Parallel genetic algorithms: a feasible distributed : Implementation

Autores
Ochoa, Claudio; Gallard, Raúl Hector
Año de publicación
1996
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Parallel genetic algorithms, models and implementations, attempts to exploit the intrinsically parallel nature of genetic algorithms. By distributing the total population, these models ref1ects a bebaviour nearer to that of natural systems. A variety of parallel computer systems architectures can offer distinct support features for their implementation. Ibis paper shows sorne remarkable characteristics of parallel genetic algorithms, details of a feasible design and their implementation. A1so some results related to the island model are shown.
Eje: Redes Neuronales. Algoritmos genéticos
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
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:10915/24166
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/24166
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Parallel genetic algorithms: a feasible distributed : ImplementationOchoa, ClaudioGallard, Raúl HectorCiencias InformáticasAlgorithmsSystem architecturesParallelNeural netsParalIel genetic algoritbmsperformancegranularityisland modelmigration schemesinterconnectivityParallel genetic algorithms, models and implementations, attempts to exploit the intrinsically parallel nature of genetic algorithms. By distributing the total population, these models ref1ects a bebaviour nearer to that of natural systems. A variety of parallel computer systems architectures can offer distinct support features for their implementation. Ibis paper shows sorne remarkable characteristics of parallel genetic algorithms, details of a feasible design and their implementation. A1so some results related to the island model are shown.Eje: Redes Neuronales. Algoritmos genéticosRed de Universidades con Carreras en Informática (RedUNCI)1996-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf189-199http://sedici.unlp.edu.ar/handle/10915/24166spainfo: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:UNLP2025-11-12T10:20:38Zoai:sedici.unlp.edu.ar:10915/24166Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-12 10:20:39.217SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Parallel genetic algorithms: a feasible distributed : Implementation
title Parallel genetic algorithms: a feasible distributed : Implementation
spellingShingle Parallel genetic algorithms: a feasible distributed : Implementation
Ochoa, Claudio
Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
title_short Parallel genetic algorithms: a feasible distributed : Implementation
title_full Parallel genetic algorithms: a feasible distributed : Implementation
title_fullStr Parallel genetic algorithms: a feasible distributed : Implementation
title_full_unstemmed Parallel genetic algorithms: a feasible distributed : Implementation
title_sort Parallel genetic algorithms: a feasible distributed : Implementation
dc.creator.none.fl_str_mv Ochoa, Claudio
Gallard, Raúl Hector
author Ochoa, Claudio
author_facet Ochoa, Claudio
Gallard, Raúl Hector
author_role author
author2 Gallard, Raúl Hector
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
topic Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
dc.description.none.fl_txt_mv Parallel genetic algorithms, models and implementations, attempts to exploit the intrinsically parallel nature of genetic algorithms. By distributing the total population, these models ref1ects a bebaviour nearer to that of natural systems. A variety of parallel computer systems architectures can offer distinct support features for their implementation. Ibis paper shows sorne remarkable characteristics of parallel genetic algorithms, details of a feasible design and their implementation. A1so some results related to the island model are shown.
Eje: Redes Neuronales. Algoritmos genéticos
Red de Universidades con Carreras en Informática (RedUNCI)
description Parallel genetic algorithms, models and implementations, attempts to exploit the intrinsically parallel nature of genetic algorithms. By distributing the total population, these models ref1ects a bebaviour nearer to that of natural systems. A variety of parallel computer systems architectures can offer distinct support features for their implementation. Ibis paper shows sorne remarkable characteristics of parallel genetic algorithms, details of a feasible design and their implementation. A1so some results related to the island model are shown.
publishDate 1996
dc.date.none.fl_str_mv 1996-11
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
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url http://sedici.unlp.edu.ar/handle/10915/24166
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
189-199
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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