libSRES: A C library for stochastic ranking evolution strategy for parameter estimation. Summary: Estimation of kinetic parameters in a biochemical pathway or network represents a common problem in systems studies of biological processes. We have implemented a C library, named libSRES, to facilitate a fast implementation of computer software for study of non-linear biochemical pathways. This library implements a (μ, λ)-ES evolutionary optimization algorithm that uses stochastic ranking as the constraint handling technique. Considering the amount of computing time it might require to solve a parameter-estimation problem, an MPI version of libSRES is provided for parallel implementation, as well as a simple user interface. libSRES is freely available and could be used directly in any C program as a library function. We have extensively tested the performance of libSRES on various pathway parameter-estimation problems and found its performance to be satisfactory.

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References in zbMATH (referenced in 2 articles )

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  1. Afraites, Lekbir; Atlas, Abdelghafour: Parameters identification in the mathematical model of immune competition cells (2015)
  2. Ji, Xinglai; Xu, Ying: Libsres: A c library for stochastic ranking evolution strategy for parameter estimation (2006) ioport