In nonferrous metallurgical processes, due to the variety of raw materials, changing working conditions and the unstable material quality, there are a lot of uncertainties, which seriously affect the stability and reliability of the smelting production.In this paper, the description method of the optimization problems under different types of uncertainties are summarized, including the probability uncertain optimization problems, the fuzzy uncertain optimization problems, and the interval uncertain optimization problems.Based on the characteristics and requirements of actual industrial processes, the uncertain optimization methods of some typical nonferrous metallurgical processes are presented.In the optimization problem under probability uncertainty for blending process of alumina production, the method based on Hammersley sequence sampling(HSS) is used to transform the uncertain model to a deterministic model.In the optimization problem under fuzzy uncertainty for the copper removal process of zinc hydrometallurgy, the method based on fuzzy rules is used to estimate the process conditions.In the optimization problem under interval uncertainty for the power-dispatching control system in the electrochemical process of zinc, min-max based method is used to search for robust solution.Industrial results verify the effectiveness of these methods.