Electronic circuit design using multiobjective optimization

This paper presents a variation and extension of a previously existing method for multiobjective optimization known as goal attainment method (GAM). The method GAM is in this research combined with a mechanism that automatically provides a set of parameters (weights, coordinates of the reference point) for which the method generates noninferior solutions uniformly spread over a suitably chosen part of the Pareto front. The resulting set of solutions is then presented in a graphic form to the designer so that the solution representing the most satisfactory tradeoff can be easily chosen. The whole algorithm was implemented as a program and tested on two RF design examples (an LNA and a power amplifier), whose optimization results are also presented in the paper.