@inproceedings{Wu:2005:amcFbGEp,
	title = {The automatic modeling of complex functions based on
                 gene expression programming},
	author = {Chuan-Sheng Wu and Li Huang and Li-Shan Kang},
	booktitle = {Proceedings of 2005 International Conference on
                 Machine Learning and Cybernetics},
	month = {18-21 August},
	pages = {2870--2873},
	publisher = {IEEE},
	volume = {5},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/27477e5c8cb41967428d16dcf4b69f96b/brazovayeye},
	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.},
	notes = {Sch. of Natural Sci., Wuhan Univ. of Technol., China.
                 INSPEC Accession Number:8946031}, doi = {doi:10.1109/ICMLC.2005.1527432},
	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 }
}