Abstract: Based on the conservation of matter and energy in blast furnace iron-making process and the multi-objective optimization method, a mathematical model was developed with the energy consumption, cost and CO2 emission taken as objectives, and it was applied to the No.1 blast furnace in a certain iron and steel complex. By programming and comparing the optimized results with the real data obtained from production, the model was verified correct. The optimization results showed that all the energy consumption, production cost and CO2 emission decreased to the different degrees. Meanwhile, the effects of such factors as coke ratio, coal ratio and sinter grade on the blast furnace iron-making process were analyzed by the model, and some measures are suggested to take for energy saving, cost decreasing and emission reducing.