Abstract: In order to optimize the combination stacking of steel coils in bell-type batch annealing process,a mathematical model is proposed to minimize the number of steel coils stacks and the total heating treatment time.A two-stage intelligent optimization algorithm based on adaptive genetic algorithm and ant colony algorithm is constructed.The algorithm solves the problem with two steps:the number of steel coil stacks is optimized firstly,and secondly the total coil stack heating hours is optimized.A simulation experiment with practical production data shows that the proposed combination stacking method attains a good optimizing ability,and increases the stacking efficiency of the annealing process.