Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization
| Autor: | Slawomir Koziel, Qingsha S. Cheng, Yiran Song |
|---|---|
| Přispěvatelé: | Tækni- og verkfræðideild (HR), School of Science and Engineering (RU), Háskólinn í Reykjavík, Reykjavik University |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Optimal design
Polynomial TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES Computer science MIMO Loftnet 02 engineering and technology compact UWB antenna lcsh:Chemical technology Polynomials 01 natural sciences Biochemistry Article Analytical Chemistry Surrogate model Component (UML) 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Bestun Ultrawideband Electrical and Electronic Engineering Örbylgjur Þráðlaust net Instrumentation Local surrogate model local surrogate model Multi-fidelity optimization Hönnun Bandpass microstrip filter Hermilíkön 010401 analytical chemistry multi-fidelity optimization 020206 networking & telecommunications bandpass microstrip filter Atomic and Molecular Physics and Optics 0104 chemical sciences Polynomial interpolation Reiknilíkön Tíðni Rafrásir Compact UWB antenna Leiðarar (rafmagn) Antennas space mapping Space mapping Rafeindatæknifræði MIMO antenna Algorithm |
| Zdroj: | Sensors Volume 19 Issue 13 Sensors, Vol 19, Iss 13, p 3023 (2019) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s19133023 |
| Popis: | Publisher's version (útgefin grein) 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. The National Natural Science Foundation of China Grant 61471258 and by Science & Technology Innovation Committee of Shenzhen Municipality Grant KQJSCX20170328153625183. "Peer Reviewed" |
| Databáze: | OpenAIRE |
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