DocumentCode
3472145
Title
Genetic Neutrality in Naive Gene Expression Programming
Author
Zhu, Ming-fang ; Tang, Chang-jie ; Qiao, Shao-jie ; Dai, Shu-cheng Dai ; Chen, Yu
Author_Institution
Sch. of Comput., Sichuan Univ., Chengdu
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
Gene expression programming (GEP) is a genotype- phenotype system with non-coding regions in genome where possible neutral mutations would be accumulated. In this paper, a novel concept named naive gene expression programming (NGEP) is introduced. The main contributions include: (a) proposing a novel algorithm named NGEP, which decoding method based on the complete tree, (b) discussing the role of genetic neutrality in GEP and NGEP, and (c) performing experiments to show that NGEP is faster than traditional GEP, and the success rate of NGEP is higher than that in traditional GEP.
Keywords
biology computing; genetic algorithms; genetics; genetic neutrality; genotype-phenotype system; naive gene expression programming; neutral mutations; noncoding regions; Binary trees; Bioinformatics; Biology computing; Decoding; Evolution (biology); Gene expression; Genetic mutations; Genetic programming; Genomics; Tail;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.2602
Filename
4680791
Link To Document