TY - JOUR
T1 - An intelligent control system based on multiobjective genetic algorithms and fuzzy neural network
AU - Chen, Liang Hsuan
AU - Chiang, Cheng Hsiung
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
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M3 - Conference article
AN - SCOPUS:0038684501
SN - 0884-3627
VL - 3
SP - 262
EP - 267
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
T2 - 2002 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 6 October 2002 through 9 October 2002
ER -