We review the space-mapping (SM) technique and the SM-based surrogate (modeling)
concept and their applications in engineering design optimization. For the first time, we …

This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …

Neural-network computational modules have recently gained recognition as an
unconventional and useful tool for RF and microwave modeling and design. Neural …

In this paper, we outline the historical evolution of RF and microwave design optimization
and envisage imminent and future challenges that will be addressed by the next generation …

Microwave CAD has its roots in the 1960s [1]. Its practice saw the enrichment of circuit-
based model libraries, advances in EM and circuit simulation accuracy, and the refinement …

We propose a significantly improved space mapping (SM) strategy for electromagnetic (EM)
optimization. Instead of waiting for upfront EM analyses at several base points, our new …

The trend of using accurate models such as physics-based FET models, coupled with the
demand for yield optimization results in a computationally challenging task. This paper …

Space mapping is a recognized method for speeding up electromagnetic (EM) optimization.
Existing space-mapping approaches belong to the class of surrogate-based optimization …

In this paper, we propose a simple, yet reliable methodology to expedite yield estimation
and optimization of microwave structures. In our approach, the analysis of the entire …

Yield-driven optimization is important in microwave design due to the uncertainties
introduced in the manufacturing process. For the first time, we extend in this paper the use of …