Parallel genetic algorithms: a feasible distributed : Implementation

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 of...

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Detalles Bibliográficos
Autores principales: Ochoa, Claudio, Gallard, Raúl Hector
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 1996
Materias:
Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24166
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-24166
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
spellingShingle Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
Ochoa, Claudio
Gallard, Raúl Hector
Parallel genetic algorithms: a feasible distributed : Implementation
topic_facet Ciencias Informáticas
Algorithms
System architectures
Parallel
Neural nets
ParalIel genetic algoritbms
performance
granularity
island model
migration schemes
interconnectivity
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.
format Objeto de conferencia
Objeto de conferencia
author Ochoa, Claudio
Gallard, Raúl Hector
author_facet Ochoa, Claudio
Gallard, Raúl Hector
author_sort Ochoa, Claudio
title Parallel genetic algorithms: a feasible distributed : Implementation
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
publishDate 1996
url http://sedici.unlp.edu.ar/handle/10915/24166
work_keys_str_mv AT ochoaclaudio parallelgeneticalgorithmsafeasibledistributedimplementation
AT gallardraulhector parallelgeneticalgorithmsafeasibledistributedimplementation
bdutipo_str Repositorios
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