IAC-Pop (Aparicio & Hidalgo 2009) is a code designed to solve the Star Formation History (SFH) of a complex stellar population system, like a galaxy, from the analysis of the Color-Magnitude Diagram (CMD). It uses a genetic algorithm to minimize a Chi-2 merit function comparing the star distributions in the observed CMD and the CMD of a synthetic stellar population. A parameterization of the CMDs is used, which is the main input of the code. In fact, the code can be applied to any problem in which a similar parametrization of an experimental set of data and models can be made.

As an example and to serve as a consistency test, we present here the detailed method used to obtain the SFH of a mock CMD. The method has been designed to obtain the SFH in four steps. It makes use of different algorithms and suit programs.