Title :
Genetic algorithm with a Neuro-Fuzzy fitness function for optimal fuzzy controller design
Author :
Melendez, Abraham ; Castillo, Oscar
Author_Institution :
Dept. of Grad. Studies, Tijuana Inst. of Technol., Tijuana, Mexico
Abstract :
This paper describes an evolutionary algorithm approach for the optimization of a fuzzy reactive controller applied to a 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.
Keywords :
control system synthesis; fuzzy reasoning; genetic algorithms; mobile robots; neurocontrollers; optimal control; evolutionary algorithm; fuzzy inference system; fuzzy reactive controller; genetic algorithm; mobile robot; neuro-fuzzy fitness function; optimal fuzzy controller design; Fuzzy logic; Gallium; Mobile robots; Robot kinematics; Robot sensing systems; Trajectory; control; fuzzylogic; genetic algorithm; reactive;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
DOI :
10.1109/NAFIPS.2011.5752021
