A novel method to correct the nonlinearity of piezoelectric scanner in STM by DNA evolution algorithm

In this paper, a new method based on DNA soft computation is put forward to correct the nonlinearity of piezoelectric scanner in STM. DNA soft computing, e.g. DNA evolution algorithm (abbr. DNA-EA), has been one of international researching hotspots in recent years. Based on the DNA-EA proposed by Dr. Ding Yongsheng, an elitist selection operation is employed to ensure the algorithm to converge uniformly and nature mutation to strengthen its ability of searching globally. As a demonstration, we show how to correct the nonlinearity of piezoelectric scanner in STM. The method has the advantage of being able to optimize the structure and parameters of nonlinear inverse model of piezoelectric scanner simultaneously. Finally, simulation results demonstrate that the method is effective.