Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148900" target="_blank" >RIV/00216305:26220/23:PU148900 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10235895" target="_blank" >https://ieeexplore.ieee.org/document/10235895</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TAP.2023.3308587" target="_blank" >10.1109/TAP.2023.3308587</a>

Result language
angličtina
Original language name
Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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