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ORCIDInformation Sciences, Volume 136
Volume 136, Number 1-4, August 2001
- Oscar Cordón
, Francisco Herrera, Frank Hoffmann, Luis Magdalena:
Recent advances in genetic fuzzy systems - Guest editorial. 1-5 - Frank Hoffmann, Oliver Nelles:
Genetic programming for model selection of TSK-fuzzy systems. 7-28 - Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Hierarchical genetic fuzzy systems. 29-52 - Toshihiro Suzuki, Tetsuji Kodama, Takeshi Furuhashi, Hiroaki Tsutsui:
Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure. 53-67 - Ingo Renners, Adolf Grauel:
Optimizing lattice-based associative memory networks by evolutionary algorithms. 69-84 - 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. 85-107 - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Three-objective genetics-based machine learning for linguistic rule extraction. 109-133 - Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera:
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. 135-157 - Antonio González Muñoz, Raúl Pérez:
An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms. 159-174 - Luciano Sánchez, Inés Couso, José A. Corrales:
Combining GP operators with SA search to evolve fuzzy rule based classifiers. 175-191 - Antonio Fernandez Gómez-Skarmeta, Mercedes Valdés, Fernando Jiménez, Javier G. Marín-Blázquez:
Approximative fuzzy rules approaches for classification with hybrid-GA techniques. 193-214 - Andrea Bonarini, Vito Trianni:
Learning fuzzy classifier systems for multi-agent coordination. 215-239
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