• DocumentCode
    508361
  • Title

    Gene Expression Programming without Reduplicate Individuals

  • Author

    Li, Taiyong ; Tang, Changjie ; He, Ting ; Wu, Jiang ; Qin, Wenbing

  • Author_Institution
    Sch. of Economic Inf. Eng., Southwestern Univ. of Finance & Econ., Chengdu, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    The diversity plays an important role in gene expression programming(GEP). However, the reduplicate individuals in the populations decrease the diversity, which will impact the performance of the evolution. To cope with this problem, this paper proposes a novel GEP WithOut Reduplicate Individuals called GEPWORI. The main contributions of this paper include: (1) presenting the phenomenon of reduplicate individuals in GEP and analyzing its impact on evolution, (2) proposing a novel algorithm (GEPWORI) which avoids reduplicate individuals in the populations, and (3) by extensive experiments showing that the performance of the GEPWORI is better than that of the existing Traditional GEP (TGEP).
  • Keywords
    genetic algorithms; GEPWORI algorithm; gene expression programming; reduplicate individuals; Biological cells; Decoding; Educational institutions; Finance; Gene expression; Genetic programming; Head; Linear programming; Pharmaceuticals; Tail; diversity; evolutionary computation; gene expression programming; reduplicate individual;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.406
  • Filename
    5366933