Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.82-85
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- 2003
Co-evolution of Fuzzy Controller for the Mobile Robot Control
- Byun, Kwang-Sub (School of Electrical and Electronics Engineering, Chung-Ang University) ;
- Park, Chang-Hyun (School of Electrical and Electronics Engineering, Chung-Ang University) ;
- Sim, Kwee-Bo (School of Electrical and Electronics Engineering, Chung-Ang University)
- Published : 2003.09.01
Abstract
In this paper, in order to deduce the deep structure of a set of fuzzy rules from the surface structure, we use co-evolutionary algorithm based on modified Nash GA. This algorithm coevolves membership functions in antecedents and parameters in consequents of fuzzy rules. We demonstrate this co-evolutionary algorithm and apply to the mobile robot control. From the result of simulation, we compare modified Nash GA with the other co-evolution algorithms and verify the efficacy of this algorithm through application to fuzzy systems.
Keywords