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Expedited Multi-Objective Design Optimization of Miniaturized Microwave Structures Using Physics-Based Surrogates
Abstract
In this paper, a methodology for fast multi-objective design optimization of compact microwave circuits is presented. Our approach exploits an equivalent circuit model of the structure under consideration, corrected through implicit and frequency space mapping, then optimized by a multi-objective evolutionary algorithm. The correction/optimization of the surrogate is iterated by design space confinement and segmentation based on a Pareto set representation obtained thus far in the process, aiming at improving the surrogate model in the vicinity of the Pareto-optimal solutions. Our technique is demonstrated by the design of a folded rat-race coupler.
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Authors (4)
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Adrian Bekasiewicz
- Reykjavik University School of Science and Engineering
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John W. Bandler
- McMaster University Department of Electrical and Computer Engineering
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Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 2015 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS) strony 1 - 3
- ISSN:
- 0149-645X
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Kozieł S., Bekasiewicz A., Kurgan P., Bandler J..: Expedited Multi-Objective Design Optimization of Miniaturized Microwave Structures Using Physics-Based Surrogates, W: 2015 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2015, IEEE,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/mwsym.2015.7166738
- Verified by:
- Gdańsk University of Technology
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