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<article article-type="research-article" dtd-version="1.3" xml:lang="ru" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="https://metafora.rcsi.science/xsd_files/journal3.xsd">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">moitvivt</journal-id>
      <journal-title-group>
        <journal-title xml:lang="ru">Моделирование, оптимизация и информационные технологии</journal-title>
        <trans-title-group xml:lang="en">
          <trans-title>Modeling, Optimization and Information Technology</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2310-6018</issn>
      <publisher>
        <publisher-name>Издательство</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.26102/2310-6018/2026.56.5.005</article-id>
      <article-id pub-id-type="custom" custom-type="elpub">2245</article-id>
      <title-group>
        <article-title xml:lang="ru">Формализация механизмов трансформации параметров и минимизация совокупных издержек трансфера в разнородных средах</article-title>
        <trans-title-group xml:lang="en">
          <trans-title>Formalization of parameter transformation mechanisms and minimization of aggregate transfer costs in heterogeneous environments</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Тихоненко</surname>
              <given-names>Дмитрий Васильевич</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Tikhonenko</surname>
              <given-names>Dmitry Vasilyevich</given-names>
            </name>
          </name-alternatives>
          <email>tikhonenk_d@mail.ru</email>
          <xref ref-type="aff">aff-1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Козлова</surname>
              <given-names>Анастасия Васильевна</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Kozlova</surname>
              <given-names>Anastasia Vasilyevna</given-names>
            </name>
          </name-alternatives>
          <email>ankoz9@yandex.ru</email>
          <xref ref-type="aff">aff-2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Алмазова</surname>
              <given-names>Екатерина Сергеевна</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Almazova</surname>
              <given-names>Ekaterina Sergeyevna</given-names>
            </name>
          </name-alternatives>
          <email>voln92@gmail.com</email>
          <xref ref-type="aff">aff-3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Панченко</surname>
              <given-names>Вероника Юрьевна</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Panchenko</surname>
              <given-names>Veronika Yuryevna</given-names>
            </name>
          </name-alternatives>
          <email>moptimo@mail.ru</email>
          <xref ref-type="aff">aff-4</xref>
        </contrib>
      </contrib-group>
      <aff-alternatives id="aff-1">
        <aff xml:lang="ru">Сибирский государственный университет науки и технологий имени академика М.Ф. Решетнева</aff>
        <aff xml:lang="en">Reshetnev Siberian State University of Science and Technology</aff>
      </aff-alternatives>
      <aff-alternatives id="aff-2">
        <aff xml:lang="ru">Сибирский государственный университет науки и технологий имени академика М.Ф. Решетнева</aff>
        <aff xml:lang="en">Reshetnev Siberian State University of Science and Technology</aff>
      </aff-alternatives>
      <aff-alternatives id="aff-3">
        <aff xml:lang="ru">Сибирский государственный университет науки и технологий имени академика М.Ф. Решетнева</aff>
        <aff xml:lang="en">Reshetnev Siberian State University of Science and Technology</aff>
      </aff-alternatives>
      <aff-alternatives id="aff-4">
        <aff xml:lang="ru">Сибирский государственный университет науки и технологий имени академика М.Ф. Решетнева</aff>
        <aff xml:lang="en">Reshetnev Siberian State University of Science and Technology</aff>
      </aff-alternatives>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      <elocation-id>10.26102/2310-6018/2026.56.5.005</elocation-id>
      <permissions>
        <copyright-statement>Copyright © Авторы, 2026</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This work is licensed under a Creative Commons Attribution 4.0 International License</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://moitvivt.ru/ru/journal/article?id=2245"/>
      <abstract xml:lang="ru">
