Now showing items 1-4 of 4

  • A multi-agent system based on fuzzy logic applied to RoboCup's enviroment 

    Aguirre Molina, Eugenio; Gámez, Juan Carlos; González Muñoz, Antonio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2001)
    Article
    Open Access
    Artificial Intelligent has been applied successfully to many and varied domains. In particular, the recent steps forward which are been producing in the development of dynamic, collaborative, real time and adversarial ...
  • A multicriteria genetic tuning for fuzzy logic controllers 

    Alcalá Fernández, Rafael; Casillas Barranquero, Jorge; Castro Peña, Juan Luis; González Muñoz, Antonio; Herrera Triguero, Francisco (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2001)
    Article
    Open Access
    This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers in multicriteria complex problems. This tuning approach has some specific restrictions that make it very particular and ...
  • Multi-stage genetic fuzzy systems based on the iterative rule learning approach 

    González Muñoz, Antonio; Herrera Triguero, Francisco (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1997)
    Article
    Open Access
    Genetic algorithms (GAs) represent a class of adaptive search techniques inspired by natural evolution mechanisms. The search properties of GAs make them suitable to be used in machine learning processes and for developing ...
  • Refinement of a fuzzy control rule set 

    González Muñoz, Antonio; Pérez Rodríguez, Raúl (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Article
    Open Access
    Fuzzy logic controller performance depends on the fuzzy control rule set. This set can be obtained either by an expert or from a learning algorithm through a set of examples. Recently, we have developed SLAVE an ...