Use of a genetic algorithm to optimize TLC separation

被引：8

作者：

Babic, S ^{[1
]}

Horvat, AJM ^{[1
]}

Kastelan-Macan, M ^{[1
]}

机构：

[1] Univ Zagreb, Fac Chem Engn & Technol, Analyt Chem Lab, HR-10000 Zagreb, Croatia

来源：

JPC-JOURNAL OF PLANAR CHROMATOGRAPHY-MODERN TLC | 2005年 / 18卷 / 102期

关键词：

TLC; genetic algorithm; optimization; pesticides;

D O I：

10.1556/JPC.18.2005.2.5

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A method for optimization of a TLC separation based on use of a genetic algorithm is described. The procedure was tested by optimization of the reversed-phase HPTLC separation of a mixture of six pesticides and satisfactory optimum results were obtained. The performance of the genetic algorithm was tested by measurement of the number of generations, the population size, the mutation probability, and the crossover probability. Three separation criteria (MRF, R* and R**) were examined as fitness functions. The genetic algorithm was compared with the simplex method.

引用

页码：112 / 117

页数：6

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