Abstract
In this chapter 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 [15]. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot [48].
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© 2012 Springer-Verlag Berlin Heidelberg
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Castillo, O. (2012). Optimization of a Fuzzy Controller for an Autonomous Mobile Robot Using the Ant Colony Metaheuristic. In: Type-2 Fuzzy Logic in Intelligent Control Applications. Studies in Fuzziness and Soft Computing, vol 272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24663-0_10
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DOI: https://doi.org/10.1007/978-3-642-24663-0_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24662-3
Online ISBN: 978-3-642-24663-0
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