García, J. J. . A., J.~J, ~ ., Chica, M. ., del Jesus Díaz, M. J. ., M.~J, ~ ., Herrera Triguero, F. ., & F, ~ . (2007). Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características. Presentado en. (Original work published)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2007
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano Márquez, M. . . (2007). Evolutionary Stratified Training Set Selection for Extracting Classification Rules with trade off Precision-Interpretability. Data \& Knowledge Engineering, 60, 90-108.
Alcalá, R. ., Alcala-Fdez, J. ., Gacto, M. J., & Herrera Triguero, F. . (2007). Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. 1538-1543. London (United Kingdom). (Original work published 2025)
González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2007). Multiobjective genetic algorithm for extractiong subgroup discovery fuzzy rules. 50-57. Honolulu (USA): Omnipress.
2006
Alcalá, R. ., Alcala-Fdez, J. ., Berlanga, F. ., Gacto, M. J., & Herrera Triguero, F. . (2006). Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. 4031, 452-461. Annecy (France): Springer-Verlag.
Alcalá, R. ., Alcala-Fdez, J. ., Berlanga, F. ., Gacto, M. J., & Herrera Triguero, F. . (2006). Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. 3885, 317-328. Tarragona (Spain): Springer.
García López, S. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2006). Incorporating Knowledge in Evolutionary Prototype Selection. 4224, 1358-1366.
Berlanga, F. ., del Jesus Díaz, M. J. ., González García, P. ., Herrera Triguero, F. ., & Mesonero, M. . (2006). Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. 4065, 337-349. Leipzig (Germany): Springer.
Alcalá, R. ., Alcala-Fdez, J. ., Gacto, M. J., & Herrera Triguero, F. . (2006). Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. 53-62.
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano Márquez, M. . . (2006). On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing, 6, 323-332.