DocumentCode
389271
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
Volume
2
fYear
2002
fDate
2002
Firstpage
747
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1174478
Filename
1174478
Link To Document