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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 proceedingConference contributionResearchpeer-review

Harvard

Никифоров, КА, Рудович, КВ, Иордан, АА, Вековцев, ВВ & Егоров, НВ 2025, Digital model with genetic algorithm for field emission UV-source development. in 2024 International Conference on Computer and Applications (ICCA)., 10928003, Institute of Electrical and Electronics Engineers Inc., 2024 International Conference on Computer and Applications (ICCA), Каир, Egypt, 17/12/24. https://doi.org/10.1109/icca62237.2024.10928003

APA

Никифоров, К. А., Рудович, К. В., Иордан, А. А., Вековцев, В. В., & Егоров, Н. В. (2025). Digital model with genetic algorithm for field emission UV-source development. In 2024 International Conference on Computer and Applications (ICCA) [10928003] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icca62237.2024.10928003

Vancouver

Никифоров КА, Рудович КВ, Иордан АА, Вековцев ВВ, Егоров НВ. Digital model with genetic algorithm for field emission UV-source development. In 2024 International Conference on Computer and Applications (ICCA). Institute of Electrical and Electronics Engineers Inc. 2025. 10928003 https://doi.org/10.1109/icca62237.2024.10928003

Author

BibTeX

@inproceedings{77edc9ecb9b24fdd823078415b74ab7b,
title = "Digital model with genetic algorithm for field emission UV-source development",
abstract = "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.",
keywords = "COMSOL, digital model, electron-optical system, field emission cathode, genetic algorithm implementation",
author = "Никифоров, {Константин Аркадьевич} and Рудович, {Кирилл Владимирович} and Иордан, {Андрей Алексеевич} and Вековцев, {Вячеслав Владиславович} and Егоров, {Николай Васильевич}",
year = "2025",
month = mar,
day = "26",
doi = "10.1109/icca62237.2024.10928003",
language = "English",
isbn = "979-8-3503-6757-7",
booktitle = "2024 International Conference on Computer and Applications (ICCA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "null ; Conference date: 17-12-2024 Through 19-12-2024",
url = "https://icca-conf.info/icca-2024-1",

}

RIS

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