Approximation model building using genetic programming methodology: applications

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Luis F. Alvarez and Vassili V. Toropov and 
                 David C. Hughes and Ashraf F. Ashour",
  title =        "Approximation model building using genetic programming
                 methodology: applications",
  booktitle =    "Second ISSMO/AIAA Internet Conference on
                 Approximations and Fast Reanalysis in Engineering
  year =         "2000",
  editor =       "Thouraya Baranger and Fred van Keulen",
  month =        "25 " # may # "-2 " # jun,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  broken =       "",
  URL =          "",
  URL =          "",
  citeseer-isreferencedby = "oai:CiteSeerPSU:81525",
  citeseer-references = "oai:CiteSeerPSU:60878",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:512359",
  rights =       "unrestricted",
  abstract =     "Genetic Programming methodology is used for the
                 creation of approximation functions obtained by the
                 response surface methodology. Two important aspects of
                 the problems are addressed: the choice of the plan of
                 experiment and the model tuning using the least-squares
                 response surface fitting. Several examples show the
                 applications of the technique to problems where the
                 values of response functions are obtained either by
                 numerical simulation or laboratory experimentation.",
  notes =        "Multicriteria Optimization of the Manufacturing
                 Process for Roman Cement",

Genetic Programming entries for Luis F Alvarez Vassili V Toropov David C Hughes A F Ashour