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Modeling of simultaneous investment, production and financial planning of the electronics industry's innovative development

Vol. 30, Iss. 9, SEPTEMBER 2024

Received: 29 April 2024

Received in revised form: 13 May 2024

Accepted: 27 May 2024

Available online: 30 September 2024

Subject Heading: INVESTING

JEL Classification: C63, E17, O21, O36

Pages: 2051-2070

https://doi.org/10.24891/fc.30.9.2051

Sergei N. YASHIN National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
jashinsn@yandex.ru

https://orcid.org/0000-0002-7182-2808

Egor V. KOSHELEV National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
ekoshelev@yandex.ru

https://orcid.org/0000-0001-5290-7913

Aleksei A. IVANOV National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
alexey.iff@yandex.ru

https://orcid.org/0000-0003-4299-4042

Subject. This article discusses the issues related to the planning of programmes for the innovative development of the electronics industry.
Objectives. The article aims to study the modeling of simultaneous investment, production and financial planning of programmes for the innovative development of the electronics industry.
Results. The article presents the author-developed methodology for modeling simultaneous investment, production and financial planning of programmes for the innovative development of the electronics industry.
Conclusions and Relevance. The use of a three-objective genetic algorithm to simulate simultaneous investment, production and financial planning of programmes for the innovative development of the electronics industry helps get a sufficiently detailed idea of the prospects for the development of regions with this industry. The results obtained can be useful to government agencies and private investors for investment, production and financial planning of the innovative development of the electronics industry.

Keywords: radio electronics industry, multi-objective genetic algorithm, simulated annealing, pattern search

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