Model Generation Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Abdel Salhi and H. Glaser and D. {De Roure}",
  title =        "Model Generation Using Genetic Programming",
  booktitle =    "UK Parallel'96",
  year =         "1996",
  editor =       "C. R. Jesshope and A. V. Shafarenko",
  pages =        "92--109",
  address =      "Guildford, UK",
  month =        "3-5 " # jul,
  organisation = "BCS Parallel Processing Specialist Group",
  publisher =    "Springer",
  email =        "",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-76068-7",
  isbn13 =       "978-3-540-76068-9",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/978-1-4471-1504-5_7",
  broken =       "",
  size =         "14",
  abstract =     "In search, optimisation and simulation applications,
                 model building is largely manual. However, it may be
                 automated if a complete enough body of data is
                 available. The objective of the present work is to
                 generate models for use in decision support.

                 In the following we shall concentrate on the method,
                 namely genetic programming, suitable for our problem. A
                 review of genetic programming and a description of an
                 implementation of a tool for symbolic regression is
                 given. Limited experimental results are reported and
                 future improvements to the tool are also discussed.",
  notes =        "Online Springer Feb 2015 Editors: Chris Jesshope and
                 Shasha Shafarenko


Genetic Programming entries for Abdel Salhi Hugh Glaser David De Roure