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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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
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