Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm
Problemy fiziki, matematiki i tehniki, no. 1 (2025), pp. 58-63
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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.
@article{PFMT_2025_1_a8,
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},
pages = {58--63},
year = {2025},
number = {1},
language = {en},
url = {http://geodesic.mathdoc.fr/item/PFMT_2025_1_a8/}
}
TY - JOUR AU - P. V. Somov AU - A. L. Samofalov AU - Yu. V. Nikitjuk AU - S. A. Khakhomov AU - I. V. Semchenko AU - Dazhi Ding TI - Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm JO - Problemy fiziki, matematiki i tehniki PY - 2025 SP - 58 EP - 63 IS - 1 UR - http://geodesic.mathdoc.fr/item/PFMT_2025_1_a8/ LA - en ID - PFMT_2025_1_a8 ER -
%0 Journal Article %A P. V. Somov %A A. L. Samofalov %A Yu. V. Nikitjuk %A S. A. Khakhomov %A I. V. Semchenko %A Dazhi Ding %T Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm %J Problemy fiziki, matematiki i tehniki %D 2025 %P 58-63 %N 1 %U http://geodesic.mathdoc.fr/item/PFMT_2025_1_a8/ %G en %F PFMT_2025_1_a8
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/