Advanced EM Optimization Using Adjoint-Sensitivity-Based Multifeature Surrogate for Microwave Filter Design
Weicong Na, Ke Liu, Wanrong Zhang, Feng Feng, Jianan Zhang, Hongyun Xie, Dongyue Jin, Qi‐Jun Zhang
Abstract
This letter proposes a novel electromagnetic (EM) optimization approach using adjoint-sensitivity-based multifeature surrogate for microwave filter design. The proposed technique aims to solve the EM optimization problem, in which the starting point is far from the design specifications. We propose to add feature sensitivities in multifeature surrogate modeling to achieve a more accurate surrogate compared with the existing methods without feature sensitivities. We also propose a new design objective function in feature space to further improve the efficiency of multifeature-assisted optimization. Two microwave filter examples are used to demonstrate the proposed technique.