Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation

Introduction.- Simulation-driven design of high-frequency structures.- Basics of response feature technology.- Response features for local optimization.- Expedited feature-based optimization.- Response features for global and multi-objective design.- Feature-based surrogate modeling.- Performance-driven modeling with response features.- Response features for uncertainty quantification.- Feature-based warm start optimization and database design acquisition.- Response features for reliability improvement.- Generalized features.- Summary and conclusion.

Anna Pietrenko-Dabrowska received the M.Sc. and Ph.D. degrees in electronic engineering from Gdansk University of Technology, Poland, in 1998 and 2007, respectively. Currently, she is an Associate Professor with Gdansk University of Technology, Poland. She is the Associate Editor of Int. J. Numerical Modeling, and Academic Editor of Int. J. Ant. Prop. She is also a guest co-editor of special issue of Int. J. Numerical Modeling (Advances in Forward and Inverse Surrogate Modeling for High-Frequency Design). She is a program committee member of international conferences (IEEE MTT-s Int. Conf. Num. EM and Multiphysics Modeling and Optim., NEMO 2019, Int. Conf. Comp. Science, ICCS 2019). Her research interests include simulation-driven design, design optimization, experiment design, control theory, modeling of microwave and antenna structures, numerical analysis. She is also a co-author of the book "Performance-driven surrogate modeling of high-frequency structures," (Springer, 2020).

Slawomir Koziel received the M.Sc. and Ph.D. degrees in electronic engineering from Gdansk University of Technology, Poland, in 1995 and 2000, respectively. He also received the M.Sc. degrees in theoretical physics and in mathematics, in 2000 and 2002, respectively, as well as the PhD in mathematics in 2003, from the University of Gdansk, Poland. He is currently a Professor with the Department of Engineering, Reykjavik University, Iceland. His research interests include CAD and modeling of microwave circuits, simulation-driven design, surrogate-based optimization, space mapping, circuit theory, evolutionary computation and numerical analysis. In recent years, he has been working extensively on surrogate-based modeling and optimization techniques as well as computationally efficient simulation-driven design methods for microwave engineering and aerospace engineering. He has published several book chapters and over 1,000 research papers. He is a founder and director of Engineering