2012
DOI: 10.1109/tmag.2011.2174145
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Comparison of Efficient Global Optimization and Output Space Mapping on the Biobjective Optimization of a Safety Isolating Transformer

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Cited by 9 publications
(5 citation statements)
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“…Facilitating EM‐driven design procedures has been the subject of intense research over the last two decades or so. Among the various techniques developed, some notable examples include adjoint sensitivities and their applications for accelerating gradient search procedures, 10 surrogate‐assisted frameworks involving both approximation 11‐13 and physics‐based models 14‐16 but also machine learning methods, 17 typically applied for global optimization (eg, EGO‐type of methods 18 ).…”
Section: Introductionmentioning
confidence: 99%
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“…Facilitating EM‐driven design procedures has been the subject of intense research over the last two decades or so. Among the various techniques developed, some notable examples include adjoint sensitivities and their applications for accelerating gradient search procedures, 10 surrogate‐assisted frameworks involving both approximation 11‐13 and physics‐based models 14‐16 but also machine learning methods, 17 typically applied for global optimization (eg, EGO‐type of methods 18 ).…”
Section: Introductionmentioning
confidence: 99%
“…for accelerating gradient search procedures, 10 surrogate-assisted frameworks involving both approximation [11][12][13] and physics-based models [14][15][16] but also machine learning methods, 17 typically applied for global optimization (eg, EGO-type of methods 18 ).…”
mentioning
confidence: 99%
“…Another approach is algorithmic acceleration of local EM‐based optimisation procedures through sparse sensitivity updates [17, 18]. In the context of global optimisation, data‐driven models combined with sequential sampling strategies are used as well [19].…”
Section: Introductionmentioning
confidence: 99%
“…Yet, these models barely consider phenomena like acoustic vibrations or ripple torque (RT) as they are hard to model analytically. These phenomena can, however, be very well handled with finite-element (FE) analysis and some techniques, such as output space mapping [3], were developed to handle multigranular optimization.…”
Section: Introductionmentioning
confidence: 99%