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Problemy Upravleniya, 2003, Issue 3, Pages 21–24 (Mi pu567)  

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Artificial intelligence techniques in on-line control and optimization of complex process systems

N. V. Krapuhina, K. M. Pastukhova, P. A. Sviridov

Moscow State Institute of Steel and Alloys (Technological University)
References:
Abstract: Some features of applying genetic algorithms in the optimization of complex continuous stochastic systems are discussed. The paper makes an attempt to improve the convergence of iterative techniques used for such systems calculation.
Document Type: Article
UDC: 631.15/.16
Language: Russian
Citation: N. V. Krapuhina, K. M. Pastukhova, P. A. Sviridov, “Artificial intelligence techniques in on-line control and optimization of complex process systems”, Probl. Upr., 2003, no. 3, 21–24
Citation in format AMSBIB
\Bibitem{KraPasSvi03}
\by N.~V.~Krapuhina, K.~M.~Pastukhova, P.~A.~Sviridov
\paper Artificial intelligence techniques in on-line control and optimization of complex process systems
\jour Probl. Upr.
\yr 2003
\issue 3
\pages 21--24
\mathnet{http://mi.mathnet.ru/pu567}
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  • https://www.mathnet.ru/eng/pu/v3/p21
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