AI-BL1.0：一个使用进化算法进行在线束线自动优化的程序。
AI-BL1.0: a program for automatic on-line beamline optimization using the evolutionary algorithm.
作者信息
Xi Shibo, Borgna Lucas Santiago, Zheng Lirong, Du Yonghua, Hu Tiandou
机构信息
Heterogeneous Catalysis, Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research, 1 Pesek Road, Jurong Island 627833, Singapore.
Department of Physics, Loughborough University, Leicestershire LE11 3TU, UK.
出版信息
J Synchrotron Radiat. 2017 Jan 1;24(Pt 1):367-373. doi: 10.1107/S1600577516018117.
In this report, AI-BL1.0, an open-source Labview-based program for automatic on-line beamline optimization, is presented. The optimization algorithms used in the program are Genetic Algorithm and Differential Evolution. Efficiency was improved by use of a strategy known as Observer Mode for Evolutionary Algorithm. The program was constructed and validated at the XAFCA beamline of the Singapore Synchrotron Light Source and 1W1B beamline of the Beijing Synchrotron Radiation Facility.
在本报告中，介绍了AI-BL1.0，这是一个基于Labview的用于自动在线束线优化的开源程序。该程序中使用的优化算法是遗传算法和差分进化算法。通过使用一种称为进化算法观测器模式的策略提高了效率。该程序在新加坡同步辐射光源的XAFCA束线和北京同步辐射装置的1W1B束线构建并得到验证。
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