Optimal Design of a 2-Layer Fuzzy Controller Using the Schema Co-Evolutionary Algorithm | Zendy

Kwang-Sub Byun | Zendy; Kwee-Bo Sim | Zendy

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Optimal Design of a 2-Layer Fuzzy Controller Using the Schema Co-Evolutionary Algorithm

Author(s) -

Kwang-Sub Byun,

Kwee-Bo Sim

Publication year - 2004

Publication title -

international journal of fuzzy logic and intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.296

H-Index - 9

eISSN - 2093-744X

pISSN - 1598-2645

DOI - 10.5391/ijfis.2004.4.3.341

Subject(s) - fuzzy logic , computer science , fuzzy control system , schema (genetic algorithms) , fuzzy set operations , evolutionary algorithm , algorithm , control engineering , control theory (sociology) , artificial intelligence , control (management) , engineering , machine learning

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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