Genetic reinforcement learning through symbiotic evolution for fuzzy controller design
An efficient genetic reinforcement learning algorithm for designing fuzzy controllers is proposed in this paper. The genetic algorithm (GA) adopted in this paper is based upon symbiotic evolution which, when applied to fuzzy controller design, complements the local mapping property of a fuzzy rule....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 30(2000), 2 vom: 15., Seite 290-302
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| 1. Verfasser: |
Juang, C F
(VerfasserIn) |
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| Weitere Verfasser: |
Lin, J Y,
Lin, C T |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2000
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article |
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