EM-driven multi-objective design of impedance transformers by pareto ranking bisection algorithm

Bekasiewicz，Adrian1,2; Koziel，Slawomir1,2; Cheng，Qingsha S.3; Bandler，J. W.4

2017-09-26

978-1-5090-4311-8

2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017

1-2

1-4 Aug. 2017

Suzhou, China

Institute of Electrical and Electronics Engineers Inc.

In the paper, the problem of fast multi-objective optimization of compact impedance matching transformers is addressed by utilizing a novel Pareto ranking bisection algorithm. It approximates the Pareto front by dividing line segments connecting the designs found in the previous iterations, and refining the obtained candidate solutions by means of poll-type search involving Pareto ranking. The final Pareto set is obtained using surrogate-based optimization techniques. Our approach is validated using a compact impedance matching transformer and compared to state-of-the-art surrogate-assisted techniques.

Bisection algorithm compact impedance transformers EM-driven design multi-objective optimization

其他

英语

EI

Icelandic Centre for Research[174114051]

20174504375991

Computational electromagnetics ; Impedance matching (electric)

Electricity and Magnetism:701 ; Optimization Techniques:921.5

2-s2.0-85032825885

Scopus

1.School of Science and Engineering,Reykjavik University,Reykjavik,Iceland
2.Faculty of Electronics,Telecommunications and Informatics,Gdansk University of Technology,Gdansk,Poland
3.Dept. Electrical and Electronic Eng.,Southern University of Science and Technology,Shenzhen,China
4.Department of Electrical and Computer Engineering,McMaster University,Hamilton,Canada

Bekasiewicz，Adrian,Koziel，Slawomir,Cheng，Qingsha S.,et al. EM-driven multi-objective design of impedance transformers by pareto ranking bisection algorithm[C]:Institute of Electrical and Electronics Engineers Inc.,2017:1-2.