Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198321" target="_blank" >RIV/00216305:26220/26:0198321 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11074263" target="_blank" >https://ieeexplore.ieee.org/document/11074263</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TAP.2025.3584518" target="_blank" >10.1109/TAP.2025.3584518</a>
Alternative languages
Result language
angličtina
Original language name
Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design
Original language description
This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The result is a significant increase in the optimization speed and quality of the resulting Pareto front as compared to conventional state-of-the-art automated inverse design techniques. This advancement is possible thanks to a memetic algorithm combining a gradient-based search for local minima with heuristic optimization to maintain sufficient diversity. The local algorithm is based on rank-1 perturbations; the global algorithm is NSGA-II. An important advancement is the adaptive weighting of objective functions during optimization. The procedure is tested on four challenging examples dealing with both physical and topological metrics and multi-objective settings. The results are compared with standard techniques, and the superb performance of the proposed technique is reported. The implemented algorithm applies to antenna inverse design problems and is an efficient data miner for machine learning tools.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
2026
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
ISSN
0018-926X
e-ISSN
1558-2221
Volume of the periodical
74
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
9-24
UT code for WoS article
001669225000016
EID of the result in the Scopus database
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