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Numerical methods and programming, 2010, Volume 11, Issue 3, Pages 250–260
(Mi vmp317)
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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.
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
Linking options:
https://www.mathnet.ru/eng/vmp317 https://www.mathnet.ru/eng/vmp/v11/i3/p250
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Statistics & downloads: |
Abstract page: | 144 | Full-text PDF : | 131 |
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