This study extends the possibilities of a general application model, which has been 
successfully applied to natural complex systems simulation, this model is obtained 
merging elements from evolutionary computing and object-oriented paradigms. The 
extended model, which in before papers was called Object-Oriented Genetic Model 
(OOGM), takes advantage of new features in evolutionary computing modeling. This 
model shows a novel representation method of the objects composing the studied 
system and their evolution rules. These objects become evolvable, in the meaning 
that they possess the ability to depict dynamics or evolutionary processes in the 
system. Besides, it is shown that this integration let us take advantage of the 
holistic and evolutionary paradigms, simulating static and dynamic complexity, 
respectively. Basically it ist shown in this paper the initial phase of a extended 
application of this model for the recognition of geoforms in glacials, mainly 
moraines, with a support of Grass 6.0.2 possibilities. The model allows 
additionally a expansion to others very complex dynamic problems in glaciology 
which are also discussed.