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dc.date.accessioned 2010-10-01T18:19:35Z
dc.date.available 2010-10-01T03:00:00Z
dc.date.issued 2009-04
dc.identifier.uri http://hdl.handle.net/10915/9648
dc.description.abstract The use of evolutionary and swarm intelligence algorithms, has become a very popular option to solve complex real-world optimization problems. However, in their original versions, these algorithms lack a mechanism to handle the constraints of the problem i.e. they were designed to deal with unconstrained search spaces. Therefore, the design of constraint-handling mechanism is nowadays considered a research area within natureinspired computation for optimization. en
dc.format.extent p. 34-35 es
dc.language en es
dc.title Constraint-Handling in Evolutionary Optimization; Efrén Mezura-Montes (Editor) en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr09-BR1.pdf es
sedici.identifier.issn 1666-6038 es
sedici.title.subtitle Springer, Studies in Computational Intelligence Series Vol. 198, 1st Edition, 2009. ISBN: 978-3-642-00618-0 en
sedici.creator.person Mezura-Montes, Efrén es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.materias 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-0000000286 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 9, no. 1 es
sedici.subject.acmcss98 Algorithms es
sedici.subject.acmcss98 Optimization 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)