This algorithm is very similar to the default algorithm of APS 3.0, with the difference that it gives the user the possibility of choosing the range and type of numerical constants that will be used during the learning process.

Here you have also access to a small set of genetic operators (RNC mutation, Dc mutation, Dc inversion, and Dc IS transposition) especially developed for handling random numerical constants (if you are not familiar with these operators, please use the default values for they work very well in all cases).