| Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 7 | |
| Section | Hybrid Modeling and Optimization in Complex Systems: Advances and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20245901003 | |
| Published online | 25 January 2024 | |
The method of optimal resource management of a distributed dynamic system based on the algorithm of zeroing neural networks
1
Reshetnev Siberian State University of Science and Technology,
31, Krasnoyarsky Rabochy Ave,
Krasnoyarsk,
660037,
Russia
2
Siberian Federal University,
79, Svobodny Ave.,
Krasnoyarsk,
660041,
Russia
* Corresponding author: evgbryuhanova@gmail.com
The method of optimal resource management of a distributed dynamic system based on the algorithm of zeroing neural networks offers a new approach to effective resource management in distributed dynamic systems using advanced machine learning technologies. Research questions concern determining optimal resource management strategies in a distributed dynamic system, as well as evaluating the effectiveness of the proposed method in various scenarios. The research methods include mathematical formalization of the problem, development of an algorithm for zeroing neural networks and conducting numerical experiments based on computer modeling. The results of the study demonstrate the high efficiency of the proposed method of optimal resource management in a distributed dynamic system. The conclusions emphasize the importance of using the algorithm of zeroing neural networks in the context of optimal resource management in distributed systems and the possibility of its application to solve practical problems in various fields, such as energy, production, transport and others.
© The Authors, published by EDP Sciences, 2024
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