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- aggregation classification "P1".
- aggregation creator B132717.
- aggregation creator B132718.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 3003826.bibtex.
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- aggregation isPartOf urn:isbn:9781467304627.
- aggregation isPartOf urn:issn:1522-3965.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Efficient simulation-driven design optimization of antennas using co-kriging".
- aggregation abstract "We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through kriging. During the design process, the predictions obtained by optimizing the surrogate are verified using high-fidelity EM simulations, and this high-fidelity data is used to enhance the surrogate through co-kriging technique that accommodates all EM simulation data into one surrogate model. The co-kriging-based optimization algorithm is simple, elegant and is capable of yielding a satisfactory design at a low cost equivalent to a few high-fidelity EM simulations of the antenna structure. To our knowledge, this is a first application of co-kriging to antenna design. An application example is provided.".
- aggregation authorList BK340186.
- aggregation endPage "2".
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- aggregation aggregates 3003827.
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- aggregation isDescribedBy 3003826.
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