Genetic optimization of interval type-2 fuzzy reactive controllers for mobile robots
Abraham Meléndez, Oscar Castillo, Patricia Melín · 2013
This paper describes an evolutionary genetic algorithm approach for the optimization of a fuzzy reactive controller applied to an autonomous mobile robot. The algorithm will optimize the Fuzzy Inference System evaluating the performance of each individual with a Neuro-Fuzzy fitness function that considers the robots covered distance, time used, battery life and the pattern of the trajectory.