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2005 | 108 | 1 | 95-102
Article title

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

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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
Year
Volume
108
Issue
1
Pages
95-102
Physical description
Dates
published
2005-07
received
2005-04-24
References
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  • 4. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlang, Berlin 1992
  • 5. W.L. Meerts, M. Schmitt, G.C. Groenenboom, Can. J. Chem., 82, 804, 2004
  • 6. J.R. Pilbrow, Transition Ion Electron Paramagnetic Resonance, Clarendon Press, 1990
  • 7. A. Rockenbauer, Mol. Phys. Rep., 26, 117, 1999
  • 8. T. Spalek, P. Pietrzyk, Z. Sojka, J. Chem. Inf. Model., 45, 18, 2005
  • 9. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, New York 1989
  • 10. B. Gil, J. Datka, S. Witkowski, Z. Sojka, E. Broclawik, Stud. Surf. Sci. Catal. D, 130, 3249, 2000
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv108n110kz
Identifiers
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