1 | -- | 5 | Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena. Recent advances in genetic fuzzy systems - Guest editorial |
7 | -- | 28 | Frank Hoffmann, Oliver Nelles. Genetic programming for model selection of TSK-fuzzy systems |
29 | -- | 52 | Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide. Hierarchical genetic fuzzy systems |
53 | -- | 67 | T. Suzuki, T. Kodama, Takeshi Furuhashi, Hiroaki Tsutsui. Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure |
69 | -- | 84 | Ingo Renners, Adolf Grauel. Optimizing lattice-based associative memory networks by evolutionary algorithms |
85 | -- | 107 | Oscar Cordón, Francisco Herrera, Luis Magdalena, Pedro Villar. A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base |
109 | -- | 133 | Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata. Three-objective genetics-based machine learning for linguistic rule extraction |
135 | -- | 157 | Jorge Casillas, Oscar Cordón, María José del Jesús, Francisco Herrera. Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems |
159 | -- | 174 | Antonio González, Raúl Pérez. An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms |
175 | -- | 191 | Luciano Sánchez, Inés Couso, José A. Corrales. Combining GP operators with SA search to evolve fuzzy rule based classifiers |
193 | -- | 214 | Antonio F. Gómez-Skarmeta, Mercedes Valdés, Fernando Jiménez, Javier G. Marín-Blázquez. Approximative fuzzy rules approaches for classification with hybrid-GA techniques |
215 | -- | 239 | Andrea Bonarini, Vito Trianni. Learning fuzzy classifier systems for multi-agent coordination |