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.
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