Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components

摘要

A procedure for rapid EM-based multi-objectiveoptimization of compact microwave components is presented.Our methodology employs a recently developed nested krigingmodelling to identify the search space region containing thePareto-optimal designs, and to construct a fast surrogate model.The latter permits determination of the initial Pareto set, furtherrefined using a separate surrogate-assisted process. As anillustration, a three-section impedance transformer is designedfor the best matching and minimum size. The set of trade-offdesigns is produced at the low computational cost of only a fewhundred of high-fidelity EM simulations of the transformercircuit despite a large number of its geometry parameters.