Flatness Error Evaluation Based on Marine Predator Algorithm

In order to realize the accurate and efficient evaluation of flatness error, this paper uses Marine predator algorithm (MPA) to calculate the flatness error. Aiming at the characteristics of solving the flatness error of the minimum inclusive region method, the MPA algorithm can effectively reduce the calculation time, improve the accuracy and calculation speed. Combined with the measured data, compared with the least square method, particle swarm optimization algorithm and genetic algorithm, MPA algorithm has a smaller flatness error and a faster convergence rate, indicating that MPA algorithm is superior to other algorithms in accuracy and speed.