An evolutionary approach for multi-objective optimization of nonlinear microwave circuits

This paper presents an evolution-based (or genetic) stochastic approach applied to simulation-based optimizations of multiple figures of merit of nonlinear circuit models. The dynamics of the evolutionary method allows for a robust search of the optimal set of non-inferior solutions (Pareto front of the problem), i.e., it tries to achieve the best trade-off curves of the problem. An example shows the robustness of the proposed approach as well as its capacity of achieving sets of solutions with good diversity.