<i>Evolutionary algorithms for solving multi-objetive problems</i>. Carlos A. Coello Coello, David A. van Veldhuizen and Gary R., Lamont : Kluwer Academic/Plenum Publishers, New York, first edition, 2002

dc.creatorEsquivel, Susana Cecilia
dc.date2002
dc.date2008-10-09T03:00:00Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/9447
dc.identifierhttp://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct02-BR2.pdf
dc.identifierissn:1666-6038
dc.descriptionIn 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.
dc.descriptionFacultad de Informática
dc.formatapplication/pdf
dc.languageen
dc.relationJournal of Computer Science & Technology
dc.relationvol. 2, no. 7
dc.rightshttp://creativecommons.org/licenses/by-nc/3.0/
dc.rightsCreative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.subjectCiencias Informáticas
dc.title<i>Evolutionary algorithms for solving multi-objetive problems</i>. Carlos A. Coello Coello, David A. van Veldhuizen and Gary R., Lamont : Kluwer Academic/Plenum Publishers, New York, first edition, 2002
dc.typeArticulo
dc.typeRevision


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