An Optimization Method of Slab Location Decision Model Based on Hot Charge Rolling

According to the need of today's steel industry for HCR(hot charge rolling) slab yard entry management,a slab location decision model is presented.The model is based on the collaborative optimization of casting and rolling plans and is subject to the limited slab yard storage and the rules of HCR pile position selection.It is a general optimal operation for the HCR slab batch needing to enter the slab yard,and can quickly optimize the pile position of each slab and the casting sequence of the slab batch.A genetic simulated annealing algorithm(GSA) is applied to the model.The algorithm makes full use of the excellent global searching ability of genetic algorithm(GA),and takes the advantage of simulated annealing algorithm(SA) which can efficiently avoid local minimum.The proposed model and algorithm have been used to solve the practical problems,and the results show they are feasible and effective,providing an effective solution for the selection of optimal pile position for each HCR slab.