Title :
A HGA based on the analysis of best value region and application to the fuzzy controller
Author :
Fang, Kang-Ling ; Gu, Hai-Chang ; Huang, Wei-Hua
Author_Institution :
Coll. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., China
Abstract :
A hybrid genetic algorithm (HGA) based on analysis of best value region, according to the concept of population Hamming-distance, is proposed. This HGA is applied to the optimization of the fuzzy controller in the temperature control of an industrial stove. The result of practical operation shows that the fuzzy control system with HGA has a better static and dynamic characteristics.
Keywords :
fuzzy control; genetic algorithms; heat systems; temperature control; best value region; dynamic characteristic; fuzzy controller; hybrid genetic algorithm; industrial stove; population Hamming-distance; static characteristic; temperature control; Biological cells; Evolution (biology); Fuzzy control; Genetic algorithms; Genetic mutations; Hybrid power systems; Industrial control; Information science; Mathematical model; Optimization methods;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174478