        <p>В современной науке процессы передачи материальных, информационных и правовых объектов зачастую рассматриваются изолированно, что препятствует выявлению универсальных закономерностей их функционирования и затрудняет оценку совокупных издержек трансфера в разнородных системах. Целью данной работы является разработка единого математического аппарата для описания и оптимизации процессов перехода сущностей различной природы между агентами. Исследование базируется на методах системного анализа и математического моделирования, в рамках которых была проведена классификация структурных подобий (изоморфизмов) в логистических, правовых и информационных процессах. Для формализации воздействий внешней среды использован метод группировки факторов по девяти базовым механизмам трансформации параметров: времени, стоимости, надежности и структурной сложности. В результате работы создана универсальная модель, позволяющая количественно оценивать сопротивление среды через аппарат бинарных флагов чувствительности. Разработан двухэтапный алгоритм оптимизации, реализующий предварительную фильтрацию траекторий по расчетному порогу надежности и последующий поиск минимума целевой функции совокупных издержек. Практическая значимость результатов заключается в возможности обнаружения скрытых потерь ресурсов и временных лагов, которые не фиксируются традиционными узкоспециализированными методами анализа. Предложенный подход позволяет проектировать устойчивые системы трансфера, обеспечивая баланс между скоростью передачи сущности и безопасностью процесса в условиях динамически меняющейся среды.</p>
      </abstract>
      <trans-abstract xml:lang="en">
        <p>In modern science, the processes of transferring material, information, and legal objects are often considered in isolation, which prevents the identification of universal patterns of their functioning and complicates the assessment of aggregate transfer costs in heterogeneous systems. The aim of this work is to develop a unified mathematical apparatus for describing and optimizing the processes of transition of entities of various natures between agents. The research is based on the methods of systems analysis and mathematical modeling, within which a classification of structural similarities (isomorphisms) in logistical, legal, and information processes was carried out. To formalize environmental influences, a method of grouping factors into nine basic parameter transformation mechanisms was used: time, cost, reliability, and structural complexity. As a result of the work, a universal model was created that allows for the quantitative assessment of environmental resistance through the apparatus of binary sensitivity flags. A two-stage optimization algorithm has been developed, implementing preliminary filtering of trajectories by a calculated reliability threshold and a subsequent search for the minimum of the aggregate cost objective function. The practical significance of the results lies in the possibility of detecting hidden resource losses and time lags that are not captured by traditional highly specialized analysis methods. The proposed approach allows for the design of resilient transfer systems, ensuring a balance between the speed of entity transmission and process safety in a dynamically changing environment.</p>
      </trans-abstract>
      <kwd-group xml:lang="ru">
        <kwd>трансфер сущностей</kwd>
        <kwd>совокупные издержки</kwd>
        <kwd>механизмы трансформации параметров</kwd>
        <kwd>разнородные среды</kwd>
        <kwd>изоморфизм систем</kwd>
        <kwd>управление надежностью</kwd>
        <kwd>оптимизация процессов</kwd>
        <kwd>математическая формализация</kwd>
      </kwd-group>
      <kwd-group xml:lang="en">
        <kwd>entity transfer</kwd>
        <kwd>aggregate costs</kwd>
        <kwd>parameter transformation mechanisms</kwd>
        <kwd>heterogeneous environments</kwd>
        <kwd>system isomorphism</kwd>
        <kwd>reliability management</kwd>
        <kwd>process optimization</kwd>
        <kwd>mathematical formalization</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement xml:lang="ru">Исследование выполнено без спонсорской поддержки.</funding-statement>
        <funding-statement xml:lang="en">The study was performed without external funding.</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="cit1">
        <label>1</label>
        <mixed-citation xml:lang="ru">Kabashkin I., Sansyzbayeva Z. Methodological Framework for Sustainable Transport Corridor Modeling Using Petri Nets. Sustainability. 2024;16(2). https://doi.org/10.3390/su16020489</mixed-citation>
      </ref>
      <ref id="cit2">
        <label>2</label>
        <mixed-citation xml:lang="ru">Zhou J., Qin X., Ding Y., Ma H. Spatial-Temporal Dynamic Graph Differential Equation Network for Traffic Flow Forecasting. Mathematics. 2023;11(13). https://doi.org/10.3390/math11132867</mixed-citation>
