2020
DOI: 10.1002/jnm.2855
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Low‐cost multi‐criteria design optimization of compact microwave passives using constrained surrogates and dimensionality reduction

Abstract: Design of contemporary microwave circuits is a challenging task. Typically, it has to take into account several performance requirements and constraints.The design objectives are often conflicting and their simultaneous improvement may not be possible; instead, compromise solutions are to be sought. Representative examples are miniaturized microwave passives where reduction of the circuit size has a detrimental effect on its electrical characteristics. Acquiring information about the best possible design trade… Show more

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Cited by 3 publications
(3 citation statements)
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“…Surrogate modelling techniques [ [29] , [30] , [31] , [32] , [33] ] have gained popularity in optimising engineering design problems, with researchers focusing on different applications. Koziel and Pietrenko-Dabrowska [ 34 , 35 ] contribute to this field by addressing the challenges of designing and optimising high-frequency systems, especially antennas and microwave circuits.…”
Section: Related Workmentioning
confidence: 99%
“…Surrogate modelling techniques [ [29] , [30] , [31] , [32] , [33] ] have gained popularity in optimising engineering design problems, with researchers focusing on different applications. Koziel and Pietrenko-Dabrowska [ 34 , 35 ] contribute to this field by addressing the challenges of designing and optimising high-frequency systems, especially antennas and microwave circuits.…”
Section: Related Workmentioning
confidence: 99%
“…A viable and efficient solution for this problem is the usage of data driven surrogate models 19–23 . Application of data driven surrogate models for repetitive optimization process is a well‐known technique which is being studied for many different type of microwave and RF research topics such as; modeling of RF small signal microwave transistors, 24–28 design and optimization of passive microwave stages such as filters, 29–42 Meta surfaces, 43–45 and microwave antenna designs 46–57 …”
Section: Introductionmentioning
confidence: 99%
“…A viable and efficient solution for this problem is the usage of data driven surrogate models. [19][20][21][22][23] Application of data driven surrogate models for repetitive optimization process is a well-known technique which is being studied for many different type of microwave and RF research topics such as; modeling of RF small signal microwave transistors, [24][25][26][27][28] design and optimization of passive microwave stages such as filters, [29][30][31][32][33][34][35][36][37][38][39][40][41][42] Meta surfaces, [43][44][45] and microwave antenna designs. [46][47][48][49][50][51][52][53][54][55][56][57] In this work, in order to achieve an efficient optimization process for focusing the EM energy into the tumor location, a data driven surrogate model of antenna array, which its data samples are generated using ARM method, is taken into the consideration.…”
Section: Introductionmentioning
confidence: 99%