Coal Mine Mining Subsidence Prediction Based on Parameter Adaptive Differential Evolution Algorithm

We study the feasibility of parameter inversion experiment of numerical model based on parameter adaptive differential evolution algorithm by simulation experiment. On this basis, we carry out mining subsidence prediction combined with engineering examples. Results show that using the parameter adaptive differential evolution algorithm to carry out parameter inversion can improve the efficiency and convergence rate of parameter inversion; in the short term, using differential techniques to control error of numerical model can improve coal mining subsidence prediction accuracy.