NUMERIC GENETIC ALGORITHM APPLYING IN CON STRAINED BACKGROUND BILINEARIZATION FOR 2-WAY CHROMATOGRAPHY

Numeric genetic algorithm (NGA) is an optimization technique for locat ing 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 reduce the possibility of sinking int o local optima. The behaviour of the algorithm was studied by simulati ons and real two-way chromatographic data. The results show that, with this algorithm, correct concentrations of the mixture can be determin ed in the presence of unknown interference. Some details in NGA are al so discussed.