An Improved Gene Expression Programming for Solving Inverse Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Kejun Zhang and Yuxia Hu and Gang Liu",
  title =        "An Improved Gene Expression Programming for Solving
                 Inverse Problem",
  booktitle =    "The Sixth World Congress on Intelligent Control and
                 Automation, WCICA 2006",
  year =         "2006",
  volume =       "1",
  pages =        "3371--3375",
  month =        "21-23 " # jun,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Gene
                 expression programming",
  ISBN =         "1-4244-0332-4",
  DOI =          "doi:10.1109/WCICA.2006.1712993",
  abstract =     "The basic principle of Gene expression programming
                 (GEP) is introduced in this paper. An improved GEP
                 algorithm called IGEP based on dynamic mutation
                 operator which dealing with the inverse problem of
                 parameter identification of complex function is
                 presented, the algorithm complexity of the IGEP was
                 given in the paper, furthermore, many simulation
                 results show that the models set up by the paper are
                 better than the models set up by classic GEP. A future
                 study will consider the effects of applying IGEP to the
                 inverse problem which sensitive to the time period.",

Genetic Programming entries for Ke Jun Zhang Yuxia Hu Gang Liu