Application of Genetic Algorithm in the Optimization of TLC Separation (CROSBI ID 496940)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Babić, Sandra ; Horvat, Alka J.M. ; Kaštelan-Macan, Marija
engleski
Application of Genetic Algorithm in the Optimization of TLC Separation
An optimisation method based on application of genetic algorithm in optimization of TLC separation is described. The optimisation procedure was tested in optimisation of the reverse-phase HPTLC separation of six pesticides in mixture and satisfactory optimal results were obtained. The performances of genetic algorithm were tested regarding the following parameters: number of generation, population size, mutation probability and crossover probability.Three separation criterions (MRF, R* and R**) were examined as a fitness function. A comparative study between genetic algorithm and simplex method was performed.
TLC; Genetic Algorithm; Optmisation; Pesticide
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Podaci o prilogu
203-213-x.
2004.
objavljeno
Podaci o matičnoj publikaciji
Nyiredy, Sz.
Budakalasz: Research Institute for Medicinal Plants, Budakalasz, Hungary
Podaci o skupu
Planar Chromatography 2004
poster
23.05.2004-25.05.2004
Visegrád, Mađarska