Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Digital model with genetic algorithm for field emission UV-source development. / Никифоров, Константин Аркадьевич; Рудович, Кирилл Владимирович; Иордан, Андрей Алексеевич; Вековцев, Вячеслав Владиславович; Егоров, Николай Васильевич.
2024 International Conference on Computer and Applications (ICCA). Institute of Electrical and Electronics Engineers Inc., 2025. 10928003.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Digital model with genetic algorithm for field emission UV-source development
AU - Никифоров, Константин Аркадьевич
AU - Рудович, Кирилл Владимирович
AU - Иордан, Андрей Алексеевич
AU - Вековцев, Вячеслав Владиславович
AU - Егоров, Николай Васильевич
PY - 2025/3/26
Y1 - 2025/3/26
N2 - This paper discusses the process of organizing calculations in a digital model using a genetic algorithm for field emission UV-source development. The work consists of three key sections. The first section presents digital model to simulate corresponding field emission electron-optical system. Software implementation of computing modules was carried out in COMSOL environment. The second section reveals in detail the essence of the genetic algorithm, its fundamental principles and mechanisms of functioning with integration into a single structure of the digital model. The third section presents the results obtained using a digital model with genetic algorithm. This approach allows us to better understand the principles of the genetic algorithm and assess its potential for use in a digital model.
AB - This paper discusses the process of organizing calculations in a digital model using a genetic algorithm for field emission UV-source development. The work consists of three key sections. The first section presents digital model to simulate corresponding field emission electron-optical system. Software implementation of computing modules was carried out in COMSOL environment. The second section reveals in detail the essence of the genetic algorithm, its fundamental principles and mechanisms of functioning with integration into a single structure of the digital model. The third section presents the results obtained using a digital model with genetic algorithm. This approach allows us to better understand the principles of the genetic algorithm and assess its potential for use in a digital model.
KW - COMSOL
KW - digital model
KW - electron-optical system
KW - field emission cathode
KW - genetic algorithm implementation
UR - https://ieeexplore.ieee.org/document/10928003
UR - https://www.mendeley.com/catalogue/871ea0a3-7ae0-3a0e-b5a9-0f632ef65d27/
U2 - 10.1109/icca62237.2024.10928003
DO - 10.1109/icca62237.2024.10928003
M3 - Conference contribution
SN - 979-8-3503-6757-7
BT - 2024 International Conference on Computer and Applications (ICCA)
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 December 2024 through 19 December 2024
ER -
ID: 134343926