Abstract: A new method for optimizing the scheduling of cold continuous rolling mills is proposed by means of the Immune Genetic Algorithm and BP networks. The method has many advantages such as stonger learning function, higher computational accuracy, and being convenient for use and suitable for on-line calculation. With a example, the effectiveness of the method is proved.