Application of Genetic Algorithm for Extraction of the Parameters from Powder EPR Spectra

• Authors: T. Spałek , P. Pietrzyk , Z. Sojka
• Languages of publication: EN

Abstracts

EN

The application of the stochastic genetic algorithm in tandem with the deterministic Powell method to automated extraction of the magnetic parameters from powder EPR spectra was described. The efficiency and robustness of such hybrid approach were investigated as a function of the uncertainty range of the parameters, using simulated data sets. The discussed results demonstrate superior performance of the hybrid genetic algorithm in fitting of complex spectra in comparison to the common Monte Carlo method joint with the Powell refinement.

Keywords

EN

02.60.Pn; 02.60.Ed; 76.30.Fc; 82.75.Mj; 61.43.Gt

Discipline

• 76.30.Fc: Iron group (3d) ions and impurities (Ti-Cu)
• 61.43.Gt: Powders, porous materials
• 82.75.Mj: Measurements and simulation of properties (optical, structural) of molecules in zeolites
• 02.60.Ed: Interpolation; curve fitting
• 02.60.Pn: Numerical optimization

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2005
• Volume: 108
• Issue: 1
• Pages: 95-102

Dates

published

2005-07

received

2005-04-24

Contributors

author

T. Spałek

• Faculty of Chemistry, Jagiellonian University, Ingardena 3, 30-060 Cracow, Poland

author

P. Pietrzyk

• Faculty of Chemistry, Jagiellonian University, Ingardena 3, 30-060 Cracow, Poland

author

Z. Sojka

• Faculty of Chemistry, Jagiellonian University, Ingardena 3, 30-060 Cracow, Poland

References

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Identifiers

DOI

10.12693/APhysPolA.108.95