Jorge Casillas

Alicia D. Benítez, Jorge Casillas: Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems. Soft Comput. 17(1): 165-194 (2013)

Albert Orriols-Puig, Jorge Casillas: Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Comput. 15(12): 2389-2414 (2011)

Francisco Javier Marín, Jorge Casillas, Manuel Mucientes, Aksel Andreas Transeth, Sigurd Aksnes Fjerdingen, Ingrid Schjølberg: Learning Intelligent Controllers for Path-Following Skills on Snake-Like Robots. ICIRA (2) 2011: 525-535

Jorge Casillas, Francisco J. Martínez-López (Eds.): Marketing Intelligent Systems Using Soft Computing - Managerial and Research Applications. Studies in Fuzziness and Soft Computing 258, Springer 2010, isbn 978-3-642-15605-2

Manuel Mucientes, Jesús Alcalá-Fdez, Rafael Alcalá, Jorge Casillas: A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Syst. Appl. 37(2): 1471-1493 (2010)

Michel González, Jorge Casillas, Carlos Morell: SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System. HAIS (2) 2010: 1-8

Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi, Jorge Casillas: An adaptive vehicle guidance system instigated from ant colony behavior. SMC 2010: 2948-2955

Albert Orriols-Puig, Jorge Casillas, Francisco J. Martínez-López: Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules. Marketing Intelligent Systems Using Soft Computing 2010: 181-206

Jorge Casillas, Francisco J. Martínez-López: Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling. Expert Syst. Appl. 36(2): 1645-1659 (2009)

Luciano Sánchez, Inés Couso, Jorge Casillas: Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets and Systems 160(17): 2524-2552 (2009)

Manuel Mucientes, Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas: Learning weighted linguistic rules to control an autonomous robot. Int. J. Intell. Syst. 24(3): 226-251 (2009)

Jorge Casillas, Brian Carse: Special issue on "Genetic Fuzzy Systems: Recent Developments and Future Directions". Soft Comput. 13(5): 417-418 (2009)

Jorge Casillas, Pedro Martínez, Alicia D. Benítez: Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems. Soft Comput. 13(5): 451-465 (2009)

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. IEEE Trans. Evolutionary Computation 13(2): 260-283 (2009)

Jorge Casillas: Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions. IFSA/EUSFLAT Conf. 2009: 1631-1636

Alicia D. Benítez, Jorge Casillas: Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. IFSA/EUSFLAT Conf. 2009: 1751-1756

Jorge Casillas: Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems. FUZZ-IEEE 2009: 1712-1717

Albert Orriols-Puig, Jorge Casillas: Evolution of Interesting Association Rules Online with Learning Classifier Systems. IWLCS 2009: 21-37

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Genetic-based machine learning systems are competitive for pattern recognition. Evolutionary Intelligence 1(3): 209-232 (2008)

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: First approach toward on-line evolution of association rules with learning classifier systems. GECCO (Companion) 2008: 2031-2038

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS 2008: 722-729

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: A Comparative Study of Several Genetic-Based Supervised Learning Systems. Learning Classifier Systems in Data Mining 2008: 205-230

Jorge Casillas, Francisco J. Martínez-López: KDD in Marketing with Genetic Fuzzy Systems. Soft Computing for Knowledge Discovery and Data Mining 2008: 225-239

Jorge Casillas, Francisco Herrera, R. Pérez, María José del Jesús, Pedro Villar: Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. Int. J. Approx. Reasoning 44(1): 1-3 (2007)

Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera: Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. Int. J. Intell. Syst. 22(9): 909-941 (2007)

Jorge Casillas, Brian Carse, Larry Bull: Fuzzy-XCS: A Michigan Genetic Fuzzy System. IEEE T. Fuzzy Systems 15(4): 536-550 (2007)

Manuel Mucientes, Jorge Casillas: Quick Design of Fuzzy Controllers With Good Interpretability in Mobile Robotics. IEEE T. Fuzzy Systems 15(4): 636-651 (2007)

Jorge Casillas, Pedro Martínez: Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm. FUZZ-IEEE 2007: 1-6

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Fuzzy-UCS: preliminary results. GECCO (Companion) 2007: 2871-2874

Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla: Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS 2007: 57-76

Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera: Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput. 10(9): 717-734 (2006)

Alicia D. Benítez, Jorge Casillas: Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model. ICNC (1) 2006: 796-805

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Antonio González, Francisco Herrera: A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Eng. Appl. of AI 18(3): 279-296 (2005)

Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera: Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. Int. J. Intell. Syst. 20(4): 433-452 (2005)

Jorge Casillas, Oscar Cordón, María José del Jesús, Francisco Herrera: Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE T. Fuzzy Systems 13(1): 13-29 (2005)

Jorge Casillas, Oscar Delgado, Francisco J. Martínez-López: Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models. EUSFLAT Conf. 2005: 272-278

Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez: Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Appl. Intell. 18(2): 155-177 (2003)

Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera: Genetic learning of accurate TS models based on local fuzzy prototyping. EUSFLAT Conf. 2003: 105-108

Luciano Sánchez, Jorge Casillas, Oscar Cordón, María José del Jesús: Some relationships between fuzzy and random set-based classifiers and models. Int. J. Approx. Reasoning 29(2): 175-213 (2002)

Jorge Casillas, Oscar Cordón, Francisco Herrera: COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(4): 526-537 (2002)

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. IBERAMIA 2002: 294-302

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir: Hybridizing Hierarchical and Weighted Linguistic Rules. SAC 2002: 812-816

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. Inf. Sci. 136(1-4): 135-157 (2001)

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. Journal of Intelligent and Fuzzy Systems 11(3-4): 99-119 (2001)

Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan J. Merelo Guervós: Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution 2001: 311-322

Jorge Casillas, Oscar Cordón, Francisco Herrera: A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. EUSFLAT Conf. 2001: 118-121

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. EUSFLAT Conf. 2001: 237-240

Rafael Alcalá, Jorge Casillas, Antonio González: Tuning fuzzy logic controllers for energy efficiency consumption in buildings. EUSFLAT-ESTYLF Joint Conf. 1999: 103-106