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Evolutionary design of fuzzy logic controllers using strongly-typed GP
| dc.contributor.author | Alba Torres, Enrique |
| dc.contributor.author | Cotta Porras, Carlos |
| dc.contributor.author | Troya Linero, José María |
| dc.date.accessioned | 2007-09-25T10:02:05Z |
| dc.date.available | 2007-09-25T10:02:05Z |
| dc.date.issued | 1999 |
| dc.identifier.issn | 1134-5632 |
| dc.identifier.uri | http://hdl.handle.net/2099/3547 |
| dc.description.abstract | An evolutionary approach to the design of fuzzy logic controllers is presented in this paper. We propose the use of the genetic programming paradigm to evolve fuzzy rule-bases (internally represented as type-constrained syntactic trees). This model has been applied to the cart-centering problem, although it can be readily extended to other problems. The obtained results show that a good parameterization of the algorithm, and an appropriate evaluation function, can lead to near-optimal solutions. |
| dc.format.extent | 109-124 |
| dc.language.iso | eng |
| dc.publisher | Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica |
| dc.relation.ispartof | Mathware & soft computing . 1999 Vol. 6 Núm. 1 |
| dc.rights | Reconeixement-NoComercial-CompartirIgual 3.0 Espanya |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject.other | Genetic programming |
| dc.subject.other | Type system |
| dc.subject.other | Fuzzy logic controller |
| dc.subject.other | Cart--Centering problem |
| dc.title | Evolutionary design of fuzzy logic controllers using strongly-typed GP |
| dc.type | Article |
| dc.subject.lemac | Intel·ligència artificial |
| dc.subject.ams | Classificació AMS::68 Computer science::68T Artificial intelligence |
| dc.rights.access | Open Access |
