Differential evolution algorithm for hot rolling process optimization

In this paper, we design a nonlinear model for hot rolling process optimization which takes minimizing energy consumption and getting good shape as the objective function. Differential evolution (DE) algorithm is a useful algorithm for solving nonlinear optimization problem. The conventional DE algorithm is easy to get into local optimization, so we propose an improved DE algorithm by adjusting the mutation factor and crossover rate for solve the process optimization problem. The experiment results prove that the improved DE algorithm is efficient.