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
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;
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
DOI :
10.1109/WiCom.2008.2602