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Randomized optimization methods in parameter identification for biochemical network models

Author(s):

K. Koutroumpas, E. Cinquemani, J. Lygeros
Conference/Journal:

FOSBE 2007
Abstract:

The application of randomized optimization techniques to the parameter identification of a model of subtilin production by Bacillus subtilis is discussed. A Markov chain Monte Carlo approach to identification is presented along with an initialization method based on genetic agorithms. The combination of the two optimization techniques is shown to improve Markov chain Monte Carlo estimation performance while preserving theoretical convergence properties that are not offered by the genetic algorithms alone. Results from numerical simulations are reported

Year:

2007
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { KouCin:2007:IFA_2865,
    author={K. Koutroumpas and E. Cinquemani and J. Lygeros},
    title={{Randomized optimization methods in parameter identification
	  for biochemical network models}},
    booktitle={FOSBE 2007},
    pages={},
    year={2007},
    address={},
    month=sep,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2865}
}
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