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Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Part of the book series: Studies in Computational Intelligence ((SCI,volume 257))

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Abstract

In this paper we describe the application of a Simple ACO (S-ACO) as a method of optimization for 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.

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© 2009 Springer-Verlag Berlin Heidelberg

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Martínez-Marroquín, R., Castillo, O., Soria, J. (2009). Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04514-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-04514-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04513-4

  • Online ISBN: 978-3-642-04514-1

  • eBook Packages: EngineeringEngineering (R0)

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