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http://dx.doi.org/10.5302/J.ICROS.2004.10.11.1071

Design of Fuzzy Controller Using Parasitic Co-evolutionary Algorithm  

심귀보 (중앙대학교 전자전기공학부)
변광섭 (중앙대학교 전자전기공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.10, no.11, 2004 , pp. 1071-1076 More about this Journal
Abstract
It is a fuzzy controller that it is the most used method in the control of non-linear system. The most important part in the fuzzy controller is a design of fuzzy rules. Many algorithm that design fuzzy rules have proposed. And attention to the evolutionary computation is increasing in the recent days. Among them, the co-evolutionary algorithm is used in the design of optimal fuzzy rule. This paper takes advantage of a schema co-evolutionary algorithm. In order to verify the efficiency of the schema co-evolutionary algorithm, a fuzzy controller for the mobile robot control is designed by the schema co-evolutionary algorithm and it is compared with other parasitic co-evolutionary algorithm such as a virus-evolutionary genetic algorithm and a co-evolutionary method of Handa.
Keywords
design of fuzzy controller; schema co-evolutionary algorithm; co-evolutionary method of Handa; virus-evolutionary;
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