The Application of Macro-Economic Prediction Based on Improved Gene Expression Programming

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@InProceedings{Yan:2009:CINC,
  author =       "Jingfeng Yan and Guoqing Li",
  title =        "The Application of Macro-Economic Prediction Based on
                 Improved Gene Expression Programming",
  booktitle =    "International Conference on Computational Intelligence
                 and Natural Computing, CINC '09",
  year =         "2009",
  month =        "6-7 " # jun,
  volume =       "1",
  pages =        "266--268",
  abstract =     "An improved gene expression programming (IGEP) is
                 proposed in this paper. It has some new features: 1)
                 introducing a new individual coding; 2) introducing a
                 new way of creating constants; 3) introducing a hybrid
                 self-adaptive crossover-mutation operator, which can
                 enhance the search ability and exploit the optimum
                 offspring. To validate the performance of IGEP, this
                 paper applies IGEP into the solution of the
                 macro-economic predictions. The experimental results
                 demonstrate that Improved GEP can automatically find
                 better Optimisation Model, based on which prediction
                 will be generated much more exactly.",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, hybrid self-adaptive
                 crossover-mutation operator, improved gene expression
                 programming, macro-economic prediction, optimum
                 offspring, search ability, macroeconomics",
  DOI =          "doi:10.1109/CINC.2009.31",
  notes =        "Coll. of Comput. Sci. & Technol., Xuchang Univ.,
                 Xuchang, China Also known as \cite{5231146}",
}

Genetic Programming entries for Jingfeng Yan Guoqing Li

Citations