说明：  In this study, it is tried to employ a state-of-the-art multi-objective uniform-diversity genetic algorithm (MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control (LFC) of power systems. At fi rst, multi objective optimization of a linear non-reheat two-area interconnected power system is conducted with respect to three confl icting objective functions. Gains of PI and PID controllers are con- sidered as design variables while the objective functions are Integral Time multiply Absolute Error (ITAE),