Alcalá, R., Alcala-Fdez, J., Gacto, M. J., & Herrera Triguero, F. (2008). On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection (A. Ghosh, S. Dehuri, & S. Ghosh, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-77467-9_5
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2008
Lozano Márquez, M., Cano De Amo, J. R., & Herrera Triguero, F. (2008). Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Information Sciences, 178, 4421-4433. https://doi.org/10.1016/j.ins.2008.07.031
Cano De Amo, J. R., García López, S., & Herrera Triguero, F. (2008). Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters, 29, 2156-2164. https://doi.org/10.1016/j.patrec.2008.08.001
Luengo, J., García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2008). Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. 257-263. Mieres (Spain). (Original work published 2026)
del Jesus Díaz, M. J., González García, P., & Herrera Triguero, F. (2008). Subgroup Discovery with Linguistic Rules (H. Bustince, F. Herrera Triguero, & J. Montero, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-73723-0_21
Cano De Amo, J. R., Herrera Triguero, F., & Lozano, M. (2008). Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. (Original work published)
del Jesus Díaz, M. J., González García, P., & Herrera Triguero, F. (2008). Subgroup Discovery with Linguistic Rules (H. Bustince, F. Herrera Triguero, & J. Montero, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-73723-0_21
2007
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.
Alcalá, R., Gacto, M. J., Herrera Triguero, F., & Alcala-Fdez, J. (2007). A Multi-objectiveGenetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15, 539-557. https://doi.org/10.1142/S0218488507004868
García, J. J. A., Chica, M., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems. 1-6. https://doi.org/10.1109/FUZZY.2007.4295638 (Original work published 2026)