采用自适应归一化实数编码遗传算法优化鱼眼镜头系统

针对遗传算法(GA)优化超多参量光学系统时鲁棒性 较差的问题,在混入逃逸函数实数编码GA(MERCGA)的基础上,进一步结合参量归一化和自适 应变异概率的措施,提出了自适应归一化 实数编码GA(ANRCGA)。用ANRCGA对鱼眼镜头光学系统案例进行优化设计,并应用 评价函 数和Zemax光线追迹方法对MERCGA和ANRCGA的优化结果作比较。结果表明,应用本文的ANRCG A 比引自专利的参考设计及MERCGA优化得到光学系统的成像质量有明显提高,算法的鲁棒 性和计算效率也到了改善。

Optimization of fisheye lens systems with adaptive and normalized real-coded genetic algorithm

For the issue of poor robustness of genetic algorithm (GA) in optimization o f optical systems with super-multiple parameters,an improved genetic algorithm is developed by incorp orating normalization of parameters and self-adaptive mutation probability into the real-coded genetic algorithm mixed with escape function (MERCGA).The discussed algorithm (ANRCGA) and MERCGA are applied to o ptimize a fisheye lens whose imaging performances resulting from the two algorithms are ev aluated by ray-tracing calculation with Zemax and evaluation function for comparison.The study shows t hat the former has better imaging performance than the latter as well as the reference design from the pa tent.The proposed algorithm has better robustness and calculation efficiency in optimization of optical syst ems.