dc.contributor.author | Tarı, Özlem | en_US |
dc.contributor.author | Aysu, Belen | en_US |
dc.contributor.author | Mahouti, Peyman | en_US |
dc.contributor.author | Belen, Mehmet Ali | en_US |
dc.date.accessioned | 2021-10-15T14:46:20Z | |
dc.date.available | 2021-10-15T14:46:20Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.citation | Tari, O., Belen, A., Mahouti, P., & Belen, M. A. (2021, August). Surrogate Based Design Optimization of Multi-Band Antenna. In 2021 International Applied Computational Electromagnetics Society Symposium (ACES) (pp. 1-4). IEEE. | en_US |
dc.identifier.isbn | 978-173350962-6 | |
dc.identifier.uri | https://doi.org/10.1109/ACES53325.2021.00163 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12294/2874 | |
dc.description.abstract | In this work, design optimization process of a multiband antenna via the use of Artificial Neural Network (ANN) based surrogate model and meta-heuristic optimizers is studied. For this mean firstly, by using Latin-Hyper cube sampling method a data set based on 3D full wave EM simulator is generated to train an ANN based model. By using the ANN based surrogate model and a meta-heuristic optimizer Invasive Weed Optimization (IWO), design optimization of a multi-band antenna for (I) 2.4-3.6 GHz for ISM, LTE, and 5G sub frequencies, (II) 9-10 GHz for X band applications is aimed. Then the obtained results are compared with the simulated results of 3D EM simulation tool CST. Results show, that the proposed methodology provides a computationally efficient design optimization process for design optimization of multi-band antennas. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021 | en_US |
dc.identifier.doi | 10.1109/ACES53325.2021.00163 | en_US |
dc.identifier.doi | 10.1109/ACES53325.2021.00163 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | Multi-Band Antenna Optimization | en_US |
dc.subject | Surrogate Modeling | en_US |
dc.title | Surrogate Based Design Optimization of Multi-Band Antenna | en_US |
dc.type | other | en_US |
dc.department | Fen-Edebiyat Fakültesi, Matematik-Bilgisayar Bölümü | en_US |
dc.authorid | 0000-0001-7127-5915 | en_US |
dc.relation.publicationcategory | Diğer | en_US |