Modified dynamic data rectification with differential evolution

A modified dynamic data rectification model is proposed aiming at improving the efficiency of classical one which has the problem that when the variance of single measurement point random error distribution is larger than other points. Moreover, a new differential evolution (DE) algorithm is applied to solve a dynamic data rectification problem with the modified model. The promising results illustrate the efficiency of the proposed method and show that it could be used as a reliable tool for solving dynamic data rectification problems.