A fuzzy optimization control strategy based on the property of distributed parameters is presented.Both the error of furnace temperature and its changing rates at different segments of the reheating furnace are used as the input of fuzzy logic

so that a group of 2-dimension fuzzy controller is designed with respect to every furnace temperature adjustment point.According to the features of two operative statuses

which are rising temperature segment and maintaining temperature segment

the fuzzy control rules are designed respectively.Based on the variable universe theory

an adaptive mutation differential evolution algorithm

in which the dynamic fitness function is constructed and the mutation probability is adaptively regulated according to the evolved generations

is applied to optimize the fuzzy controllers.The running results show that

the method proposed in this paper is good at controlling the temperature of titanium slab furnace.