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自由电子激光(Free-Electron Laser,FEL)的辐射功率、光谱等关键量是表征FEL品质的重要因素,这些量往往依赖于多种参量,所以优化这些品质参量的问题即可等效为如何寻求合适的参数来获得更优的FEL的输出。遗传算法是解决这类多变量优化问题常用的算法之一。本文基于遗传算法设计了一个用于FEL优化的应用程序,该应用程序利用实数编码方式,选择合适的算子并作相应的改进,同时利用Java Swing构建了友好的用户界面。实验结果表明,在进行辐射功率优化时,该算法能够在较短的时间内寻找到非常接近全局最优解的较优解。该应用程序具有良好的通用性与可扩展性,在一定程度上为FEL装置的运行优化提供帮助。
Free-electron laser (Free-Electron Laser, FEL) radiation power, spectral and other key is to characterize the FEL quality important factors, these quantities are often dependent on a variety of parameters, so the optimization of these quality parameters can be equivalent to how to seek Appropriate parameters for better FEL output. Genetic algorithm is one of the commonly used algorithms to solve such multivariable optimization problems. In this paper, an application for FEL optimization is designed based on genetic algorithm. The application uses real number encoding to select suitable operators and make corresponding improvements. At the same time, a friendly user interface is constructed by using Java Swing. Experimental results show that the proposed algorithm can find an optimal solution very close to the global optimal solution in a short period of time when the radiation power is optimized. The application has good versatility and scalability, to a certain extent, to help optimize the operation of the FEL device.