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Optimal Design of a 2-Layer Fuzzy ControllerUsing the Schema Co-Evolutionary Algorithm
- Issue Date
- 2004
- Publisher
- 한국지능시스템학회
- Keywords
- Fuzzy control; Genetic algorithms; Robotics; 2-layer fuzzy controller; Schema co-evolutionary algorithm
- Citation
- International Journal of Fuzzy Logic and Intelligent systems, v.4, no.3, pp 341 - 346
- Pages
- 6
- Journal Title
- International Journal of Fuzzy Logic and Intelligent systems
- Volume
- 4
- Number
- 3
- Start Page
- 341
- End Page
- 346
- ISSN
- 1598-2645
- Abstract
- Nowadays, versatile robots are developed around the world. Novel algorithms are needed for controlling such robots. A 2-Layer fuzzy controller can deal with many inputs as well as many outputs, and its overall structure is much simpler than that of a general fuzzy controller. The main problem encountered in fuzzy control is the design of the fuzzy controller. In this paper, the fuzzy controller is designed by the schema co-evolutionary algorithm. This algorithm can quickly and easily find a global solution. Therefore, the schema co-evolutionary algorithm is used to design a 2-layer fuzzy controller in this study. We apply it to a mobile robot and verify the efficacy of the 2-layer fuzzy controller and the schema co-evolutionary algorithm through the experiments.
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