用粒子群算法校正三片镜系统的像差（特邀）

提出将粒子群算法用于三片镜光学系统的优化设计。设计了关于曲率半径、透镜面之间的距离、玻璃折射率、系统长度等光学系统结构参数的光学评价函数,用此函数作为粒子群算法中的适应度函数,实现了对光学系统的自动寻优。给出了用粒子群算法进行三片镜光学系统设计过程实例,结果证明：用粒子群算法可以设计出球差、子午场曲、子午光线弥散值都很小的三片镜光学系统;并且用该算法进行光学设计不需要知道系统具体的初始结构,克服了现有光学设计软件高度依赖具体初始结构的缺点,可以自由控制结构参数的搜索范围,从而提高光学系统设计的智能化程度。

Correction of aberration for three-lens system by particle swarm optimization algorithm(Invited)

Particle Swarm Optimization(PSO) technique is applied to design a three-lens system in this paper. Merit functions in an optical system are employed as fitness functions, which include the structure parameters of radiuses of curvature, the distances between lens surfaces, refractive indices, the total length of a system and so on. An automatic searching for the optimal design by using these functions is carried out. The results show that the three-lens optical system with small spherical aberrations, meridional field curvatures, dispersions of meridional rays can be designed by using PSO algorithms. Not depending on the definite initial structure of the system, the optical design using PSO algorithms can overcome the shortcomings of modern optical design software which highly depends on an initial structure input by the user. It can create arbitrarily search ranges of structure parameters, and is an important step towards automatic design with artificial intelligence.