The Kinetic Evolutionary Modeling of Complex Systems
of Chemical Reactions
Computers & Chemistry, 23 (2):
143--152 (30 March 1999)DOI: doi:10.1016/S0097-8485(99)00005-4
Abstract
To overcome the drawbacks of most available methods
for kinetic analysis, this paper proposes a hybrid
evolutionary modelling algorithm called HEMA to build
kinetic models of systems of ordinary differential
equations (ODEs) automatically for complex systems of
chemical reactions. The main idea of the algorithm is
to embed a genetic algorithm (GA) into genetic
programming (GP) where GP is employed to optimise the
structure of a model, while a GA is employed to
optimize its parameters. The experimental results of
two chemical reaction systems show that by running the
HEMA, the computer can discover the kinetic models
automatically which are appropriate for describing the
kinetic characteristics of the reacting systems. Those
models can not only fit the kinetic data very well, but
also give good predictions.
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