PKAIN: An Artificial Immune Network For
Parameter Optimization In Pharmacokinetics
Author(s)
L. Liu, C.-H. Lai, S.-d. Zhou, F. Xie & H.-w. Lu
Abstract
The PKAIN algorithm is an artificial immune network, which has been designed
to optimize parameters of linear pharmacokinetic models in our previous work.
In this paper, the algorithm is modified to optimise parameters of nonlinear
pharmacokinetic models. To evaluate parameters, the numerical inverse Laplace
method is adopted to calculate drug concentrations of the dynamic system. The
initial solutions of pharmacokinetic parameters are generated randomly by the
PKAIN algorithm in a given solution space. Memory cells to be used in the
search of global optimal parameters are generated. The optimal mechanism of
the algorithm is based on artificial immune network principles and simplex
mutation. In addition, a distributed version of the PKAIN algorithm is proposed
to improve its efficiency.
Keywords: pharmacokinetic model, distributed computing, artificial immune
network, numerical inverse Laplace, simplex.
Keywords
pharmacokinetic model, distributed computing, artificial immune
network, numerical inverse Laplace, simplex.
Related Book
Other papers in this volume
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