Ten years of genetic fuzzy systems: Current framework and new trends.
type: Item
instance of: scholarly article
title: Ten years of genetic fuzzy systems: Current framework and new trends.
zbMATH Open document ID: 1050.93513
DOI: 10.1016/S0165-0114(03)00111-8
author: Oscar Cordón
author: Fernando Gomide
author: Francisco Herrera
author: Frank Hoffmann
author: Luis Magdalena
published in: Fuzzy Sets and Systems
publication date: 2004-05-27T00:00:00Z
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 2067572
zbMATH Keywords: Fuzzy rule based systems
zbMATH Keywords: Genetic algorithms
zbMATH Keywords: Genetic fuzzy systems
zbMATH Keywords: Tuning
zbMATH Keywords: Learning
Wikidata QID: Q62608489
MaRDI profile type: Publication
cites work: Q4506248
cites work: Fuzzy control of HVAC systems optimized by genetic algorithms
cites work: Evolving rule-based models. A tool for design of flexible adaptive systems.
cites work: Fuzzy decision support system knowledge base generation using a genetic algorithm
cites work: Q4339068
cites work: Q4328477
cites work: Q4523517
cites work: Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
cites work: Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
cites work: Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
cites work: Q4451071
cites work: A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples.
cites work: Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems
cites work: Genetic Fuzzy Systems
cites work: A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
cites work: Q4935517
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Q4272696
cites work: Q4252012
cites work: Q4854595
cites work: Coordination between autonomous robots.
cites work: Q4692508
cites work: Q4449269
cites work: An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms
cites work: A genetic-algorithm-based method for tuning fuzzy logic controllers
cites work: A cascaded genetic algorithm for improving fuzzy-system design
cites work: Tuning fuzzy logic controllers by genetic algorithms
cites work: Genetic algorithms and soft computing
cites work: Genetic programming for model selection of TSK-fuzzy systems
cites work: Evolutionary design of a fuzzy knowledge base for a mobile robot.
cites work: Q4079017
cites work: Three-objective genetics-based machine learning for linguistic rule extraction
cites work: An optimal design of neuro-FLC by Lamarckian co-adaption of learning and evolution
cites work: Genetic programming III. Darwinian invention and problem solving
cites work: Learning classifier systems resources
cites work: What should a classifier system learn and how should we measure it?
cites work: Q2769922
cites work: Neural-network-based fuzzy logic control and decision system
cites work: Q4252016
cites work: Adapting the gain of an FLC with genetic algorithms
cites work: A fuzzy logic controller with learning through the evolution of its knowledge base
cites work: A GA-based fuzzy modeling approach for generating TSK models
cites work: Q3127233
cites work: Q4347107
cites work: Hierarchical genetic fuzzy systems
cites work: Multidimensional and multideme genetic algorithms for the construction of fuzzy systems
cites work: A niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction
cites work: Combining GP operators with SA search to evolve fuzzy rule based classifiers
cites work: Q2997988
cites work: NN-driven fuzzy reasoning
cites work: Multidimensional optimization with a fuzzy genetic algorithm
full work available at URL: s0165-0114(03)00111-8
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