VAK Russia 5.2.3
VAK Russia 5.2.4
VAK Russia 5.2.5
VAK Russia 5.2.6
VAK Russia 5.2.7
UDC 338
Purpose: to develop a method for determining the rational distribution of limited resources between innovative projects in the agro-industrial complex, characterized by the integrated use of metaheuristics inspired by the behavior of bats and fuzzy logic, which allows for improving the quality of decisions made, reducing the time required to find an acceptable resource allocation option, and increasing the overall economic impact of the project portfolio implementation. Methodology: The problem was formalized as a conditional multidimensional optimization with an objective function based on Cobb-Douglas production functions, for the solution of which a modified "bat" algorithm is proposed, in which the parameters of the volume and pulse velocity are determined using the Mamdani fuzzy inference system. Findings: During experimental testing using seven innovative agro-industrial projects and four types of distributed resources, the proposed method ensured a total return of 51,873 conventional monetary units under full resource utilization, exceeding the results of the basic "bat" algorithm by 8.9% and the particle swarm algorithm by 16.9%. Originality and contribution: a modification of the "bat" algorithm with adaptive control of free search parameter based on the Mamdani fuzzy system is proposed for resource allocation among innovative agricultural projects, including projects for the construction of agricultural storage infrastructure facilities. The developed method can be integrated into decision support systems for managing an enterprise's portfolio of innovative projects.
agro-industrial complex, innovative projects, vegetable storage facilities, resource allocation, "bat" algorithm, fuzzy logic, conditional multivariate optimization
1. Agroexpert 2025 Reyting regionov RF po urovnyu innovacionnosti v APK v 2025 godu Agroekspert
2. The Global Economy 2026 Dolya sel'skogo hozyaystva v ekonomike Rossii The Global Economy
3. Barkalov S.A., Moiseev S.I., Serebryakova E.A. 2023 Matematicheskaya model' optimal'nogo raspredeleniya resursov v stroitel'noy sfere v usloviyah ih deficita Vestnik YuUrGU. Seriya: Komp'yuternye tehnologii, upravlenie, radioelektronika (1): 89–99
4. Bulygina O.V., Dli M.I., Vorotilova M.Yu., Anisimov A.Yu. 2025 Obobschennyy podhod k postroeniyu nechetkih bioinspirirovannyh modeley dlya situacionnogo upravleniya proektami Prikladnaya informatika 20 (5(119)): 22–45 DOI:https://doi.org/10.37791/2687-0649-2025-20-5-22-45
5. Bulygina O.V., Yarcev D.D., Prokimnov N.N., Vereykina E.K. 2024 Napravleniya gibridizacii algoritmov roevogo intellekta i nechetkoy logiki dlya resheniya optimizacionnyh zadach v social'no-ekonomicheskih sistemah Prikladnaya informatika 19 (5(113)): 65–87 DOIhttps://doi.org/10.37791/2687-0649-2024-19-5-65-87
6. Bulygina O.V. 2025 Konstruirovanie ekonomiko-matematicheskih modeley mnogokriterial'noy optimizacii na osnove gibridnyh metaevristik Prikladnaya informatika 20 (3(117)): 66–84 DOI:https://doi.org/10.37791/2687-0649-2025-20-3-66-84
7. Dli M.I., Bulygina O.V., Malevich E.P., Yashin E.S. 2024 Instrumenty gosudarstvennogo upravleniya riskami innovacionnyh proektov importozamescheniya Putevoditel' predprinimatelya 17 (4): 103–109 DOI:https://doi.org/10.24182/2073-9885-2024-17-4-103-109
8. Dli M.I., Puchkov A.Yu., Prokimnov N.N., Okunev B.V. 2023 Nechetkologicheskaya model' mnogostadiynoy himiko-energotehnologicheskoy sistemy pererabotki melkodispersnogo rudnogo syr'ya Prikladnaya informatika 18 (3(105)): 92–104 DOI:https://doi.org/10.37791/2687-0649-2023-18-3-92-104
9. Dusakaeva S.T., Nosarev M.P., Hohlov I.A. 2023 Primenenie algoritma nechetkoy logiki Mamdani dlya ocenki kachestva modeley iskusstvennogo intellekta Vestnik OGU 1 (77): 170–180 DOI:https://doi.org/10.26731/1813-9108.2023.1(77).170-180
10. Kirillova E.A., Puchkov A.Yu., Minin V.S., Yarcev D.D. 2024 Neyro-nechetkaya model' resursnogo obespecheniya innovacionnoy deyatel'nosti promyshlennogo predpriyatiya Prikladnaya informatika 19 (5(113)): 126–142 DOIhttps://doi.org/10.37791/2687-0649-2024-19-5-126-142
11. Kureychik V.V., Kureychik V.M., Zinchenko L.A. 2011 Bionicheskie informacionnye sistemy i ih prakticheskie primeneniya M.: Fiziko-matematicheskaya literatura
12. Leonov M.E., Habarov V.I. 2023 Analiz primeneniya proektnyh tehnologiy pri realizacii nacional'nyh proektov Sovremennaya konkurenciya 17 (4(94)): 39–49 DOI:https://doi.org/10.37791/2687-0657-2023-17-4-39-49
13. Lyabah N.N., Denisov A.V. 2009 Algoritmicheskoe, matematicheskoe, informacionnoe obespechenie formirovaniya portfelya innovacionnyh proektov Izvestiya vysshih uchebnyh zavedeniy. Severo-Kavkazskiy region. Tehnicheskie nauki 1 (149): 36–42
14. Rossel'hozbank 2025 Reyting innovacionnosti regionov Rossiyskoy Federacii v APK Agrobit
15. Rossel'hozbank, Fond «Skolkovo» 2024 Reyting innovacionnosti regionov Rossiyskoy Federacii v APK — 2024 M.: Rossel'hozbank, Fond «Skolkovo»
16. TASS 2025 Material ob innovacionnosti regionov i razvitii APK TASS. Ekonomika
17. Yusim V.N. i dr. 2016 Proizvodstvennaya funkciya Kobba–Duglasa i upravlenie ekonomiko-tehnologicheskim razvitiem Vestnik REA (3): 24–35.
18. Yarcev D.D., Vorotilova M.Yu., Mordvin S.V. 2026 Nechetkiy metaevristicheskiy metod raspredeleniya sotrudnikov po zadacham proekta Izvestiya Kabardino-Balkarskogo nauchnogo centra RAN 28 (1): 175–187 DOI:https://doi.org/10.35330/1991-6639-2026-28-1-175-187
