DocumentCode
347489
Title
Applying genetic algorithm to modeling nonlinear transfer functions
Author
Loyka, Sergey L.
Author_Institution
Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Volume
1
fYear
1999
fDate
1999
Firstpage
247
Abstract
A genetic algorithm (GA) technique for the approximation of nonlinear transfer functions is proposed in this paper. It is shown that the GA approximation method gives better accuracy than the classical Chebyshev approximation, which is sometimes considered to be the best one on the minimax criterion. Application of this technique to behavioral-level simulation is also discussed
Keywords
Chebyshev approximation; function approximation; genetic algorithms; minimax techniques; nonlinear functions; polynomial approximation; transfer functions; Chebyshev approximation; approximation method; behavioral-level simulation; genetic algorithm technique; minimax criterion; modeling; nonlinear transfer functions; Approximation methods; Chebyshev approximation; Computational modeling; Function approximation; Genetic algorithms; Genetic mutations; Minimax techniques; Polynomials; System performance; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 1999. 4th International Conference on
Conference_Location
Nis
Print_ISBN
0-7803-5768-X
Type
conf
DOI
10.1109/TELSKS.1999.804737
Filename
804737
Link To Document