Geodesic
A method of multiobjective optimization on the basis of approximate models
Numerical methods and programming, Tome 11 (2010) no. 3, pp. 250-260.

Voir la notice de l'article provenant de la source Math-Net.Ru

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. 
@article{VMP_2010_11_3_a5,
     author = {Yu. Zelenkov},
     title = {A method of multiobjective optimization on the basis of approximate models},
     journal = {Numerical methods and programming},
     pages = {250--260},
     publisher = {mathdoc},
     volume = {11},
     number = {3},
     year = {2010},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2010_11_3_a5/}
}
TY  - JOUR
AU  - Yu. Zelenkov
TI  - A method of multiobjective optimization on the basis of approximate models
JO  - Numerical methods and programming
PY  - 2010
SP  - 250
EP  - 260
VL  - 11
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VMP_2010_11_3_a5/
LA  - ru
ID  - VMP_2010_11_3_a5
ER  - 
%0 Journal Article
%A Yu. Zelenkov
%T A method of multiobjective optimization on the basis of approximate models
%J Numerical methods and programming
%D 2010
%P 250-260
%V 11
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VMP_2010_11_3_a5/
%G ru
%F VMP_2010_11_3_a5
Yu. Zelenkov. A method of multiobjective optimization on the basis of approximate models. Numerical methods and programming, Tome 11 (2010) no. 3, pp. 250-260. http://geodesic.mathdoc.fr/item/VMP_2010_11_3_a5/