  The paper contains the concept and the results of research concerning the
evolutionary algorithm, identified based on the systems control theory, which
was called the Systemically of Evolutionary Algorithm (SAE). Special attention
was paid to two elements of evolutionary algorithms, which have not been fully
solved yet, i.e. to the methods used to create the initial population and the
method of creating the robustness (fitness) function. Other elements of the SEA
algorithm, i.a. cross-over, mutation, selection, etc. were also defined from a
systemic point of view. Computational experiments were conducted using a
selected subsystem of the Polish Electrical Power System and three programming
languages: Java, C++ and Matlab. Selected comparative results for the SAE
algorithm in different implementations were also presented.
