Optimal Inverse Design Based on Memetic Algorithms - Part 1 : Theory and Implementation
(2023) In IEEE Transactions on Antennas and Propagation 71(11). p.8806-8816- Abstract
A memetic framework for optimal inverse design is proposed by combining a local gradient-based procedure and a robust global scheme. The procedure is based on method-of-moments matrices and does not demand full inversion of a system matrix. Fundamental bounds are evaluated for all optimized metrics in the same manner, providing natural stopping criteria and quality measures for realized devices. Compared to density-based topology optimization, the proposed routine does not require filtering or thresholding. Compared to commonly used heuristics, the technique is significantly faster, still preserving a high level of versatility and robustness. This is a two-part paper in which the first part is devoted to the theoretical background and... (More)
A memetic framework for optimal inverse design is proposed by combining a local gradient-based procedure and a robust global scheme. The procedure is based on method-of-moments matrices and does not demand full inversion of a system matrix. Fundamental bounds are evaluated for all optimized metrics in the same manner, providing natural stopping criteria and quality measures for realized devices. Compared to density-based topology optimization, the proposed routine does not require filtering or thresholding. Compared to commonly used heuristics, the technique is significantly faster, still preserving a high level of versatility and robustness. This is a two-part paper in which the first part is devoted to the theoretical background and properties, and the second part applies the method to examples of varying complexity.
(Less)
- author
- Capek, Miloslav LU ; Jelinek, Lukas ; Kadlec, Petr and Gustafsson, Mats LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Antennas, inverse design, numerical methods, optimization methods, shape sensitivity analysis, structural topology design
- in
- IEEE Transactions on Antennas and Propagation
- volume
- 71
- issue
- 11
- pages
- 8806 - 8816
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85169700469
- ISSN
- 0018-926X
- DOI
- 10.1109/TAP.2023.3308587
- language
- English
- LU publication?
- yes
- id
- 74173a39-6c8f-425d-825f-037b6d59966e
- date added to LUP
- 2023-11-06 14:58:12
- date last changed
- 2024-01-09 15:45:13
@article{74173a39-6c8f-425d-825f-037b6d59966e, abstract = {{<p>A memetic framework for optimal inverse design is proposed by combining a local gradient-based procedure and a robust global scheme. The procedure is based on method-of-moments matrices and does not demand full inversion of a system matrix. Fundamental bounds are evaluated for all optimized metrics in the same manner, providing natural stopping criteria and quality measures for realized devices. Compared to density-based topology optimization, the proposed routine does not require filtering or thresholding. Compared to commonly used heuristics, the technique is significantly faster, still preserving a high level of versatility and robustness. This is a two-part paper in which the first part is devoted to the theoretical background and properties, and the second part applies the method to examples of varying complexity.</p>}}, author = {{Capek, Miloslav and Jelinek, Lukas and Kadlec, Petr and Gustafsson, Mats}}, issn = {{0018-926X}}, keywords = {{Antennas; inverse design; numerical methods; optimization methods; shape sensitivity analysis; structural topology design}}, language = {{eng}}, number = {{11}}, pages = {{8806--8816}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Antennas and Propagation}}, title = {{Optimal Inverse Design Based on Memetic Algorithms - Part 1 : Theory and Implementation}}, url = {{http://dx.doi.org/10.1109/TAP.2023.3308587}}, doi = {{10.1109/TAP.2023.3308587}}, volume = {{71}}, year = {{2023}}, }