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ČAPEK, M. JELÍNEK, L. KADLEC, P. GUSTAFSSON, M.
Originální název
Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Antennas, numerical methods, optimization methods, shape sensitivity analysis, structural topology design, inverse design
Autoři
ČAPEK, M.; JELÍNEK, L.; KADLEC, P.; GUSTAFSSON, M.
Vydáno
30. 8. 2023
Nakladatel
IEEE Press
Místo
Piscataway, NJ, USA
ISSN
1558-2221
Periodikum
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Ročník
71
Číslo
11
Stát
Spojené státy americké
Strany od
8806
Strany do
8816
Strany počet
URL
https://ieeexplore.ieee.org/document/10235895
BibTex
@article{BUT184478, author="Miloslav {Čapek} and Lukáš {Jelínek} and Petr {Kadlec} and Mats {Gustafsson}", title="Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation", journal="IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION", year="2023", volume="71", number="11", pages="8806--8816", doi="10.1109/TAP.2023.3308587", issn="1558-2221", url="https://ieeexplore.ieee.org/document/10235895" }