The MCPC evolution in evolutionary computation

Autores
Esquivel, Susana Cecilia; Leiva, Héctor Ariel; Gallard, Raúl Hector
Año de publicación
1999
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Eje: Redes y sistemas inteligentes
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
evolutionary computation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/22224
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/22224
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network_name_str SEDICI (UNLP)
spelling The MCPC evolution in evolutionary computationEsquivel, Susana CeciliaLeiva, Héctor ArielGallard, Raúl HectorCiencias InformáticasARTIFICIAL INTELLIGENCEevolutionary computationThe 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.Eje: Redes y sistemas inteligentesRed de Universidades con Carreras en Informática (RedUNCI)1999-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/22224spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T11:58:20Zoai:sedici.unlp.edu.ar:10915/22224Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 11:58:21.013SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The MCPC evolution in evolutionary computation
title The MCPC evolution in evolutionary computation
spellingShingle The MCPC evolution in evolutionary computation
Esquivel, Susana Cecilia
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
evolutionary computation
title_short The MCPC evolution in evolutionary computation
title_full The MCPC evolution in evolutionary computation
title_fullStr The MCPC evolution in evolutionary computation
title_full_unstemmed The MCPC evolution in evolutionary computation
title_sort The MCPC evolution in evolutionary computation
dc.creator.none.fl_str_mv Esquivel, Susana Cecilia
Leiva, Héctor Ariel
Gallard, Raúl Hector
author Esquivel, Susana Cecilia
author_facet Esquivel, Susana Cecilia
Leiva, Héctor Ariel
Gallard, Raúl Hector
author_role author
author2 Leiva, Héctor Ariel
Gallard, Raúl Hector
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
evolutionary computation
topic Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
evolutionary computation
dc.description.none.fl_txt_mv 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.
Eje: Redes y sistemas inteligentes
Red de Universidades con Carreras en Informática (RedUNCI)
description 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.
publishDate 1999
dc.date.none.fl_str_mv 1999-05
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/22224
url http://sedici.unlp.edu.ar/handle/10915/22224
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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