• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Zhu Mingfang, Tang Changjie, Dai Shucheng, Chen Yu, Qiao Shaojie, Xiang Yong. Nave Gene Expression Programming Based on Genetic Neutrality[J]. Journal of Computer Research and Development, 2010, 47(2): 292-299.
Citation: Zhu Mingfang, Tang Changjie, Dai Shucheng, Chen Yu, Qiao Shaojie, Xiang Yong. Nave Gene Expression Programming Based on Genetic Neutrality[J]. Journal of Computer Research and Development, 2010, 47(2): 292-299.

Nave Gene Expression Programming Based on Genetic Neutrality

More Information
  • Published Date: February 14, 2010
  • The neutral theory of molecular evolution suggests that the accumulation of neutral mutations in the genome plays a vital role in evolutions. The genetic representation of gene expression programming (GEP), an artificial genotype and phenotype system, permits the existence of non-coding regions in the genome where neutral mutations can be accumulated. The authors introduce a concept named nave gene expression programming (NGEP) and analyze the effect in terms of neutral regions. NGEP uses the complete tree decoding method that causes more neutral regions than GEP. In order to explore the role of the genetic neutrality in NGEP, this paper makes the following contributions: 1)perfect the concept of nave gene expression programming, whose decoding method is based on complete tree; 2)analyze the characteristic of neutral regions in GEP and NGEP, and point out that NGEP has more free neutrality regions; 3)study and compare the specific role of genetic neutrality for both GEP and NGEP by controlling and adjusting the length and the number of genes and these non-coding regions, and tests the efficiency of NGEP; and 4)extensive experiments and comparisons show that NGEP is more efficient than traditional GEP in the case of similar gene redundancy, in particular, the success rate of NGEP does not change drastically with the growth of genetic neutrality.
  • Related Articles

    [1]Pang Tao, Duan Zhenhua. Symbolic Model Checking of WISHBONE on-Chip Bus[J]. Journal of Computer Research and Development, 2014, 51(12): 2759-2771. DOI: 10.7544/issn1000-1239.2014.20131164
    [2]Zhou Hang, Huang Zhiqiu, Zhu Yi, Xia Liang, Liu Linyuan. Real-Time Systems Contact Checking and Resolution Based on Time Petri Net[J]. Journal of Computer Research and Development, 2012, 49(2): 413-420.
    [3]Wang Yongji, Wu Jingzheng, Ding Liping, Zeng Haitao. Detecion Approach for Covert Channel Based on Concurrency Conflict Interval Time[J]. Journal of Computer Research and Development, 2011, 48(8): 1542-1553.
    [4]Liu Li, Chen Mingyu, Bao Yungang, Xu Jianwei, Fan Jianping. A Stream Checking and Prefetching Algorithm Based on Page Level Stream Buffer Architecture[J]. Journal of Computer Research and Development, 2009, 46(10): 1758-1767.
    [5]Jiang Hua, Li Xiang. Model Checking for Mobile Ambients[J]. Journal of Computer Research and Development, 2009, 46(10): 1750-1757.
    [6]Gong Rui, Chen Wei, Liu Fang, Dai Kui, and Wang Zhiying. Control Flow Checking and Recovering by Compiler Signatures and Hardware Checking[J]. Journal of Computer Research and Development, 2009, 46(2): 345-351.
    [7]Zhang Junhua, Huang Zhiqiu, and Cao Zining. Counterexample Generation for Probabilistic Timed Automata Model Checking[J]. Journal of Computer Research and Development, 2008, 45(10): 1638-1645.
    [8]Zhao Mingfeng, Song Wen, Yang Yixian. Confusion Detection Based on Petri-Net[J]. Journal of Computer Research and Development, 2008, 45(10): 1631-1637.
    [9]Huang Weiping. Program Restructuring to Improve Efficiency of Software Model Checking[J]. Journal of Computer Research and Development, 2008, 45(8): 1417-1422.
    [10]He Jian, Qin Zheng. Modeling and Checking the Behavior of Software Architecture[J]. Journal of Computer Research and Development, 2005, 42(11): 2018-2024.

Catalog

    Article views (998) PDF downloads (621) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return