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Bibliographic Details
Main Author: Zakirzyanov, Ruslan
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2601.12070
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author Zakirzyanov, Ruslan
author_facet Zakirzyanov, Ruslan
contents The article proposes a method for optimizing the structure of the software and hardware complex of an automated control system for continuous technological processes for large industrial enterprises. General information is given on the relevance of the problem of choosing the structure of a system built on the basis of serially produced components, a formal description of the optimization problem is given, the criterion and limitations are highlighted. A solution method using the metaheuristic algorithm of ant colonies is described. A numerical example of the solution is given, the results of the algorithm are analyzed, and directions for further research are determined.
format Preprint
id arxiv_https___arxiv_org_abs_2601_12070
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A method for optimizing the structure of the software and hardware complex of a distributed process control system for large industrial enterprises
Zakirzyanov, Ruslan
Systems and Control
Optimization and Control
The article proposes a method for optimizing the structure of the software and hardware complex of an automated control system for continuous technological processes for large industrial enterprises. General information is given on the relevance of the problem of choosing the structure of a system built on the basis of serially produced components, a formal description of the optimization problem is given, the criterion and limitations are highlighted. A solution method using the metaheuristic algorithm of ant colonies is described. A numerical example of the solution is given, the results of the algorithm are analyzed, and directions for further research are determined.
title A method for optimizing the structure of the software and hardware complex of a distributed process control system for large industrial enterprises
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2601.12070