The work aims to improve the pulping yield and reduce the pulping energy consumption, thus improving the production of corrugated paper and reducing the production energy consumption, under the premises of ensuring the pulping quality. Based on the analysis and establishment of the mathematical model for high consistency pulping process, in view of the multi-objective and nonlinear characteristics of such mathematical model, a new method of solving the multi-objective optimization problem with a simple and robust ACO (ant colony algorithm) was put forward. The results of Matlab simulation showed that ACO could quickly find the optimal solution that met the requirements of the production process when solving the multi-objective optimization problem of high consistency pulping process. The multi-objective optimization based on ACO not only improves the pulping yield of corrugated paper, but also reduces the energy consumption. Compared with the penalty function, the production target of high quality, high yield and low energy consumption is better realized.