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

Search

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.

Citations

  • 2 2

    CrossRef

  • 0

    Web of Science

  • 3 4

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

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

seen 129 times

Recommended for you

Meta Tags