A Fuzzy Approach to Control Genetic Algorithm Parameters

Genetic Algorithms have been successful in several practical appliances and obtained great prominence among the techniques of Evolutionary Computation. A large portion of methods and parameters adopted in its use are heuristic or random choices, which remain unchanged throughout the execution once t...

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Autores principales: Houat de Brito, Felipe, Noura Teixeira, Artur, Noura Teixeira, Otávio, Oliveira, Roberto C. L.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2007
Materias:
Ciencias Informáticas
Evolutionary Computation
Genetic algorithms
Fuzzy Systems
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/135731
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/93
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SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-135731
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Evolutionary Computation
Genetic algorithms
Fuzzy Systems
spellingShingle Ciencias Informáticas
Evolutionary Computation
Genetic algorithms
Fuzzy Systems
Houat de Brito, Felipe
Noura Teixeira, Artur
Noura Teixeira, Otávio
Oliveira, Roberto C. L.
A Fuzzy Approach to Control Genetic Algorithm Parameters
topic_facet Ciencias Informáticas
Evolutionary Computation
Genetic algorithms
Fuzzy Systems
description Genetic Algorithms have been successful in several practical appliances and obtained great prominence among the techniques of Evolutionary Computation. A large portion of methods and parameters adopted in its use are heuristic or random choices, which remain unchanged throughout the execution once they are set. This can lead to a certain lack of exploration of the search surface and also compromise the variability of the population. For that matter, this work introduces the implementation of an intelligent agent based on fuzzy logic, which dynamically monitors and regulates six GA parameters. The results obtained surpass the GA traditional implementation in many aspects, and open a wide new space for research and study.
format Articulo
Articulo
author Houat de Brito, Felipe
Noura Teixeira, Artur
Noura Teixeira, Otávio
Oliveira, Roberto C. L.
author_facet Houat de Brito, Felipe
Noura Teixeira, Artur
Noura Teixeira, Otávio
Oliveira, Roberto C. L.
author_sort Houat de Brito, Felipe
title A Fuzzy Approach to Control Genetic Algorithm Parameters
title_short A Fuzzy Approach to Control Genetic Algorithm Parameters
title_full A Fuzzy Approach to Control Genetic Algorithm Parameters
title_fullStr A Fuzzy Approach to Control Genetic Algorithm Parameters
title_full_unstemmed A Fuzzy Approach to Control Genetic Algorithm Parameters
title_sort fuzzy approach to control genetic algorithm parameters
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/135731
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/93
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