The vector optimization and modeling of a technical systems

The construction a feasible solution set with a given accuracy is a main problem in multicriteria optimization and modeling. In order to construct the feasible solution set, a method called the Parameter Space Investigation has been created and successfully integrated into various fields of industry...

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Main Author: Matusov Leonid B.
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201822404020
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spelling doaj-78436e5bbcf5430eabe18c2b95e25fa22021-02-02T06:58:35ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012240402010.1051/matecconf/201822404020matecconf_icmtmte2018_04020The vector optimization and modeling of a technical systemsMatusov Leonid B.0Russian Academy of Science, Institute of Machines Science named after A.A. BlagonravovThe construction a feasible solution set with a given accuracy is a main problem in multicriteria optimization and modeling. In order to construct the feasible solution set, a method called the Parameter Space Investigation has been created and successfully integrated into various fields of industry, science, and technology. Multicriteria modeling (identification) is a new direction that is of great value in applications. In the most common usage, the term “identification” means construction of the mathematical model of a system and determination of the parameters (design variables) of the model. The construction a feasible solution set with a given accuracy is a common way for solving multicriteria optimization and modeling problems. The issues of the estimation of the Parameter Space Investigation method convergence rate, the approximation of the feasible solution set are described. Besides these, the multicriteria identification problems of mechanical systems are discussed too.https://doi.org/10.1051/matecconf/201822404020
collection DOAJ
language English
format Article
sources DOAJ
author Matusov Leonid B.
spellingShingle Matusov Leonid B.
The vector optimization and modeling of a technical systems
MATEC Web of Conferences
author_facet Matusov Leonid B.
author_sort Matusov Leonid B.
title The vector optimization and modeling of a technical systems
title_short The vector optimization and modeling of a technical systems
title_full The vector optimization and modeling of a technical systems
title_fullStr The vector optimization and modeling of a technical systems
title_full_unstemmed The vector optimization and modeling of a technical systems
title_sort vector optimization and modeling of a technical systems
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description The construction a feasible solution set with a given accuracy is a main problem in multicriteria optimization and modeling. In order to construct the feasible solution set, a method called the Parameter Space Investigation has been created and successfully integrated into various fields of industry, science, and technology. Multicriteria modeling (identification) is a new direction that is of great value in applications. In the most common usage, the term “identification” means construction of the mathematical model of a system and determination of the parameters (design variables) of the model. The construction a feasible solution set with a given accuracy is a common way for solving multicriteria optimization and modeling problems. The issues of the estimation of the Parameter Space Investigation method convergence rate, the approximation of the feasible solution set are described. Besides these, the multicriteria identification problems of mechanical systems are discussed too.
url https://doi.org/10.1051/matecconf/201822404020
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