Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm
Problemy fiziki, matematiki i tehniki, no. 1 (2025), pp. 58-63.

Voir la notice de l'article provenant de la source Math-Net.Ru

To predict the characteristics of the metamaterial-phase-manipulator, the optimization of the relevant parameters of such a device was carried out using an artificial neural network and a genetic algorithm. It is shown that the relative error in determining the values of the investigated parameters did not exceed 1% compared to the values calculated by the finite element method.
Keywords: metamaterial, phase manipulator, planar spiral, artificial neural networks, genetic algorithms.
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     author = {P. V. Somov and A. L. Samofalov and Yu. V. Nikitjuk and S. A. Khakhomov and I. V. Semchenko and Dazhi Ding},
     title = {Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm},
     journal = {Problemy fiziki, matematiki i tehniki},
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     year = {2025},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2025_1_a8/}
}
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P. V. Somov; A. L. Samofalov; Yu. V. Nikitjuk; S. A. Khakhomov; I. V. Semchenko; Dazhi Ding. Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm. Problemy fiziki, matematiki i tehniki, no. 1 (2025), pp. 58-63. http://geodesic.mathdoc.fr/item/PFMT_2025_1_a8/