      </ref>
      <ref id="cit3">
        <label>3</label>
        <mixed-citation xml:lang="ru">Goudey B., Geard N., Verspoor K., Zobel J. Propagation, detection and correction of errors using the sequence database network. Briefings in Bioinformatics. 2022;23(6). https://doi.org/10.1093/bib/bbac416</mixed-citation>
      </ref>
      <ref id="cit4">
        <label>4</label>
        <mixed-citation xml:lang="ru">Hussain A., Hussain T., Attar R.W., et al. Energy-efficient synchronization for body sensor network in the metaverse: an optimized connectivity approach. EURASIP Journal on Wireless Communications and Networking. 2025;2025(1). https://doi.org/10.1186/s13638-025-02433-4</mixed-citation>
      </ref>
      <ref id="cit5">
        <label>5</label>
        <mixed-citation xml:lang="ru">Li B., Kong L., Zhang X., et al. Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing Linkage for Power Internet of Things. Computers, Materials &amp; Continua. 2024;78(3):3267–3282. https://doi.org/10.32604/cmc.2024.047193</mixed-citation>
      </ref>
      <ref id="cit6">
        <label>6</label>
        <mixed-citation xml:lang="ru">Mitrea D.A., Marian C.V., Manolescu R.A. Digital Transformation: Design and Implementation of a Blockchain Platform for Decentralized and Transparent Property Asset Transfer Using NFTs. World. 2025;6(4). https://doi.org/10.3390/world6040166</mixed-citation>
      </ref>
      <ref id="cit7">
        <label>7</label>
        <mixed-citation xml:lang="ru">Hodgson G.M. Transactions and legal institutionalism: part I – six leading thinkers. Journal of Institutional Economics. 2025;21. https://doi.org/10.1017/S1744137425000049</mixed-citation>
      </ref>
      <ref id="cit8">
        <label>8</label>
        <mixed-citation xml:lang="ru">Xue Y., Liu H., Chai Zh., Wang Z. The Decision-Making and Moderator Effects of Transaction Costs, Service Satisfaction, and the Stability of Agricultural Productive Service Contracts: Evidence from Farmers in Northeast China. Sustainability. 2024;16(11). https://doi.org/10.3390/su16114371</mixed-citation>
      </ref>
      <ref id="cit9">
        <label>9</label>
        <mixed-citation xml:lang="ru">Fang F., Ma J., Ma Y.-J., Boccaletti S. Social contagion on higher-order networks: The effect of relationship strengths. Chaos, Solitons &amp; Fractals. 2024;186. https://doi.org/10.1016/j.chaos.2024.115149</mixed-citation>
      </ref>
      <ref id="cit10">
        <label>10</label>
        <mixed-citation xml:lang="ru">Ali M. Dynamic graph models for evolving social networks. Journal of Mathematical Problems, Equations and Statistics. 2024;5(1):93–99. https://doi.org/10.22271/math.2024.v5.i1a.249</mixed-citation>
      </ref>
      <ref id="cit11">
        <label>11</label>
        <mixed-citation xml:lang="ru">Zhang M., Liu L., Wang Y. Research on the dynamic spread of information in social networks based on relationship strength theory and feedback mechanism. Frontiers in Physics. 2024;12. https://doi.org/10.3389/fphy.2024.1327161</mixed-citation>
      </ref>
      <ref id="cit12">
        <label>12</label>
        <mixed-citation xml:lang="ru">Dong Y., Huo L., Perc M., Boccaletti S. Adaptive rumor propagation and activity contagion in higher-order networks. Communications Physics. 2025;8(1). https://doi.org/10.1038/s42005-025-02181-3</mixed-citation>
      </ref>
      <ref id="cit13">
        <label>13</label>
        <mixed-citation xml:lang="ru">Журавлев М.В., Ашмарина Т.И., Вахрушева И.А., Музалев К.С. Моделирование тепловых потоков в подземных горных выработках с применением параллельного программирования. Известия Тульского государственного университета. Науки о Земле. 2025;(3):292–297.</mixed-citation>
      </ref>
      <ref id="cit14">
        <label>14</label>
        <mixed-citation xml:lang="ru">Kukartsev V.V., Tynchenko V.S., Chzhan E.A., et al. Solving the problem of trucking optimization by automating the management process. Journal of Physics: Conference Series. 2019;1333(7). https://doi.org/10.1088/1742-6596/1333/7/072027</mixed-citation>
      </ref>
      <ref id="cit15">
        <label>15</label>
        <mixed-citation xml:lang="ru">Matania O., Klein R., Bortman J. Transfer Across Different Machines by Transfer Function Estimation. Frontiers in Artificial Intelligence. 2022;5. https://doi.org/10.3389/frai.2022.811073</mixed-citation>
      </ref>
      <ref id="cit16">
        <label>16</label>
        <mixed-citation xml:lang="ru">Yan Zh., Sun J., Zhang Y., et al. Federated Transfer Learning Strategy: A Novel Cross-Device Fault Diagnosis Method Based on Repaired Data. Sensors. 2023;23(16). https://doi.org/10.3390/s23167302</mixed-citation>
