High Energy Physics event selection with Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Liliana Teodorescu and Daniel Sherwood",
  title =        "High Energy Physics event selection with Gene
                 Expression Programming",
  journal =      "Computer Physics Communications",
  volume =       "178",
  number =       "6",
  pages =        "409--419",
  year =         "2008",
  ISSN =         "0010-4655",
  DOI =          "doi:10.1016/j.cpc.2007.10.003",
  URL =          "http://www.sciencedirect.com/science/article/B6TJ5-4R29FNK-1/2/4e3abbd674450ca48d43711fdb1b4f95",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Evolutionary algorithms, Event
                 selection, Classification, High Energy Physics",
  abstract =     "Gene Expression Programming is a new evolutionary
                 algorithm that overcomes many limitations of the more
                 established Genetic Algorithms and Genetic Programming.
                 Its application to event selection in high energy
                 physics data analysis is presented using as an example
                 application the selection of KS particles produced in
                 e+e- interactions at 10 GeV and reconstructed in the
                 decay mode KS-->[pi]+[pi]-. The algorithm was used for
                 automatic identification of classification criteria for
                 signal/background separation. For the problem studied
                 and for data samples with signal to background ratios
                 between 0.25 and 5, the classification accuracy
                 obtained with the criteria developed by the GEP
                 algorithm was in the range of 92-95%.",

Genetic Programming entries for Liliana Teodorescu Daniel Sherwood