Abstract

This paper describes the use of a numerical optimization method based on an evolutionary local search algorithm for obtaining the wavefront aberration from a real interferogram. By finding the near-optimal solution to an optimization problem, this method calculates the Zernike polynomials expansion coefficients from an experimental interferogram, showing the validity for the reconstruction of the wavefront aberrations. The proposed method incorporates the advantages of both an Evolution Strategy (ES) and Locally Weighted Linear Regression (LWLR) in order to minimize an objective function while avoiding premature convergence to a non-optimal solution. The evolutionary local search algorithm was tested against the evolutionary algorithm based on ES, and the illustrative numerical examples show that the proposed algorithm yields a more accurate solution than the ES.

© 2017 Optical Society of America