| A taxonomy for the crossover operator for real‐coded genetic algorithms: An experimental study F Herrera, M Lozano, AM Sánchez International Journal of Intelligent Systems 18 (3), 309-338, 2003 | 521 | 2003 |
| Global and local real-coded genetic algorithms based on parent-centric crossover operators C García-Martínez, M Lozano, F Herrera, D Molina, AM Sánchez European journal of operational research 185 (3), 1088-1113, 2008 | 310 | 2008 |
| Hybrid crossover operators for real-coded genetic algorithms: an experimental study F Herrera, M Lozano, AM Sánchez Soft Computing 9, 280-298, 2005 | 187 | 2005 |
| Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains D Molina, M Lozano, AM Sánchez, F Herrera Soft Computing 15, 2201-2220, 2011 | 119 | 2011 |
| A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets R Montes, AM Sánchez, P Villar, F Herrera Applied Soft Computing 35, 949-957, 2015 | 77 | 2015 |
| Multiple crossover per couple with selection of the two best offspring: an experimental study with the BLX-α crossover operator for real-coded genetic algorithms F Herrera, M Lozano, E Pérez, AM Sánchez, P Villar Advances in Artificial Intelligence—IBERAMIA 2002: 8th Ibero-American …, 2002 | 39 | 2002 |
| Hybrid crossover operators with multiple descendents for real‐coded genetic algorithms: Combining neighborhood‐based crossover operators AM Sánchez, M Lozano, P Villar, F Herrera International Journal of Intelligent Systems 24 (5), 540-567, 2009 | 27 | 2009 |
| Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust R Montes, AM Sanchez, P Villar, F Herrera Applied Soft Computing 67, 941-952, 2018 | 23 | 2018 |
| Fuzzy-Citation-KNN: a fuzzy nearest neighbor approach for multi-instance classification P Villar, R Montes, AM Sánchez, F Herrera 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 946-952, 2016 | 11 | 2016 |
| A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters JL Aznarte, D Molina, AM Sánchez, JM Benítez Applied Intelligence 34 (3), 386-393, 2011 | 10 | 2011 |
| Real‐parameter crossover operators with multiple descendents: An experimental study AM Sánchez, M Lozano, C García‐Martínez, D Molina, F Herrera International Journal of Intelligent Systems 23 (2), 246-268, 2008 | 10 | 2008 |
| A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems O Cordón, F Herrera, J De La Montaña, AM Sánchez, P Villar Advances in Artificial Intelligence—IBERAMIA 2002: 8th Ibero-American …, 2002 | 10 | 2002 |
| A decision making model to evaluate the reputation in social networks using HFLTS R Montes, AM Sanchez, P Villar, F Herrera 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 9 | 2017 |
| Chromosome differentiation for the application of parent-centric real-parameter crossover operators C Garcia-Martinez, M Lozano, D Molina, AM Sanchez Relatório técnico, University of Granada, Spain, 2005 | 9 | 2005 |
| Base de datos de abejas ibéricas I Bartomeus, JB Lanuza, TJ Wood, L Carvalheiro, FP Molina, MÁ Collado, ... Ecosistemas 31 (3), 2380-2380, 2022 | 8 | 2022 |
| A multiobjective genetic algorithm for feature selection and data base learning in fuzzy-rule based classification systems O Cordón, F Herrera, MJ Del Jesus, L Magdalena, AM Sánchez, P Villar Intelligent Systems for Information Processing, 315-326, 2003 | 7 | 2003 |
| Structural performance of a medieval stone masonry arch bridge DV Oliveira, R Allahvirdizadeh, A Sánchez, B Riveiro, N Mendes, ... 1st IABSE Online Symposium Wroclaw 2020: Synergy of Culture and Civil …, 2020 | 4 | 2020 |
| Designing a compact genetic fuzzy rule-based system for one-class classification P Villar, B Krawczyk, AM Sánchez, R Montes, F Herrera 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2163-2170, 2014 | 4 | 2014 |
| Algoritmos Genéticos con Codificación Real: Operadores de Cruce Híbridos Basados en Entornos con Múltiples Descendientes F Herrera, M Lozano, AM Sánchez Actas del Congreso MAEB 7, 827-834, 2007 | 4 | 2007 |
| Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level P Villar, A Fernández, R Montes, AM Sánchez, F Herreraz 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2015 | 3 | 2015 |
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainAdresse e-mail validée de decsai.ugr.es