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