Tuning EPR spectral parameters with a genetic algorithm

Applied Soft Computing

Volumn 1, Issue 1, 2001, Pages 83-90

  Filipič, Bogdan ^a   Štrancar, Janez ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

Biological system characterization; Cell membranes; Electron paramagnetic resonance (EPR); EPR spectral parameters; Evolutionary computation; Genetic algorithm; Stochastic optimization

Indexed keywords

EID: 0002323257     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1568-4946(01)00010-2     Document Type: Article

References (3)

1. T. Bäck, D.B. Fogel, Z. Michalewicz (Eds.), Handbook of Evolutionary Computing, Institute of Physics Publishing, Bristol, Philadelphia, Oxford University Press, New York, Oxford, 1997.
2. D.E. Budil, S. Lee, S. Saxena, J.H. Freed, Nonlinear least squares analysis of slow-motion EPR spectra in one-and two-dimensions using a modified Levenberg-Marquardt algorithm, J. Magn. Resonance Ser. A 120 (1996) 155-189.
3. P.G. Fayer, R.L.H. Benett, C.F. Polnaszek, E.A. Fayer, D.D. Thomas, General method for multiparameter fitting of high-resolution EPR spectra using a simplex algorithm, J. Magn. Resonance 88 (1990) 111-125.