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Abstract
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.
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Authors (4)
-
Qingsha Cheng
- Southern University of Science and Technology
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John Bandler
- McMaster University
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Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- International Applied Computational Electromagnetics Society Symposium strony 1 - 4
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Bekasiewicz A., Kozieł S., Cheng Q., Bandler J.: EM-Driven Multi-Objective Design of Impedance Transformers By Pareto Ranking Bisection Algorithm// International Applied Computational Electromagnetics Society Symposium/ : , 2017, s.1-4
- DOI:
- Digital Object Identifier (open in new tab) 10.1137/brak
- Verified by:
- Gdańsk University of Technology
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