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Parameter tuning of membership functions of a fuzzy logic controller for an autonomous wheeled mobile robot using ant colony optimization | IEEE Conference Publication | IEEE Xplore

Parameter tuning of membership functions of a fuzzy logic controller for an autonomous wheeled mobile robot using ant colony optimization


Abstract:

In this paper we describe the application of a Simple ACO (S-ACO) as a method of optimization for the membership functions' parameters of a fuzzy logic controller (FLC) i...Show More

Abstract:

In this paper we describe the application of a Simple ACO (S-ACO) as a method of optimization for the membership functions' parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an autonomous wheeled mobile robot. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot.
Date of Conference: 20-24 August 2009
Date Added to IEEE Xplore: 02 October 2009
ISBN Information:
Print ISSN: 1098-7584
Conference Location: Jeju, Korea (South)

References

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