Novel computer-aided alignment method of optical systems based on genetic algorithm

The essence of computer-aided alignment (CAA) is to find a solution to the inverse problem of a designed optical system. A novel method to solve the misalignments of optical systems based on genetic algorithm (GA) is proposed in this paper. The method of real-coding and multi-operators parallel style is used to improve the precision of result and to maintain the variety of population. The hybrid algorithm that incorporated GA with DLS (damped-least-squares method) are used to invert CAA model. The solution obtained by GA is a starting point for DLS . The results of numerical simulation prove that this method significantly improves the accuracy of the solution and accelerates the convergence to global optimum, and behaves with strong robustness and reliability.