Abstract: A differential evolution algorithm based on multi-swarm and sub-objective optimization is presented in order to solve the difficulty in selecting the weighting coefficients in processing the objective function of hot strip mills.Each sub-swarm optimizes a sub-objective and evolves independently.This not only solves the issue of weighting coefficients,but also increases the convergence speed and accuracy.Finally,the algorithm's effectiveness is verified by simulation.