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Low-cost multi-objective optimization of antennas using Pareto front exploration and response features
Abstract
In the paper, a procedure for low-cost multi-objective optimization of antenna structures is presented. Our approach is based on exploration of the Pareto front representing the best possible trade-offs between conflicting objectives, here, the structure size and its electrical performance. Starting from the design representing the best in-band reflection level, subsequent Pareto-optimal designs are identified through local constrained optimization aimed at reducing the structure size while maintaining the prescribed thresholds concerning the reflection response. For the sake of computational efficiency, variable-fidelity EM simulation models and feature-based optimization algorithm is utilized. The proposed methodology is demonstrated using a compact UWB monopole antenna.
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Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- IEEE International Symposium on Antennas and Propagation strony 1 - 2
- ISSN:
- 1947-1491
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Kozieł S., Bekasiewicz A..: Low-cost multi-objective optimization of antennas using Pareto front exploration and response features, W: IEEE International Symposium on Antennas and Propagation, 2016, IEEE,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/aps.2016.7695994
- Verified by:
- Gdańsk University of Technology
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