OPTIMAL MEANS BASED ON IMMUNE GENETIC ALGORITHMS FOR ROLLING PARAMETERS OF TANDEM COLD STRIP MILL

Strip gauge and shape are the two main quality targets of strip products. This paper adopt intelligent optimization method-Immune GA to optimize rolling parameters at cold tandem process whose objective function is the shape and gauge. With the example, the effectiveness of the method is proved and good results obtained. This method also provides another way for optimization design of the rolling schedule of cold continuous rolling mill.