论文标题
使用遗传算法的自动化材料光谱分析
Automated Materials Spectroscopy Analysis using Genetic Algorithms
论文作者
论文摘要
我们介绍了基于遗传算法（GA）的开源项目，以解决材料表征数据分析的多目标优化问题，包括EXAFS，XPS和纳米识别。模块化设计以及多个交叉和突变选项使该软件也可扩展用于其他材料表征应用程序。分析的这种自动化至关重要，在仪器获得比手工分析更快地获得数量级的时代。我们的结果表明，人类干预最少的健身得分良好。
We introduce a Genetic Algorithm (GA) based, open-source project to solve multi-objective optimization problems of materials characterization data analysis including EXAFS, XPS and nanoindentation. The modular design and multiple crossover and mutation options make the software extensible for additional materials characterization applications too. This automation of the analysis is crucial in the era when instrumentation acquires data orders of magnitude more rapidly than it can be analyzed by hand. Our results demonstrated good fitness scores with minimal human intervention.
