Application of the genetic algorithms to data modeling in the case of fluorescence spectroscopy

The genetic algorithms (GAs) are applied to extract the values of parameters that describe the behavior of the asymmetric rotorlike fluorescence probes embedded in the uniaxially ordered system. The capabilities of the GA are enhanced by an application of a simple first order derivative search for the values of the multiplicative factors at each stage of the evolutionary run. The convergence is improved by the help of a gradient-expansion search performed after the GA is done. The potentiality of this approach demonstrates an example concerning the synthetic data set. The text was submitted by the authors in English.