Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design

This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-based electromagnetic (EM) optimization technique exploiting trust-region algorithms for microwave filter design. The proposed optimization technique addresses the situation where the response of the starting...

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Bibliographic Details
Published in:	IEEE transactions on microwave theory and techniques Vol. 68; no. 2; pp. 531 - 542
Main Authors:	Feng, Feng, Na, Weicong, Liu, Wenyuan, Yan, Shuxia, Zhu, Lin, Ma, Jianguo, Zhang, Qi-Jun
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Computational modeling Design optimization Design specifications Electromagnetic (EM) optimization feature Feature extraction Filter design (mathematics) Linear programming microwave filter Microwave filters neuro-transfer function (neuro-TF) Optimization Optimization techniques Parameter identification Parameter modification Specifications Transfer functions trust region
ISSN:	0018-9480, 1557-9670
Online Access:	Get full text
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