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.

References

M. Cariou, B. Potelon, C. Quendo, E. Schlaffer, W. Pessl, and A. Le Fevre, “Compact X-band filter based on substrate integrated coaxial line stubs using advanced multilayer PCB technology,” IEEE Trans. Microwave Theory Techn., vol. 65, no. 2, pp. 496-503, 2017.

S. Koziel, A. Bekasiewicz, and P. Kurgan, “Rapid multi-objective simulation-driven design of compact microwave circuits,” IEEE Microwave Wireless Comp. Letters, vol. 25, no. 5, pp. 277-279, 2015.

J. Zhang, C. Zhang, F. Feng, W. Zhang, J. Ma, and Q. J. Zhang, “Polynomial chaos-based approach to yield-driven EM optimization,” IEEE Trans. Microwave Theory Tech., vol. 66, no. 7, pp. 3186-3199, 2018.

S. K. Goudos and J. N. Sahalos, “Pareto optimal microwave filter design using multiobjective differential evolution,” IEEE Trans. Ant. Prop., vol. 58, no. 1, pp. 132-144, 2010.

S. Koziel and A. Pietrenko-Dabrowska, “Performance-based nested surrogate modeling of antenna input characteristics,” IEEE Trans. Ant. Prop., vol. 67, no. 5, pp. 2904-2912, 2019.

T. W. Simpson, J. D. Pelplinski, P. N. Koch, and J. K. Allen, “Metamodels for computer-based engineering design: Survey and recommendations,” Eng. with Computers, vol. 17, pp. 129-150, 2001.

S. Koziel and A. Bekasiewicz, “Rapid simulation-driven multi-objective design optimization of decomposable compact microwave passives,” IEEE Trans. Microwave Theory Techn., vol. 64, pp. 2454-2461, 2016

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Published

2020-11-07

How to Cite

Anna Pietrenko-Dabrowska, & Slawomir Koziel. (2020). Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components. The Applied Computational Electromagnetics Society Journal (ACES), 35(11), 1344–1345. Retrieved from https://journals.riverpublishers.com/index.php/ACES/article/view/7541

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