      </ref>
      <ref id="cit17">
        <label>17</label>
        <mixed-citation xml:lang="ru">Wang W., Li Zh., Li W. Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving. Neural Networks. 2024;170:427–440. https://doi.org/10.1016/j.neunet.2023.11.048</mixed-citation>
      </ref>
      <ref id="cit18">
        <label>18</label>
        <mixed-citation xml:lang="ru">Mu Z., Li D., Zhao J., Jiang H., Shao Q. TransNet: A transfer-augmented domain adaptation model for cross-domain water quality index prediction in data-scarce scenarios. Knowledge-Based Systems. 2025;328. https://doi.org/10.1016/j.knosys.2025.114220</mixed-citation>
      </ref>
      <ref id="cit19">
        <label>19</label>
        <mixed-citation xml:lang="ru">Boyko A.A., Kukartsev V.V., Eremeev D.V., et al. The dynamic simulation model of calculating equipment purchase with the bond loan. Journal of Physics: Conference Series. 2019;1399(3). https://doi.org/10.1088/1742-6596/1399/3/033120</mixed-citation>
      </ref>
      <ref id="cit20">
        <label>20</label>
        <mixed-citation xml:lang="ru">Si H., Li W., Wang Q., et al. A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems. PeerJ Computer Science. 2023;9. https://doi.org/10.7717/peerj-cs.1678</mixed-citation>
      </ref>
      <ref id="cit21">
        <label>21</label>
        <mixed-citation xml:lang="ru">Jia L., Zhang Q., Liu Sh., Kong B., Liu Y. Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm. AgriEngineering. 2025;7(6). https://doi.org/10.3390/agriengineering7060197</mixed-citation>
      </ref>
      <ref id="cit22">
        <label>22</label>
        <mixed-citation xml:lang="ru">Sun Y., Tian Zh. Solving few-shot problem in wind speed prediction: A novel transfer strategy based on decomposition and learning ensemble. Applied Energy. 2025;377(5). https://doi.org/10.1016/j.apenergy.2024.124717</mixed-citation>
      </ref>
      <ref id="cit23">
        <label>23</label>
        <mixed-citation xml:lang="ru">Cui T., Shi Y., Wang J., et al. Practice of an improved many-objective route optimization algorithm in a multimodal transportation case under uncertain demand. Complex &amp; Intelligent Systems. 2025;11(2). https://doi.org/10.1007/s40747-024-01725-4</mixed-citation>
      </ref>
      <ref id="cit24">
        <label>24</label>
        <mixed-citation xml:lang="ru">Bukhtoyarov V.V., Tynchenko V.S., Petrovsky E.A., Dokshanin S.G., Kukartsev V.V. Research of methods for design of regression models of oil and gas refinery technological units. IOP Conference Series: Materials Science and Engineering. 2019;537(4). https://doi.org/10.1088/1757-899X/537/4/042078</mixed-citation>
      </ref>
      <ref id="cit25">
        <label>25</label>
        <mixed-citation xml:lang="ru">Xu Zh., Zheng Ch., Zheng Sh., Ma G., Chen Zh. Multimodal Transportation Route Optimization of Emergency Supplies Under Uncertain Conditions. Sustainability. 2024;16(24). https://doi.org/10.3390/su162410905</mixed-citation>
      </ref>
      <ref id="cit26">
        <label>26</label>
        <mixed-citation xml:lang="ru">Lemus-Romani J., Crawford B., Cisternas-Caneo F., Soto R., Becerra-Rozas M. Binarization of Metaheuristics: Is the Transfer Function Really Important? Biomimetics. 2023;8(5). https://doi.org/10.3390/biomimetics8050400</mixed-citation>
      </ref>
      <ref id="cit27">
        <label>27</label>
        <mixed-citation xml:lang="ru">Liu Y., Ma C., Huang Y. An Internet of Things-Based Production Scheduling for Distributed Two-Stage Assembly Manufacturing with Mold Sharing. Machines. 2024;12(5). https://doi.org/10.3390/machines12050310</mixed-citation>
      </ref>
      <ref id="cit28">
        <label>28</label>
        <mixed-citation xml:lang="ru">Lingyun G., Niffenegger M., Jing Zh. A novel procedure to evaluate the performance of failure assessment models. Reliability Engineering &amp; System Safety. 2022;226(3). https://doi.org/10.1016/j.ress.2022.108667</mixed-citation>
      </ref>
      <ref id="cit29">
        <label>29</label>
        <mixed-citation xml:lang="ru">Shang Y., Nogal M., Teixeira R., Wolfert A.R.M. Extreme-oriented sensitivity analysis using sparse polynomial chaos expansion. Application to train-track-bridge systems. Reliability Engineering &amp; System Safety. 2023;243(1). https://doi.org/10.1016/j.ress.2023.109818</mixed-citation>
      </ref>
    </ref-list>
    <fn-group>
      <fn fn-type="conflict">
        <p>The authors declare that there are no conflicts of interest present.</p>
      </fn>
    </fn-group>
  </back>
</article>