A genetic algorithm-based approach is presented for process optimal design in metal forming. The approach, which utilizes two objective functions, can deliver the process designer a spectrum of optimal designs, rather than a single optimal design. The validity of the proposed approach is demonstrated through application to pass schedule optimal design in cold rolling of silicon steel strips.
