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中文摘要：
为了提高酶免分析仪检测精度，建立了基于改进遗传算法的多组分定量分析校正模型。通过自适应寻优空间技术和小生境技术，对遗传算法进行改进。采用全息凹面光栅作为分光元件，搭建扫描式紫外可见分光光度实验系统，对食品工业中最常见的苋菜红和胭脂红二组分混合水溶液进行定量分析，并与最小二乘回归方法进行了比较。实验结果表明：改进遗传算法预测精度与最小二乘法相近，对苋菜红和胭脂红的预测均方根误差（ RMSEP）分别为0.88，1.71μg/mL；收敛速度明显快于传统遗传算法，为多组分同时测定提供了新的思路。
英文摘要：
In order to improve detection precision of automatic enzyme-linked immunoassay analyzer,a correction model for multicomponent quantitative analysis based on improved genetic algorithm is developed. Through adaptive search space technology and niche technology are proposed to improve performance of genetic algorithm. A UV-Vis spectrophotometer is built by using holographic concave grating as spectroscope. The comparison is made between the proposed method and least squares regression method by application to simultaneous determination of amaranth and carmine samples which are commonly used in the food industry. Experimental results indicate that prediction precision of the improved genetic algorithm and LS are similar,for amaranth and carmine are 0. 88,1. 71μg/mL,respectively;and convergence rate is significantly faster than ordinary GA. It also provides a new idea for multicomponent simultaneous determination.
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