DocumentCode
3598271
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
Volume
3
fYear
2002
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7437-1
Type
conf
DOI
10.1109/ICSMC.2002.1176048
Filename
1176048
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