dc.contributor | Escuela de Ingenierias Industrial e Informatica | es_ES |
dc.contributor.author | Matellán Olivera, Vicente | |
dc.contributor.author | Fernández Llamas, Camino | |
dc.contributor.other | Arquitectura y Tecnologia de Computadores | es_ES |
dc.date | 1998-10-26 | |
dc.date.accessioned | 2012-11-09T10:58:35Z | |
dc.date.available | 2012-11-09T10:58:35Z | |
dc.date.issued | 2012-11-09 | |
dc.identifier.citation | Robotics and Autonomous Systems, 1998, vol. 25, n. 1-2 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10612/1988 | |
dc.description | P. 33-41 | es_ES |
dc.description.abstract | 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 | es_ES |
dc.language | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.subject | Informática | es_ES |
dc.subject.other | Robots autónomos | es_ES |
dc.subject.other | Fuzzy | es_ES |
dc.subject.other | Algoritmos genéticos | es_ES |
dc.subject.other | Búsqueda | es_ES |
dc.title | Genetic learning of fuzzy reactive controllers | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.peerreviewed | SI | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |