Numerical and experimental generated data during project https://doi.org/10.1109/TAP.2024.3370296 - Open Research Data - Bridge of Knowledge

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Numerical and experimental generated data during project https://doi.org/10.1109/TAP.2024.3370296

Description

The dataset was generated using a procedure for efficient global optimization (EGO) of multiband antennas, where the surrogate is repeatedly built and refined using custom-defined response features. The infill criteria are based on minimizing a surrogate-evaluated objective function, whereas the underlying optimization engine is the particle swarm optimization algorithm (PSO). Comprehensive benchmarking demonstrates the superiority of the presented approach over surrogate-assisted methods handling antenna frequency responses, as well as direct nature-inspired optimization.

Dataset file

metadata_p19_complete.pdf
17.3 kB, S3 ETag bd5faaffb6c81bf7b09b234815144a34-1, downloads: 0
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hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2025
Verification date:
2025-03-17
Dataset language:
English
DOI:
DOI ID 10.34808/jkz5-v852 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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