Gene Expression Programming Approach to Event Selection in High Energy Physics

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

@Article{Teodorescu:2006:IEEETNS,
  author =       "Liliana Teodorescu",
  title =        "Gene Expression Programming Approach to Event
                 Selection in High Energy Physics",
  journal =      "IEEE Transactions on Nuclear Science",
  year =         "2006",
  volume =       "53",
  number =       "4 (part2)",
  pages =        "2221--2227",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Event selection, evolutionary
                 algorithms",
  ISSN =         "0018-9499",
  DOI =          "doi:10.1109/TNS.2006.878571",
  size =         "7 pages",
  abstract =     "Gene Expression Programming is a new evolutionary
                 algorithm that overcomes many limitations of the more
                 established Genetic Algorithms and Genetic Programming.
                 Its first application to high energy physics data
                 analysis is presented. The algorithm was successfully
                 used for event selection on samples with both low and
                 high background level. It allowed automatic
                 identification of selection rules that can be
                 interpreted as cuts applied on the input variables. The
                 signal/background classification accuracy was over
                 90percent in all cases.",
}

Genetic Programming entries for Liliana Teodorescu

Citations