利用紫外光-可見光分光光度計、傳統最小平方法（GLS）與三組依據 多變量校正法之遺傳演算法（GA）於多重檢測藥錠中benazepril及hydrochlorothiazide之技術已被論證。這三組遺傳多變量校正法包括遺傳傳統最小平方法（GcLS）、遺傳反最小平方法（GILS）及遺傳迴歸法。此資料庫包含下列樣品之紫外光光譜：28件benazepril（12~36 μg/mL）與hydrochlorothiazide(10~22 μg/mL)合成混合物及16件包含上述兩種成分之錠劑。光譜涵蓋範圍介於210~360 nm，間距為0.1 nm。許多校正模式即是以前述幾種方法建立而成。對所有的遺傳演算法，合成資料之均方根誤差校正（RMSEc）與均方根誤差確效（RMSEV）介於0.19~0.34 μg/mL。錠劑預測值之均方根誤差介於0.04~0.20 mg/tablets。選定波長下，針對每種成分之遺傳演算法比較亦被探討。

Simultaneous determination of binary mixtures of benazepril and hydrochlorothiazide in pharmaceutical tablets using U V-visible spectrophotometry, classical least squares (CLS) and three genetic algorithms (GA) based multivariate calibration methods was demonstrated.
The three genetic multivariate calibration methods are Genetic C lassical Least Squares (GCLS), Genetic Inverse Least Squares
(GILS) and Genetic Regression (GR). The sample data set contains the U V- spectra of 28 synthetic mixtures of benazepril (12~36μg/mL) and hydrochlorothiazide (10~22 μg/mL) and 16 tablets containing both compounds. The spectra cover the range from 210 to 360 nm in 0.1 nm intervals. Several calibration models were built with the four methods. The root mean square error of calibration (RMSEC) and validation (RMSEV) for the synthetic data were in the range of 0.19 and 0.34 μg/mL for all the genetic algorithm based methods. The root mean square error of Prediction (RMSEP) values for the tablets were in the range of 0.04~0.20 mg/tablets. A comparison of genetic algorithm selected wavelengths for each component was also included.