This paper proposes an enhancement of a standard method for the multi-objective optimization known as GAM (Goal Attainment Method). In our modification, the GAM algorithm is combined with a procedure that automatically provides a set of parameters (weights, coordinates of the reference point) for which the method generates non-inferior solutions uniformly spread over a suitably selected part of the Pareto front. The resulting set of the solutions is then presented in a convenient graphic form so that the solution representing the most satisfactory trade-off can easily be chosen. The whole algorithm was implemented as a program and tested on various circuit design examples. A typical one was a four-dimensional multi-objective optimization of an RF video front-end. Therefore, this task is thoroughly described in the paper as a representative demonstration of the capability of the program, including a sophisticated quasi four-dimensional graphic for selecting the trade-off. Moreover, a comparison of our modification with WSM (Weighted Sum Method) is also performed.