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Título
Genetic learning of fuzzy reactive controllers
Autor
Facultad/Centro
Área de conocimiento
Datos de la obra
Robotics and Autonomous Systems, 1998, vol. 25, n. 1-2
Editor
Elsevier
Fecha
1998-10-26
Résumé
This paper concerns the learning of basic behaviors in an autonomous robot. It presents a method to adapt basic reactive
behaviors using a genetic algorithm. Behaviors are implemented as fuzzy controllers and the genetic algorithm is used to
evolve their rules. These rules will be formulated in a fuzzy way using prefixed linguistic labels. In order to test the rules
obtained in each generation of the genetic evolution process, a real robot has been used. Numerical results from the evolution
rate of the different experiments, as well as an example of the fuzzy rules obtained, are presented and discussed
Materia
Palabras clave
Peer review
SI
URI
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