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Gdańsk University of Technology

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Low-cost multi-objective optimization of antennas using Pareto front exploration and response features

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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Additional information

DOI
Digital Object Identifier link open in new tab 10.1109/aps.2016.7695994
Category
Aktywność konferencyjna
Type
materiały konferencyjne indeksowane w Web of Science
Language
angielski
Publication year
2016

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