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Efficient simulation-driven design optimization of antennas using co-kriging

Slawomir Koziel, Stanislav Ogurtsov, Ivo Couckuyt UGent and Tom Dhaene UGent (2012) IEEE Antennas and Propagation Society International Symposium. p.1-2
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
IBCN
in
IEEE Antennas and Propagation Society International Symposium
issue title
2012 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI)
pages
1 - 2
publisher
IEEE
conference name
IEEE International Symposium on Antennas and Propagation
conference location
Chicago, IL, USA
conference start
2012-07-08
conference end
2012-07-14
Web of Science type
Proceedings Paper
Web of Science id
000312442301126
ISSN
1522-3965
ISBN
9781467304627
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3003826
handle
http://hdl.handle.net/1854/LU-3003826
date created
2012-10-02 10:52:14
date last changed
2016-12-19 15:36:27
@inproceedings{3003826,
  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.},
  author       = {Koziel, Slawomir and Ogurtsov, Stanislav and Couckuyt, Ivo and Dhaene, Tom},
  booktitle    = {IEEE Antennas and Propagation Society International Symposium},
  isbn         = {9781467304627},
  issn         = {1522-3965},
  keyword      = {IBCN},
  language     = {eng},
  location     = {Chicago, IL, USA},
  pages        = {1--2},
  publisher    = {IEEE},
  title        = {Efficient simulation-driven design optimization of antennas using co-kriging},
  year         = {2012},
}

Chicago
Koziel, Slawomir, Stanislav Ogurtsov, Ivo Couckuyt, and Tom Dhaene. 2012. “Efficient Simulation-driven Design Optimization of Antennas Using Co-kriging.” In IEEE Antennas and Propagation Society International Symposium, 1–2. IEEE.
APA
Koziel, Slawomir, Ogurtsov, S., Couckuyt, I., & Dhaene, T. (2012). Efficient simulation-driven design optimization of antennas using co-kriging. IEEE Antennas and Propagation Society International Symposium (pp. 1–2). Presented at the IEEE International Symposium on Antennas and Propagation, IEEE.
Vancouver
1.
Koziel S, Ogurtsov S, Couckuyt I, Dhaene T. Efficient simulation-driven design optimization of antennas using co-kriging. IEEE Antennas and Propagation Society International Symposium. IEEE; 2012. p. 1–2.
MLA
Koziel, Slawomir, Stanislav Ogurtsov, Ivo Couckuyt, et al. “Efficient Simulation-driven Design Optimization of Antennas Using Co-kriging.” IEEE Antennas and Propagation Society International Symposium. IEEE, 2012. 1–2. Print.