Оптимизация принятия структурно-компонентных проектных решений в САПР киберфизических систем
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Optimization of structural and component design decisions in CAD of cyberphysical systems

Lvovich I.Y.,  idPreobrazhenskiy A.P., idLvovich Y.E.

UDC 681.3
DOI: 10.26102/2310-6018/2024.45.2.022

  • Abstract
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The article presents the results of a study involving the formation of an optimization model and an interactive procedure for making structural and component decisions based on the principles of building an integrated CAD of cyberphysical systems (CFS). A description is given of the five main levels within which the CFS design process is implemented. Some approaches that were used by the authors during the design of the design elements of the CFS are considered. The description of how the optimization model of structural and component synthesis is formed is given. The main components of such an optimization model are given. The structural elements of the CFS are described on the basis of a set of formed sets. Three groups of indicators in the model are identified. The first group includes reliability and cost, which are calculated for the entire CFS as a whole. The second group includes the indicators calculated for some digital threads. The third group of indicators is related to the principle of covering the entire life cycle of the CFS from project to operation. An interactive procedure for making a structural and component design decision is presented. The generation of solution options is carried out in an automatic randomized search mode by replacing Boolean variables with random ones.

Keywords: cyberphysical system, CAD, structural and component design, optimization, expert assessment

For citation: Lvovich I.Y., Preobrazhenskiy A.P., Lvovich Y.E. Optimization of structural and component design decisions in CAD of cyberphysical systems. Modeling, Optimization and Information Technology. 2024;12(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1538 DOI: 10.26102/2310-6018/2024.45.2.022 (In Russ).

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Received 27.03.2024

Revised 16.05.2024

Accepted 23.05.2024

Published 30.06.2024