A Low-Cost ANN Surrogate-Based Multi-Objective Optimization Method for Designing UWB Antennas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198004" target="_blank" >RIV/00216305:26220/26:0198004 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11008382a" target="_blank" >https://ieeexplore.ieee.org/document/11008382a</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008382" target="_blank" >10.1109/RADIOELEKTRONIKA65656.2025.11008382</a>
Alternative languages
Result language
angličtina
Original language name
A Low-Cost ANN Surrogate-Based Multi-Objective Optimization Method for Designing UWB Antennas
Original language description
The design of antennas is a complex challenge that requires the simultaneous optimization of multiple performance metrics. Engineers must make tradeoffs between technical specifications, cost constraints, and practical implementation. This study investigates the application of multi-objective optimization techniques for the automated design and synthesis of ultra-wideband (UWB) monopole antenna systems. Specifically, it explores the balance between impedance matching and antenna miniaturization, ensuring optimal performance while minimizing physical footprint. The research leverages computational methods, incorporating Artificial Neural Network (ANN) surrogates trained on high-fidelity electromagnetic simulations to accelerate optimization. By integrating ANN-based surrogate modeling with evolutionary algorithms, this approach enhances computational efficiency and facilitates the rapid exploration of Pareto-optimal solutions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding of the 35th International Conference Radioelektronika (RADIOELEKTRONIKA)
ISBN
979-8-3315-4447-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Hnanice, Czech republic
Event location
Hnanice
Event date
May 12, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001509603700010