In GP, evolutionary learning process always maintains a
population of learning models called individuals. So, the com-
plexitycomplexity of the models in GP, which presentis represented by trees, areis closely
related to the size of the tree and reducing the complexity of
the models is equivalent to controlling code bloat (code grow).
In the section, a brief outline of the techniques for controlling
code bloat in GP.