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http://dx.doi.org/10.5391/JKIIS.2005.15.4.451

The Navigation Control for Intelligent Robot Using Genetic Algorithms  

Joo, Young-Hoon (군산대학교 전자정보공학부)
Cho, Sang-Kyun (군산대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.4, 2005 , pp. 451-456 More about this Journal
Abstract
In this paper, we propose the navigation control method for intelligent robot using messy genetic algorithm. The fuzzy controller design for navigation of the intelligent robot was dependant on expert's knowledge. But, the parameters of the fuzzy logic controller obtained from expert's control action may not be outimal. In this paper, to solve the above problem, we propose the identification method to automatically tune the number of fuzzy rule and parameters of memberships of fuzzy controller using mGA. Finally, to show and evaluate the generality and feasibility of the proposed method, we provides some simulations for wall following navigation of intelligent robot.
Keywords
Intelligent robot; messy genetic algorithm(mGA); fuzzy theory; navigation control;
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