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Jorge Casillas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan J. Merelo Guervós
    Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2001, pp:311-322 [Conf]
  2. Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
    Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:294-302 [Conf]
  3. Alicia D. Benítez, Jorge Casillas
    Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2006, pp:796-805 [Conf]
  4. Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir
    Hybridizing Hierarchical and Weighted Linguistic Rules. [Citation Graph (0, 0)][DBLP]
    SAC, 2002, pp:812-816 [Conf]
  5. Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez
    Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:2, pp:155-177 [Journal]
  6. Luciano Sánchez, Jorge Casillas, Oscar Cordón, María José del Jesús
    Some relationships between fuzzy and random set-based classifiers and models. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:29, n:2, pp:175-213 [Journal]
  7. Jorge Casillas, Francisco Herrera, R. Pérez, María José del Jesús, Pedro Villar
    Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:1, pp:1-3 [Journal]
  8. Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera
    Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:4, pp:433-452 [Journal]
  9. 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. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:136, n:1-4, pp:135-157 [Journal]
  10. Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
    Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2001, v:11, n:3-4, pp:99-119 [Journal]
  11. Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera
    Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:9, pp:717-734 [Journal]
  12. 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. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2005, v:13, n:1, pp:13-29 [Journal]
  13. Jorge Casillas, Oscar Cordón, Francisco Herrera
    COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:4, pp:526-537 [Journal]
  14. Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
    Fuzzy-UCS: preliminary results. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2871-2874 [Conf]

  15. Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm. [Citation Graph (, )][DBLP]


  16. First approach toward on-line evolution of association rules with learning classifier systems. [Citation Graph (, )][DBLP]


  17. Evolving Fuzzy Rules with UCS: Preliminary Results. [Citation Graph (, )][DBLP]


  18. Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models. [Citation Graph (, )][DBLP]


  19. Genetic learning of accurate TS models based on local fuzzy prototyping. [Citation Graph (, )][DBLP]


  20. A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. [Citation Graph (, )][DBLP]


  21. Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. [Citation Graph (, )][DBLP]


  22. Tuning fuzzy logic controllers for energy efficiency consumption in buildings. [Citation Graph (, )][DBLP]


  23. Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions. [Citation Graph (, )][DBLP]


  24. Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. [Citation Graph (, )][DBLP]


  25. Approximate Versus Linguistic Representation in Fuzzy-UCS. [Citation Graph (, )][DBLP]


  26. SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System. [Citation Graph (, )][DBLP]


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