Title :
An intelligent control system based on multiobjective genetic algorithms and fuzzy neural network
Author :
Chen, Liang-Hsuan ; Chiang, Cheng-Hsiung
Author_Institution :
Dept. of Ind. Manage. Sci., Nat. Cheng Kung Univ., Taiwan
Abstract :
A novel approach to intelligent control systems is proposed. It has three main functions: the fuzzy neural network controller, the performance evaluator, and the decision maker, which is to explore new actions to enhance control performance. The multiobjective genetic algorithm is presented to implement the adaptive mechanism to explore the new actions. The simulation results of robotic path planning showed the robot could reach the target point without collisions in various environments.
Keywords :
decision making; fuzzy neural nets; genetic algorithms; intelligent control; path planning; decision maker; fuzzy neural network; fuzzy neural network controller; intelligent control; multiobjective genetic algorithm; path planning; performance evaluator; robotic path planning; Competitive intelligence; Computational and artificial intelligence; Fuzzy control; Fuzzy neural networks; Genetic algorithms; Intelligent control; Intelligent robots; Neural networks; Path planning; Robot sensing systems;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1176048
