In this paper, we apply gene expression programming to
the automatic modelling 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.
%0 Conference Paper
%1 Wu:2005:amcFbGEp
%A Wu, Chuan-Sheng
%A Huang, Li
%A Kang, Li-Shan
%B Proceedings of 2005 International Conference on
Machine Learning and Cybernetics
%D 2005
%I IEEE
%K (mathematics), , Expression Gene Programming, algorithms, automatic complex condition expression function functions, gene genetic mathematical modelling, multilayer mutation operator, operators, programming, recombination termination transposition tree, trees
%P 2870--2873
%R doi:10.1109/ICMLC.2005.1527432
%T The automatic modeling of complex functions based on
gene expression programming
%V 5
%X In this paper, we apply gene expression programming to
the automatic modelling 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.
@inproceedings{Wu:2005:amcFbGEp,
abstract = {In this paper, we apply gene expression programming to
the automatic modelling 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.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Wu, Chuan-Sheng and Huang, Li and Kang, Li-Shan},
biburl = {https://www.bibsonomy.org/bibtex/27477e5c8cb41967428d16dcf4b69f96b/brazovayeye},
booktitle = {Proceedings of 2005 International Conference on
Machine Learning and Cybernetics},
doi = {doi:10.1109/ICMLC.2005.1527432},
interhash = {4eb060cc8ca685dbe90068b6103434ac},
intrahash = {7477e5c8cb41967428d16dcf4b69f96b},
keywords = {(mathematics), , Expression Gene Programming, algorithms, automatic complex condition expression function functions, gene genetic mathematical modelling, multilayer mutation operator, operators, programming, recombination termination transposition tree, trees},
month = {18-21 August},
notes = {Sch. of Natural Sci., Wuhan Univ. of Technol., China.
INSPEC Accession Number:8946031},
pages = {2870--2873},
publisher = {IEEE},
timestamp = {2008-06-19T17:54:33.000+0200},
title = {The automatic modeling of complex functions based on
gene expression programming},
volume = 5,
year = 2005
}