Open AccessAI‐BL 1.0: a program for automatic on‐line beamline optimization using the evolutionary algorithm
Author(s) -
Xi Shibo,
Borgna Lucas Santiago,
Zheng Lirong,
Du Yonghua,
Hu Tiandou
Publication year - 2017
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s1600577516018117
Subject(s) - beamline , evolutionary algorithm , synchrotron radiation , differential evolution , computer science , line (geometry) , genetic algorithm , synchrotron , algorithm , optics , physics , artificial intelligence , machine learning , mathematics , beam (structure) , geometry
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.