Acta Chimica Sinica ›› 1997, Vol. 55 ›› Issue (7): 693-702. Previous Articles     Next Articles

Original Articles

用遗传算法优化的约束背景双线性化方法处理含未知背景组分干扰的色谱二维谱图体系

陈文灿;崔卉;陈增萍;许静;莫文莉;梁逸曾   

  1. 湖南大学化学化工系;湖南大学计量学和化学传感技术研究所
  • 发布日期:1997-07-15

Numeric genetic algorithm applying in constrained background bilinearization for two-way chromatography

CHEN WENCAN;CUI HUI;CHEN ZENGPING;XU JING;MO WENLI;LIANG YIZENG   

  • Published:1997-07-15

Numeric genetic algorithm (NGA) is an optimization technique for locating the global optimun. In this paper NGA was used as the optimization procedure in the constrained background bilinearization (CBBL) of two-way bilinear data in order to reduced the possibility of sinking into local optima. The behavior of the algorithm was studied by simulations and real two-way chromatographic data. The results show that, with this algorithm, correct concentrations of the mixture can be determined in the presence of unknown interference. Some details in NGA are also discussed.

Key words: CHROMATOGRAPHY

CLC Number: