AI‐BL1.0: a program for automatic on‐line beamline optimization using the evolutionary algorithm. (21st December 2016)

• Record Type: Journal Article
• Authors: Xi, Shibo; Borgna, Lucas Santiago; Zheng, Lirong; Du, Yonghua; Hu, Tiandou
• Is Part Of: Journal of synchrotron radiation. Volume 24:Part 1(2017)
• Page Start: 367
• Page End: 373
• Publication Date: 2016-12-21
• Subjects: automatic beamline optimization -- evolutionary algorithm -- Labview; Synchrotron radiation -- Periodicals; Free electron lasers -- Periodicals; 539.73505
• DOI: 10.1107/S1600577516018117
• Languages: English
• ISSNs: 0909-0495

Abstract

Abstract : An open‐source Labview‐based program for automatic on‐line beamline optimization using an evolutionary algorithm is reported. Abstract : In this report, AI‐BL 1.0, 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.