Constrained Surrogates and Dimensionality Reduction for Low-Cost Multi-Objective Optimization of Compact Microwave Components

This paper addresses the problem of expedited surrogate-assisted multi-objective optimization of compact microwave passives. Our methodology adopts the concept of constrained modeling, enhanced by a reduction of the parameter space dimensionality. The latter is realized through the spectral analysis of the supplementary reference design set used to estimate the geometry of the Pareto front. As dem...