DocumentCode :
3005921
Title :
Function Finding Based on Gene Expression Programming
Author :
Mo, Haifang ; Wang, Jiangqing ; Qin, Jun ; Kang, Lishan
Author_Institution :
Dept. of Comput. Sci., Wuhan Univ., Wuhan
fYear :
2008
fDate :
25-26 Sept. 2008
Firstpage :
70
Lastpage :
74
Abstract :
This paper proposes a new evolution algorithm, M_GEP, based on the concept of multi-gene chromosome in gene expression programming. The algorithm has two characters: (1) a chromosome is composed of more than one gene; (2) the sub-genes are linked together according to the linking gene which may conclude more than one kind of function. We give two examples, whose results show that the models set up by M_GEP are better than the models set up by GEP.
Keywords :
algorithm theory; evolutionary computation; programming theory; M_GEP; evolution algorithm; function finding; gene expression programming; multigene chromosome; Biological cells; Computer science; Equations; Functional programming; Gene expression; Genetic algorithms; Genetic programming; Humans; Joining processes; Tail; Gene expression programming; complex function; function finding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
Type :
conf
DOI :
10.1109/WGEC.2008.85
Filename :
4637397
Link To Document :
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