共查询到16条相似文献,搜索用时 165 毫秒
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混入逃逸函数的实数编码遗传算法优化光学系统 总被引:2,自引:0,他引:2
为了得到超多参量光学系统的最佳设计,将标准遗传算法的二进制编码改为实数编码以提高算法的鲁棒性和计算效率,并在评价函数中混入逃逸函数避免优化过程陷入局部极值.用改进后的遗传算法和CODE V对鱼眼镜头光学系统和折反射全景成像系统的设计案例进行光学参量优化,并应用Zemax对两种优化结果进行光线追迹成像模拟.计算结果表明,应用改进遗传算法比混入逃逸函数的遗传算法或CODE V软件优化所得到光学系统的成像质量有明显提高,在优化超多参量光学系统时具有较为理想的鲁棒性和计算效率. 相似文献
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本文提出了有约束的内点惩罚函数-阻尼最小二乘法,并通过“内点罚函数-Powell法”与“内点罚函数-阻尼最小二乘法”相结合的新尝试,精密地确定出了声表面波谐振器的七个等效参数.计算结果比已经报道过的更加精确,表明本算法是精密确定SAWR等效参数的有效方法. 相似文献
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光学自动设计双优选阻尼最小二乘法 总被引:3,自引:0,他引:3
本文提出了象差极重匀化因子的概念,以解决阻尼最小二乘法光学自动设计中象差权重的自动给定和优化问题.象差极重匀化因子的自动调整还可使在优化过程中出现的价值函数局部极值自动脱出.本文对程序作了简要描述,还给出了计算实例. 相似文献
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本文提出一种见解,即在光学自动设计的适应法程序中运用阻尼最小二乘法的评价函数思想,以一个简洁的微机用程序将两种优化思想融合。提出一种实现这种构思的途径,达到了预期效果。 相似文献
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OCAD光学设计软件包 总被引:1,自引:1,他引:0
OCAD光学设计软件包是应用双优选阻尼最小二乘法为自动优化方法的多功能通用性光学设计CAD软件包,适用于IBM-PC/XT及其他兼容机。详细地介绍双优选阻尼最小二乘法的数学模型及自动优化方法,还介绍了软件包的基本功能及在软件包编制中几个具有特色的技巧和处理方法。 相似文献
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本文介绍一个实用多功能光学设计程序;提出在适应法程序中移植阻尼最小二乘法评价函数思想的观点,并创造一种新型优化指标实现了这种移值;对焦距缩放、光阑位置优化、节省几何光学传递函数(OTF)计算时间等提出了看法。 相似文献
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In designing lenses with the damped least squares method, the solution obtained by optimization routine is a local minimum of the merit function. To get out of this and seek a different solution, we propose to use an ‘escape function’ as an additional operand of the lens system, to be controlled. Experiments were made on simple models of merit function and the advantage of this technique was ascertained. We also planted this algorithm into OSLO SIX (lens design software by Sinclair Optics) by means of CCL (C-compatible language) and applied it to actual lens design. Experiments convinced us that the method would be an effective tool for global optimization. 相似文献
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Issues concerning the efficiency of the Global Explorer (GE) algorithm are studied. Global optimization with GE consists of many local optimization runs with or without the escape function using the damped-least-squares method. In order to improve the efficiency of the local optimization and the GE run, two search schemes are incorporated. The first one searches for the best damping factor which effectively determines the optimum direction of the solution vector in the multi-dimensional variable space, and the second search is conducted along that direction to find the optimum length of the solution vector. Experiments are also made to determine the optimum default values for the parameters of the escape function. The algorithm with the improvements is successfully implemented in the GOLD program developed by Beijing Institute of Technology. Design examples using the software are given, which show that the global optimization feature is practical and powerful. 相似文献
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Yi-Chin Fang Tung-Kuan Liu Bo-Wen Wu Jyh-Horng Chou John MacDonald 《Optics and Lasers in Engineering》2008,46(5):363-372
Following the development of a digitalized image optics system, chromatic aberration has become increasingly important especially in lateral color aberration. For rear projection television L-type lens, chromatic aberration plays the significant role because it is easily seen when facing bright screen. Basically, the elimination of axial chromatic and lateral color aberration for an optical lens depends on the choice of optical glass. DLS (damped least squares), a Ray-tracing-based method, is limited, owing to its inability to identify an enhanced optical system configuration. Genetic algorithms were applied to so-called global optimization but unfortunately so far the results show little success. Additionally, L-type optics with aspherical surface might complicate optimization due to being nonlinear response during optimization. As an alternative, this research proposes a new feasible chromatic aberration optimization process by using algorithms involving theories of geometric optics in a lens, real encoding, multiple dynamic crossover and random gene mutation techniques. In this research, rear projection television lens with aspherical surface and L-type lens are mainly discussed. Results and conclusions show that attempts to eliminate difficult axial and lateral color aberration are successful. 相似文献
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Automatic lens design is viewed as a multiobjective optimization problem and is resolved by a minimization of the weighted Tchebycheff norm of objective functions. It is analytically solved using the multiplier method and a solution vector is transformed into the same form as the normal equation of the least squares method. Some numerical examples are given to show the effectiveness of the proposed method. The resultant solutions can not be obtained using the damped least squares method. 相似文献