title: 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.
authors.affiliation: Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Taejon, Korea.
authors.forename: L J
authors.initials: LJ
authors.lastname: Park
authors.forename: C H
authors.initials: CH
authors.lastname: Park
authors.forename: C
authors.initials: C
authors.lastname: Park
authors.forename: T
authors.initials: T
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D005823:Genetics; D059828:Plant Cells; D063245:Plant Development