Bayesian active learning for multi‐objective feasible region identification in microwave devices

Garbuglia, Federico and Qing, Jixiang and Knudde, Nicolas and Spina, Domenico and Couckuyt, Ivo and Deschrijver, Dirk and Dhaene, Tom (2021) Bayesian active learning for multi‐objective feasible region identification in microwave devices. Electronics Letters. pp. 400-403. ISSN 0013-5194

Abstract

In microwave device and circuit design, many simulations are often needed to find a set of designs that satisfy one or multiple specifications chosen by the designer upfront: the feasible region. A novel Bayesian active learning framework is presented to accurately identify the feasible region with a low number of simulations. The technique leverages on a stochastic model to obtain an efficient and automated procedure. A suitable application example validates the proposed technique and shows its effectiveness to rapidly obtain many suitable designs.