Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization

Yiran Song; Qingsha Cheng; Sławomir Kozieł

doi:10.3390/s19133023

Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization

Abstract

In order to minimize the number of evaluations of high-fidelity (“fine”) model in the optimization process, to increase the optimization speed, and to improve optimal solution accuracy, a robust and computational-efficient multi-fidelity local surrogate-model optimization method is proposed. Based on the principle of response surface approximation, the proposed method exploits the multi-fidelity coarse models and polynomial interpolation to construct a series of local surrogate models. In the optimization process, local region modeling and optimization are performed iteratively. A judgment factor is introduced to provide information for local region size update. The last local surrogate model is refined by space mapping techniques to obtain the optimal design with high accuracy. The operation and efficiency of the approach are demonstrated through design of a bandpass filter and a compact ultra-wide-band (UWB) multiple-in multiple-out (MIMO) antenna. The response of the optimized design of the fine model meet the design specification. The proposed method not only has better convergence compared to an existing local surrogate method, but also reduces the computational cost substantially

Citations

1 6

CrossRef
0

Web of Science
1 8

Scopus

Authors (3)

Yiran Song
- Southern University of Science and Technology Electrical and Electronic Engineering
Qingsha Cheng
- Southern University of Science and Technology Electrical and Electronic Engineering
Sławomir Kozieł prof. dr inż.

Cite as

Full text

download paper

downloaded 39 times

Publication version: Accepted or Published Version
License: open in new tab

Keywords

Details

Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: SENSORS no. 19, pages 1 - 13,
ISSN: 1424-8220
Language:: English
Publication year:: 2019
Bibliographic description:: Song Y., Cheng Q., Kozieł S.: Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization// SENSORS. -Vol. 19, iss. 13 (2019), s.1-13
DOI:: Digital Object Identifier (open in new tab) 10.3390/s19133023
Verified by:: Gdańsk University of Technology