Recent advances in genetic fuzzy systems
Genetic programming for model selection of TSK-fuzzy systems
Hierarchical genetic fuzzy systems
Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure
Optimizing lattice-based associative memory networks by evolutionary algorithms
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
Three-objective genetics-based machine learning for linguistic rule extraction
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms
Combining GP operators with SA search to evolve fuzzy rule based classifiers
Approximative fuzzy rules approaches for classification with hybrid-GA techniques
Learning fuzzy classifier systems for multi-agent coordination