Paper Info
Title
A fuzzy intelligent controller for genetic algorithms' parameters
Abstract
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, enabling dynamic monitoring and regulation of six GA parameters. The results obtained surpass the GA traditional implementation in many aspects, and open a wide new space for research and study.
Year
DOI
Venue
2006
10.1007/11881070_87
ICNC (1)
Keywords
Field
DocType
fuzzy logic,genetic algorithms,certain lack,great prominence,intelligent agent,evolutionary computation,ga parameter,genetic algorithm,dynamic monitoring,ga traditional implementation,large portion,fuzzy intelligent controller,evolutionary computing,genetics
Population,Heuristic,Intelligent agent,Evolutionary algorithm,Computer science,Fuzzy logic,Evolutionary computation,Artificial intelligence,Fuzzy control system,Machine learning,Genetic algorithm
Conference
Volume
ISSN
ISBN
4221
0302-9743
3-540-45901-4
Citations 
PageRank 
References 
1
0.35
1
Authors
4
Name
Order
Citations
PageRank
Felipe Houat de Brito152.74
Artur Noura Teixeira252.40
Otávio Noura Teixeira3117.99
Roberto Célio Limão de Oliveira41411.61