The automatic modeling of complex functions based on gene expression programming

Author

Wu, Chuan-Sheng ; Huang, Li ; Kang, Li-shan

Author_Institution

Sch. of Natural Sci., Wuhan Univ. of Technol., China

Volume

5

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

2870

Abstract

In this paper, we apply gene expression programming to the automatic modeling of complex function. In our programs, the complex functions are expressed by multi-layer tree. The genetic operators such as mutation, transposition, recombination and termination conditions are designed respectively. Furthermore, we give two examples, whose results show that the models set up by gene expression programming are better than the models set up by genetic programming.

Keywords

genetic algorithms; mathematical operators; trees (mathematics); automatic modeling; complex functions; gene expression programming; genetic operator; genetic programming; multilayer tree; mutation operator; recombination operator; termination condition operator; transposition operator; Automatic programming; Biological cells; Equations; Functional programming; Gene expression; Genetic programming; Genomics; Least squares methods; Magnetic heads; Tail; Gene expression programming; automatic modeling; complex function;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527432

Filename

1527432