激光与光电子学进展, 2020, 57 (9): 093001, 网络出版: 2020-05-06   

基于遗传算法和模拟退火算法的振动光谱成分分析算法 下载: 1050次

Vibration Spectral Component Analysis Based on Genetic Algorithm and Simulated Annealing Algorithm
作者单位
南开大学现代光学研究所, 天津市微尺度光学信息技术科学重点实验室, 天津 300071
摘要
在大气污染物中有害气体成分众多,运用太赫兹、红外等振动光谱检测所得不同成分的吸收峰较难辨别。设计了一种根据所测光谱中可能包含的物质的理论光谱分析所测光谱中不同物质所占比重的算法。利用实验峰值与不同理论峰值的对应关系构建超定方程组,分别基于遗传算法和模拟退火算法进行求解,得到实验光谱中各物质理论光谱的贡献。为了验证所提算法的准确性,利用该算法对已知水团簇组成的水汽系统的实验光谱进行了分析,结果表明:所提算法能够得到不同成分的比重,具有较强的实用性。
Abstract
In the atmospheric pollutants, there are many harmful gas components that is difficult to distinguish the absorption peaks of different components obtained by infrared and terahertz spectral detection. This paper designs an algorithm for analyzing the proportion of different substances in the measured spectrum based on the theoretical spectrum of the substances that may be included in the measured spectrum. The overdetermined equations constructed by using the corresponding relationship between experimental peaks and different theoretical peaks are solved based on genetic algorithm and simulated annealing algorithm, so the contribution of theoretical spectra of various materials in the experimental spectrum is obtained. In order to verify the accuracy of the proposed algorithm, we use this algorithm to analyze the experimental spectra of the water vapor system composed of known water clusters. The results show that the proposed algorithm can get the specific gravity of different components better and has stronger practicality.

黄凡, 张旭坤, 孙陆, 刘伟伟. 基于遗传算法和模拟退火算法的振动光谱成分分析算法[J]. 激光与光电子学进展, 2020, 57(9): 093001. Fan Huang, Xukun Zhang, Lu Sun, Weiwei Liu. Vibration Spectral Component Analysis Based on Genetic Algorithm and Simulated Annealing Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(9): 093001.

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