Fast simulation-driven antenna design using response-feature surrogates
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2014/11/06
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Indian UGC (journal)
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Refrences37
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Citations101
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Slawomir Koziel Engineering Optimization and Modeling Center; Reykjavik University; Menntavegur 1 101 Reykjavik Iceland
Cite
Koziel, Slawomir. “Fast Simulation-Driven Antenna Design Using Response-Feature Surrogates”. International Journal of RF and Microwave Computer-Aided Engineering, vol. 25, no. 5, 2014, pp. 394-02, https://doi.org/10.1002/mmce.20873.
Koziel, S. (2014). Fast simulation-driven antenna design using response-feature surrogates. International Journal of RF and Microwave Computer-Aided Engineering, 25(5), 394-402. https://doi.org/10.1002/mmce.20873
Koziel, Slawomir. “Fast Simulation-Driven Antenna Design Using Response-Feature Surrogates”. International Journal of RF and Microwave Computer-Aided Engineering 25, no. 5 (2014): 394-402. https://doi.org/10.1002/mmce.20873.
Koziel S. Fast simulation-driven antenna design using response-feature surrogates. International Journal of RF and Microwave Computer-Aided Engineering. 2014;25(5):394-402.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Response correction techniques for surrogate-based design optimization of microwave structures | International Journal of RF and Microwave Computer-Aided Engineering |
| 4 | 2012 |
| Robust microwave design optimization using adjoint sensitivity and trust regions | International Journal of RF and Microwave Computer-Aided Engineering |
| 50 | 2012 |
| Demystifying surrogate modeling for circuits and systems | 2012 | |||
| Gradient-based shape optimisation of conformal array antennas | IET Microwaves, Antennas & Propagation |
| 5 | 2010 |
| Space mapping with adaptive response correction for microwave design optimization | IEEE Transactions on Microwave Theory and Techniques |
| 2009 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 10
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Antennas and Propagation. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Model management for low-computational-budget simulation-based optimization of antenna structures using nature-inspired algorithms | Applied Soft Computing |
| 2024 | |
| Low-cost and precise automated re-design of antenna structures using interleaved geometry scaling and gradient-based optimization | Knowledge-Based Systems |
| 2024 | |
Machine-learning-based global optimization of microwave passives with variable-fidelity EM models and response features | Scientific Reports |
| 2024 | |
| Novel FEM-Based Simulation-Inserted Optimization Algorithm Using Improved Complex Newton’s Method for EM Design | IEEE Microwave and Wireless Technology Letters |
| 2024 | |
| Fast and Automatic Parametric Model Construction of Antenna Structures Using CNN–LSTM Networks | IEEE Transactions on Antennas and Propagation |
| 2024 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 72
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Optimization-Driven Antenna Design Framework With Multiple Performance Constraints and was published in 2017. The most recent citation comes from a 2024 study titled Machine-learning-based global optimization of microwave passives with variable-fidelity EM models and response features. This article reached its peak citation in 2020, with 24 citations. It has been cited in 20 different journals, 30% of which are open access. Among related journals, the IEEE Transactions on Antennas and Propagation cited this research the most, with 15 citations. The chart below illustrates the annual citation trends for this article.