Optimization of a Fuzzy Controller for an Autonomous Mobile Robot Using the Ant Colony Metaheuristic
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 . Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot .
KeywordsMembership Function Mobile Robot Fuzzy Controller Fuzzy Logic Controller Pheromone Trail
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