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

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Abstract

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.

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Authors and Affiliations

  1. Department of Physics and Biophysics, University of Warmia and Mazury, Oczapowskiego 4, 10-719, Olsztyn, Poland

    M. Buczkowski

  2. Institute of Physics, Nicolas Copernicus University, Grudziądzka 5/7, 87-100, Toruń, Poland

    J. J. Fisz

Authors
  1. M. Buczkowski
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  2. J. J. Fisz
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Correspondence to M. Buczkowski.

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The text was submitted by the authors in English.

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Buczkowski, M., Fisz, J.J. Application of the genetic algorithms to data modeling in the case of fluorescence spectroscopy. Phys. Part. Nuclei Lett. 5, 294–296 (2008). https://doi.org/10.1134/S1547477108030333

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  • DOI: https://doi.org/10.1134/S1547477108030333

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