abstract = "The novel evolutionary artificial intelligence
formalism namely, genetic programming (GP) a branch of
genetic algorithms is used to develop mathematical
models based on input-output data, instead of
conventional regression and neural network modeling
techniques which are commonly used for this purpose.
This paper summarizes the available MATLAB toolboxes
and their features. Glucose to gluconic acid batch
bioprocess has been modeled using both GPLAB and hybrid
approach of GP and Orthogonal Least Square method (GP
OLS). GP OLS which is capable of pruning of trees has
generated parsimonious expressions simpler to GPLAB,
with high fitness values and low mean square error
which is an indicative of the good prediction accuracy.
The capability of GP OLS to generate non-linear
input-output dynamic systems has been tested using an
example of fed-batch bioreactor. The simulation and GP
model prediction results indicate GP OLS is an
efficient and fast method for predicting the order and
structure for non-linear input and output model.",
notes = "Modeling of glucose to gluconic acid bioprocess.
Orthogonal Least Square OLS. GPOLS.