Genetic Programming Model for Hadronic Collisions

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Mahmoud Y. El-Bakry and Moaaz A. Moussa and 
                 A. Radi and E. El-dahshan and M. Tantawy",
  title =        "Genetic Programming Model for Hadronic Collisions",
  journal =      "International Journal of Scientific \& Engineering
  year =         "2012",
  volume =       "3",
  number =       "3",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, hadronic
                 collisions, high energy physics",
  ISSN =         "2229-5518",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "",
  URL =          "",
  size =         "4 pages",
  abstract =     "High Energy Physics (HEP) is in need of powerful
                 efficient techniques for various analysis tasks.
                 Genetic Programming (GP) is a powerful technique that
                 can be used for solving these tasks. In this paper,
                 Genetic programming (GP) has been used to discover a
                 function that calculates charged particles multiplicity
                 distribution of created pions from antiproton-neutron (
                 p n) and proton-neutron ( p n) interactions at high
                 energies. The predicted distributions from the GP-based
                 model are compared with the available experimental
                 data. The discovered function of GP model has proved
                 matching better for experimental data",

Genetic Programming entries for Mahmoud Y El-Bakry Moaaz A Moussa Amr Mohamed Mahmoud Khairat Radi El-sayed A El-dahshan M Tantawy