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Matematicheskaya Teoriya Igr i Ee Prilozheniya, 2018, Volume 10, Issue 1, Pages 5–22 (Mi mgta210)  
This article is cited in 3 scientific papers (total in 3 papers)

Evolutionary methods for solving dynamic resourse allocation problems

Grigory I. Beliavsky, Natalia V. Danilova, Gennady A. Ougolnitsky

South Federal University
Full-text PDF (329 kB) Citations (3)
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Abstract: The paper proposes a dynamic game-theoretic statement of the problem of resource allocation in the organizational system. The application of algorithms of evolutionary modeling to the solution of such problems is considered. The exposition is illustrated by model examples.
Keywords: dynamic resource allocation problem, differential games, evolutionary modeling.
Funding agency Grant number
Russian Science Foundation 17-19-01038
Document Type: Article
UDC: 519.2
BBC: 22.18
Language: Russian
Citation: Grigory I. Beliavsky, Natalia V. Danilova, Gennady A. Ougolnitsky, “Evolutionary methods for solving dynamic resourse allocation problems”, Mat. Teor. Igr Pril., 10:1 (2018), 5–22
Citation in format AMSBIB
\Bibitem{BelDanOug18}
\by Grigory~I.~Beliavsky, Natalia~V.~Danilova, Gennady~A.~Ougolnitsky
\paper Evolutionary methods for solving dynamic resourse allocation problems
\jour Mat. Teor. Igr Pril.
\yr 2018
\vol 10
\issue 1
\pages 5--22
\mathnet{http://mi.mathnet.ru/mgta210}
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    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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