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Literature DB >> 9136190

Application of genetic algorithms to parameter estimation of bioprocesses.

Abstract

The paper explains the application of a genetic algorithm (GA) to the problem of estimating parameters for a kinetic model of a biologically reacting system. It is demonstrated that the GA is a powerful tool for quantifying the kinetic parameters using kinetic data. As the operation of the GA does not depend on the form of the model equation, it can be applied to the wide spectrum of kinetic modelling problems without any complex formulation procedure.

Entities: Disease

Mesh：

Year: 1997 PMID： 9136190 DOI： 10.1007/bf02510391

Source DB: PubMed Journal: Med Biol Eng Comput ISSN： 0140-0118 Impact factor: 2.602

1 in total

1. Kinetics and stoichiometry of growth of plant cell cultures of Catharanthus roseus and Nicotiana tabacum in batch and continuous fermentors.

Authors: W M van Gulik; H J Ten Hoopen; J J Heijnen
Journal: Biotechnol Bioeng Date: 1992-10-20 Impact factor: 4.530

1 in total

4 in total

Application of genetic algorithms to parameter estimation of bioprocesses.

1. Kinetics and stoichiometry of growth of plant cell cultures of Catharanthus roseus and Nicotiana tabacum in batch and continuous fermentors.

Review 1. Recent developments in parameter estimation and structure identification of biochemical and genomic systems.

2. Parameter estimation for stiff equations of biosystems using radial basis function networks.

3. A proliferation saturation index to predict radiation response and personalize radiotherapy fractionation.

Review 4. The (Mathematical) Modeling Process in Biosciences.