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

Song, Yiran1,2; Cheng, Qingsha S.1; Koziel, Slawomir3,4

2019-07

10.3390/s19133023

SENSORS   影响因子和分区

1424-8220

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.

local surrogate model multi-fidelity optimization space mapping bandpass microstrip filter compact UWB antenna MIMO antenna

SCI ; EI

英语

第一 ; 通讯

Science & Technology Innovation Committee of Shenzhen Municipality[KQJSCX20170328153625183]

Chemistry ; Electrochemistry ; Instruments & Instrumentation

Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation

WOS:000477045000181

MDPI

20193307307031

Antennas ; Bandpass filters ; Iterative methods ; Mapping ; Microstrip filters ; Microwave filters ; Optimal systems ; Polynomial approximation

Surveying:405.3 ; Electric Filters:703.2 ; Dielectric Materials:708.1 ; Radio Systems and Equipment:716.3 ; Numerical Methods:921.6 ; Systems Science:961

CHEMISTRY

Web of Science

1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
2.Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China
3.Reykjavik Univ, Sch Sci & Engn, Menntavegur 1, IS-101 Reykjavik, Iceland
4.Gdansk Univ Technol, Fac Elect Telecommun & Informat, PL-80233 Gdansk, Poland

Song, Yiran,Cheng, Qingsha S.,Koziel, Slawomir. Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization[J]. SENSORS,2019,19(13).

Song, Yiran,Cheng, Qingsha S.,&Koziel, Slawomir.(2019).Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization.SENSORS,19(13).

Song, Yiran,et al."Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization".SENSORS 19.13(2019).