2015
DOI: 10.1109/lawp.2015.2418336
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Fast EM-Driven Size Reduction of Antenna Structures by Means of Adjoint Sensitivities and Trust Regions

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Cited by 78 publications
(55 citation statements)
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“…Combining physics-based modelling with data-driven modelling may also produce promising results [1,5]. In terms of conventional optimization methods, only gradient-based search seems to ensure comparable efficiency if derivative data are obtained through cheap adjoint sensitivities [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Combining physics-based modelling with data-driven modelling may also produce promising results [1,5]. In terms of conventional optimization methods, only gradient-based search seems to ensure comparable efficiency if derivative data are obtained through cheap adjoint sensitivities [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Adjoint sensitivity [16,17] is one of technologies that allow speeding up EM-driven optimization process [18,19] by providing information about the system response and its gradients at little extra computational cost. Unfortunately, this technology is not yet widely used in computational electromagnetic community and commercially only available through a few EM solvers [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…The state of the art analysis indicates that considerable reduction of the simulation-driven design effort can be obtained either through gradient search with adjoint sensitivities [11], [12], or by employing fast surrogate models [13], [14]. The first option is conceptually simpler and with strong theoretical foundations, although commercial availability of adjoint technology in EM solvers is still very limited.…”
Section: Introductionmentioning
confidence: 99%