The optimization of numerical functions has been one of the major reasons behind the proposal of new algorithms, since the beginning of the Evolutionary Computation field.
A number of benchmarking numerical functions coming from several sources in literature were implemented in our software.
In the examples provided in this work the aim is to minimize a function f, with N variables x_1, x_2, ... x_N. The value of N can be defined in each case, and other parameters (constants) of the specific functions can also be defined when evaluating the functions.
A number of examples related to numerical function optimization can be found in the package test/numericalopt.
In this case, the solution encoding uses real value representations.
Three different algorithms can be used in the optimization:
The following classes are included in this pacakge: