Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components

Authors

  • Anna Pietrenko-Dabrowska Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland
  • Slawomir Koziel Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland 2 School of Science and Engineering, Reykjavik University, Reykjavik, Iceland,

Keywords:

Microwave optimization, multi-objective design, simulation-driven design, surrogate modelling

Abstract

A procedure for rapid EM-based multi-objective optimization of compact microwave components is presented. Our methodology employs a recently developed nested kriging modelling to identify the search space region containing the Pareto-optimal designs, and to construct a fast surrogate model. The latter permits determination of the initial Pareto set, further refined using a separate surrogate-assisted process. As an illustration, a three-section impedance transformer is designed for the best matching and minimum size. The set of trade-off designs is produced at the low computational cost of only a few hundred of high-fidelity EM simulations of the transformer circuit despite a large number of its geometry parameters.

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References

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Published

2020-11-07

How to Cite

[1]
Anna Pietrenko-Dabrowska and Slawomir Koziel, “Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components”, ACES Journal, vol. 35, no. 11, pp. 1344–1345, Nov. 2020.

Issue

2020: Vol 35 Iss 11

Section

General Submission