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dc.date.accessioned 2012-10-10T15:43:17Z
dc.date.available 2012-10-10T15:43:17Z
dc.date.issued 1999
dc.identifier.uri http://hdl.handle.net/10915/22224
dc.description.abstract The aItemative proposed and known as MCPC [6] has improved the perfonnance of the original Holland's Genetic Algorithms in order to obtain good quality solutions in less execution time. But, it's brought out an important concept in Evolutionary Computation:the relationship between exploration and exploitation of solutions in a problem space. en
dc.format.extent 8 p. es
dc.language es es
dc.title The MCPC evolution in evolutionary computation en
dc.type Objeto de conferencia es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.creator.person Leiva, Héctor Ariel es
sedici.creator.person Gallard, Raúl Hector es
sedici.description.note Eje: Redes y sistemas inteligentes es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword evolutionary computation en
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 1999-05 es
sedici.relation.event I Workshop de Investigadores en Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 ARTIFICIAL INTELLIGENCE es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)