Particularities of evolutionary parameter estimation in multi-stage compartmental models of thymocyte dynamics

Authors:
Daniela Zaharie;Lavinia Moatar-Moleriu;Viorel Negru
Affiliations:
West University of Timisoara, Timisoara, Romania;West University of Timisoara, Timisoara, Romania;West University of Timisoara, Timisoara, Romania
Venue:
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Year:
2013

Citing 5
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Abstract

The aim of this paper is twofold. Firstly, it presents an extension of a multi-stage compartmental model in order to make it more appropriate in modelling various perturbations of thymocyte dynamics.Secondly, it proposes an evolutionary approach, based on the JADE algorithm, for simultaneously estimating the number of division stages, the rates associated to cellular processes (e.g. proliferation, death, migration) and the parameters corresponding to the proposed perturbation functions. Several quality of fit measures are investigated and their relationship with the variability of experimental data is exploited in order to select the optimization criterion.