Optimization of a Fuzzy Controller for an Autonomous Mobile Robot Using the Ant Colony Metaheuristic

Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 272)

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].

Keywords

Membership Function Mobile Robot Fuzzy Controller Fuzzy Logic Controller Pheromone Trail 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Computer ScienceTijuana Institute of TechnologyChula VistaUSA

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