Subir material

Suba sus trabajos a SEDICI, para mejorar notoriamente su visibilidad e impacto

 

Mostrar el registro sencillo del ítem

dc.date.accessioned 2012-10-10T15:25:57Z
dc.date.available 2012-10-10T15:25:57Z
dc.date.issued 1999
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22220
dc.description.abstract Selection mechanisms favour reproduction of better individuals imposing a direction on the search process. According to this it is expected that the effective number of offspring of an individual in the next generation would always agree with the algorithmic sampling frequencies. This does not happens due to sampling errors. Stochastic universal sampling is a method that tries to remedy this problem. This presentation discusses performance results on evolutionary algorithms optimizing a set of highly multimodal functions and a hard unimodal function, under Proportional selection and stochastic universal sampling. Contrasting results are shown. en
dc.language en es
dc.subject stochastic universal sampling en
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject Algorithms es
dc.subject proportional selection en
dc.subject genetic algorithms en
dc.title A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms en
dc.type Objeto de conferencia es
sedici.creator.person Minetti, Gabriela F. es
sedici.creator.person Salto, Carolina es
sedici.creator.person Alfonso, Hugo es
sedici.creator.person Gallard, Raúl Hector es
sedici.description.note Eje: Redes y sistemas inteligentes es
sedici.subject.materias Ciencias Informáticas es
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


Descargar archivos

Thumbnail
Documento completo
Descargar archivo (261.8Kb) - PDF

Este ítem aparece en la(s) siguiente(s) colección(ones)

Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)