AI-BL1.0: a program for automatic on-line beamline optimization using the evolutionary algorithm

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• 作者：Shibo Xi ; Lucas Santiago Borgna ; Lirong Zheng ; Yonghua Du and Tiandou Hu
• 关键词：automatic beamline optimization ; evolutionary algorithm ; Labview
• 刊名：Journal of Synchrotron Radiation
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：24
• 期：1
• 页码：367-373
• 全文大小：695K
• ISSN：1600-5775

文摘

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.