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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 In this book the authors present a complete state-of-the art in the field. Then they give an overall vision about the diverse varieties of MOEAs (Multi-Objetive Evolutionary Algorithms) and their performance. Important aspect such as selection and validation of function tests, MOEA comparison metrics and presentations techniques are also analized. The last two chapters describe theoretical and parallelization issues of this algorithhm class. 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 en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct02-BR2.pdf es
sedici.identifier.issn 1666-6038 es
sedici.title.subtitle Kluwer Academic/Plenum Publishers, New York, first edition, 2002 en
sedici.creator.person Esquivel, Susana Cecilia es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.decs Reseña de Libros es
sedici.subject.other MOEAs en
sedici.subject.other Multi-Objetive Evolutionary Algorithms en
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 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

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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)