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Avtomatika i Telemekhanika, 2005, Issue 1, Pages 135–141 (Mi at1315)  
Control in Social Economic Systems

Regularizing functions in many-period production optimization models

Yu. M. Tsodikov, Ya. Yu. Tsodikova

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
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Abstract: A linear dynamic model for many-period production optimization is designed by linear programming methods. For a large-dimensional model, piecewise-linear regularizing functions are introduced through qualitative information on stocks and flows. An example is given to show the effectiveness of the method for many-period optimization of the operation of a refinery.
Presented by the member of Editorial Board: A. I. Propoi

Received: 27.02.2003
English version:
Automation and Remote Control, 2005, Volume 66, Issue 1, Pages 123–128
DOI: https://doi.org/10.1007/s10513-005-0012-6
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Yu. M. Tsodikov, Ya. Yu. Tsodikova, “Regularizing functions in many-period production optimization models”, Avtomat. i Telemekh., 2005, no. 1, 135–141; Autom. Remote Control, 66:1 (2005), 123–128
Citation in format AMSBIB
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\paper Regularizing functions in many-period production optimization models
\jour Avtomat. i Telemekh.
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\pages 135--141
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\transl
\jour Autom. Remote Control
\yr 2005
\vol 66
\issue 1
\pages 123--128
\crossref{https://doi.org/10.1007/s10513-005-0012-6}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-14844339761}
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