Spectral Bayesian Optimization Using a Physics-Informed Rational Szegö Kernel for Microwave Design
Microwave device design increasingly relies on surrogate modeling to accelerate optimization and reduce costly electromagnetic (EM) simulations. This paper presents a spectral Bayesian optimization (SBO) framework leveraging a physicsinformed Gaussian process (GP) with a rational complex-valued Szegö kernel and input warping to enhance surrogate accuracy and data efficiency. Unlike conventional methods that model scalar objectives, […]