TY - JOUR
T1 - High-Dimensional Global Optimization Method for High-Frequency Electronic Design
AU - Torun, Hakki Mert
AU - Swaminathan, Madhavan
N1 - Funding Information:
Manuscript received November 8, 2018; revised April 28, 2019; accepted May 1, 2019. Date of publication May 31, 2019; date of current version June 4, 2019. This work was supported in part by the DARPA CHIPS Project under Award N00014-17-1-2950 and in part by ASCENT, one of six centers in JUMP, a Semiconductor Research Corporation (SRC) Program sponsored by DARPA. This paper is an expanded version from the International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Reykjavik, Iceland, August 8–10, 2018. (Corresponding author: Hakki Mert Torun.) The authors are with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Efficient global optimization of microwave systems is a very challenging task that emerges in importance for rapid design closure and discovery of novel structures. As the operating frequency increases, additional difficulties in design optimization occur due to increased nonlinearity, creating a high-dimensional nonconvex response surface. Bayesian optimization (BO) is a promising solution to solve such problems. However, BO-based methods suffer from the curse of dimensionality, where the number of simulations required for convergence increases exponentially with the number of parameters. In this paper, we address this problem and propose a new BO-based high-dimensional global optimization method titled, Bayesian Optimization with Deep Partioning Tree (DPT-BO). DPT-BO leverages a novel DPT that allows for rapid coverage of high-dimensional sample spaces and utilizes an additive Gaussian process (ADD-GP) with a fully additive decomposition, making it more suitable for high-frequency design optimization. We apply DPT-BO to different optimization test functions along with three high-frequency design applications, namely, maximizing signal integrity in high-speed channels, minimizing losses of substrate integrated waveguides with air cavity, and maximizing efficiency of wireless power transfer systems. The results show that DPT-BO finds control parameters that provide better performance in less CPU time compared to other techniques.
AB - Efficient global optimization of microwave systems is a very challenging task that emerges in importance for rapid design closure and discovery of novel structures. As the operating frequency increases, additional difficulties in design optimization occur due to increased nonlinearity, creating a high-dimensional nonconvex response surface. Bayesian optimization (BO) is a promising solution to solve such problems. However, BO-based methods suffer from the curse of dimensionality, where the number of simulations required for convergence increases exponentially with the number of parameters. In this paper, we address this problem and propose a new BO-based high-dimensional global optimization method titled, Bayesian Optimization with Deep Partioning Tree (DPT-BO). DPT-BO leverages a novel DPT that allows for rapid coverage of high-dimensional sample spaces and utilizes an additive Gaussian process (ADD-GP) with a fully additive decomposition, making it more suitable for high-frequency design optimization. We apply DPT-BO to different optimization test functions along with three high-frequency design applications, namely, maximizing signal integrity in high-speed channels, minimizing losses of substrate integrated waveguides with air cavity, and maximizing efficiency of wireless power transfer systems. The results show that DPT-BO finds control parameters that provide better performance in less CPU time compared to other techniques.
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U2 - 10.1109/TMTT.2019.2915298
DO - 10.1109/TMTT.2019.2915298
M3 - Article
AN - SCOPUS:85067100067
SN - 0018-9480
VL - 67
SP - 2128
EP - 2142
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
IS - 6
M1 - 8727492
ER -