Use of a Genetic Algorithm to Optimize TLC Separation

被引：0
|
作者：
Sandra Babić
Alka J. M. Horvat
Maríja Kaštelan-Macan
机构：
[1] University of Zagreb,Laboratory of Analytical Chemistry, Faculty of Chemical Engineering and Technology
来源：
JPC – Journal of Planar Chromatography – Modern TLC | 2005年 / 18卷
关键词：
TLC; Genetic algorithm; Optimization; Pesticides;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：112 / 117
页数：5
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