A Hierarchical Genetic System for Symbolic Function Identification

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Jiang:1992:hGPsfi,
  author =       "Mingda Jiang and Alden H. Wright",
  title =        "A Hierarchical Genetic System for Symbolic Function
                 Identification",
  institution =  "University of Montana, Missoula, MT 59812",
  booktitle =    "Proceedings of the 24th Symposium on the Interface:
                 Computing Science and Statistics, College Station,
                 Texas",
  year =         "1992",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.umt.edu/u/wright/papers/hgsfi.ps.gz",
  URL =          "http://citeseer.ist.psu.edu/202012.html",
  size =         "27 pages",
  abstract =     "Given data in the form of a collection of (x,y) pairs
                 of real numbers, the symbolic function identification
                 problem is to find a functional model of the form y =
                 f(x) that fits the data. This paper describes a system
                 for solution of symbolic function identification
                 problems that combines a genetic algorithm and the
                 Levenberg-Marquardt nonlinear regression algorithm. The
                 genetic algorithm uses an expression-tree
                 representation rather than the more usual binary-string
                 representation. Experiments were run with data
                 generated using a wide variety of function models. The
                 system was able to find a function model that closely
                 approximated the data with a very high success rate.",
  notes =        "Also available as technical report, 26 pages. Does
                 Symbolic regression but uses Levenberg-Marquadt
                 statistical technique to adjust parameters to get
                 closer (equivalent of local hill climbing?) Some case
                 GP don't work on. Mentions Permutation but don't say
                 how usefully it is

                 ",
}

Genetic Programming entries for Mingda Jiang Alden H Wright

Citations