
sedici2003.identifier ARG-UNLP-REV-0000000111 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 2, no. 7 es

Download Files

This item appears in the following Collection(s)

Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)