To ensure the best operation condition of the storage bunker ball mill, we must make its load, temperature, and its inlet negative pressure be closed to the best value. The traditional fuzzy control of storage bunker ball mill is used widely now, but it is very difficult to guarantee the system run in the best condition if the control totally accord to the expert experience. Therefore this passage adopts the genetic algorithm to optimize membership function of the fuzzy control to control the operation of the system. This way can avoid the subjectivity of membership function depending on expert experience.