A STEEL COIL MERGING METHOD BASED ON PARTHENO-GENETIC ALGORITHM AND ITS APPLICATION

The effectiveness of steel coil merging in cold rolling production makes a great influence on the efficiency of whole rolling line. This optimized process is considered as a complicated combinatorial problem that can hardly be solved with general mathematic programming because of its complexity. A steel coil merging model is established and a modified partheno-genetic algorithm to solve this model is proposed in this paper. The experiments with real production data show that the presented model and algorithm improve the merging ratio effectively and enhance the intelligent level of cold rolling production planning. The software system based on this method has been successfully applied to a cold rolling plant of Shanghai Baosteel for about one year.