Optimization of the distribution of limited water resources by methods of evolutionary genetic programming

Lyudmila Kireicheva; Dmitry Rogachev; Irina Yurchenko; Alexey Rogachev

doi:10.55186/25876740_2024_67_2_233

VAK Russia 5.2.6 UDC 631

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OPTIMIZATION OF THE DISTRIBUTION OF LIMITED WATER RESOURCES BY METHODS OF EVOLUTIONARY GENETIC PROGRAMMING Optimization of the distribution of limited water resources by methods of evolutionary genetic programming

АА Аа

Published in INTERNATIONAL AGRICULTURAL JOURNAL · Issue 2 · Pages 233–238 · Rubric: Scientific support and management of agrarian and industrial complex

DOI: https://doi.org/10.55186/25876740_2024_67_2_233

Received: 09.11.2023 Accepted: 19.12.2023 Published: 14.04.2024

Authors

Lyudmila Kireicheva

ORCID

Dmitry Rogachev

ORCID

Irina Yurchenko

ORCID

Alexey Rogachev

ORCID

Lyudmila Kireicheva

Academic degree: doctor of technical sciences

Science rang: professor

All-Russian Scientific Research Institute of Hydraulic Engineering and Land Reclamation named after A.N. Kostyakov Russian Federation · Moscow

ORCID

Dmitry Rogachev

Academic degree: candidate of technical sciences

All-Russian Scientific Research Institute of Hydraulic Engineering and Land Reclamation named after A.N. Kostyakov leading researcher · Russian Federation · Moscow

ORCID

Irina Yurchenko

Academic degree: doctor of technical sciences

Science rang: docent

All-Russian Scientific Research Institute of Hydraulic Engineering and Land Reclamation named after A.N. Kostyakov Chief Scientific Officer · Russian Federation · Moscow

ORCID

Alexey Rogachev

Academic degree: doctor of technical sciences

Science rang: professor

Volgograd State Agrarian University Russian Federation · Volgograd

ORCID

ABSTRACT

The purpose of this work is to improve the system of water distribution for irrigation in conditions of water scarcity on the basis of multi-criteria optimization by the method of evolutionary genetic programming. The methodological basis of the research was the information -analytical approach; optimization modeling; artificial intelligence methods (genetic algorithms of evolutionary programming). A universal multi-criteria, nonlinear optimization objective function has been developed and tested, including criteria for the effectiveness of the operational organization and water user farms. These include: the maximum area of irrigated land, the income of the water management organization and the gross volume (in monetary terms) of crop production from irrigated land. The scientific and methodological directions of the use of genetic algorithms in the optimization of the distribution of limited water resources on inter-farm irrigation systems are considered. The possibility and effectiveness of using a genetic algorithm to optimize a multi-criteria objective function is established. Choosing a solution based on the indicators of multiple imitations of competition and improvements increases the scale of a complex solution search space and, as a result, universality allows you to get results when traditional methods do not work or their implementation requires an unacceptably long time. Testing of the developed model, carried out on the data of the Gorodishchenskaya irrigation system of the Volgograd region, revealed a projected increase in the effectiveness of the management decision by 10% in comparison with the traditionally practiced approach. The result is achieved by improving the quality of planning and management of water distribution in conditions of water scarcity on the basis of information support of decisions by innovative methods of management theory: multi-criteria modeling using genetic programming based on artificial intelligence methods.

KEYWORDS

inter-farm irrigation system, multi-criteria optimization of water distribution, economic and mathematical modeling, artificial intelligence, evolutionary genetic programming

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Editor-in-Chief

Aleksandr Fomin

Deputy Editor-in-Chief

Irina Mamontova

Managing Editor

Tat'yana V. Kazennova

Issue Editor

Gilyana Yakushkina

Literary Editor

Marina G. Fomina

Editorial

Redakcii Sotrudnik

info@mshj.ru

2015

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GOST

Kireicheva L. V., Rogachev D. A., Yurchenko I. F., Rogachev A. F. Optimization of the distribution of limited water resources by methods of evolutionary genetic programming // INTERNATIONAL AGRICULTURAL JOURNAL. 2026. no. 2. pp. 233-238. DOI: https://doi.org/10.55186/25876740_2024_67_2_233. (Date of access 01.11.2026).

MLA

Lyudmila Kireicheva, Rogachev D. A., Yurchenko I. F., Rogachev A. F.. "Optimization of the distribution of limited water resources by methods of evolutionary genetic programming." INTERNATIONAL AGRICULTURAL JOURNAL.2 (2026): 233-238. DOI: https://doi.org/10.55186/25876740_2024_67_2_233.

APA

Kireicheva L. V., Rogachev D. A., Yurchenko I. F., Rogachev A. F. (2026). Optimization of the distribution of limited water resources by methods of evolutionary genetic programming. INTERNATIONAL AGRICULTURAL JOURNAL(2), 233-238. https://doi.org/10.55186/25876740_2024_67_2_233

Chicago

Lyudmila Kireicheva, Rogachev D. A., Yurchenko I. F., Rogachev A. F.. "Optimization of the distribution of limited water resources by methods of evolutionary genetic programming." INTERNATIONAL AGRICULTURAL JOURNAL, no. 2 (2026): 233-238. https://doi.org/10.55186/25876740_2024_67_2_233.

WIKI

{{cite journal | author = Kireicheva L. V., Rogachev D. A., Yurchenko I. F., Rogachev A. F. | title = Optimization of the distribution of limited water resources by methods of evolutionary genetic programming | journal = INTERNATIONAL AGRICULTURAL JOURNAL | year = 2026 | issue = 2 | pages = 233-238 | doi = 10.55186/25876740_2024_67_2_233 }}

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OPTIMIZATION OF THE DISTRIBUTION OF LIMITED WATER RESOURCES BY METHODS OF EVOLUTIONARY GENETIC PROGRAMMING Optimization of the distribution of limited water resources by methods of evolutionary genetic programming

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