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Numerical methods and programming, 2010, Volume 11, Issue 3, Pages 250–260 (Mi vmp317)  

Вычислительные методы и приложения

A method of multiobjective optimization on the basis of approximate models for an optimized object

Yu. Zelenkov

Scientific Production Association "Saturn"
Abstract: A method of multiobjective optimization on the basis of the NSGA-II algorithm with approximate models for an optimized object is proposed. Artificial neural networks with radial basis functions (RBF networks) are used to construct the approximate models whose parameters are determined with an evolutionary algorithm. The multiobjective optimization of the working process of a gas turbine engine is studied as an example.
Keywords: approximation; response surface model (RSM); RBF networks; multiobjective optimization; gas turbine engine parameters.
Document Type: Article
UDC: 004.023, 629.7.03
Language: Russian
Citation: Yu. Zelenkov, “A method of multiobjective optimization on the basis of approximate models for an optimized object”, Num. Meth. Prog., 11:3 (2010), 250–260
Citation in format AMSBIB
\Bibitem{Zel10}
\by Yu.~Zelenkov
\paper A method of multiobjective optimization on the basis of approximate models
for an optimized object
\jour Num. Meth. Prog.
\yr 2010
\vol 11
\issue 3
\pages 250--260
\mathnet{http://mi.mathnet.ru/vmp317}
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  • https://www.mathnet.ru/eng/vmp317
  • https://www.mathnet.ru/eng/vmp/v11/i3/p250
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    Numerical methods and programming
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