Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming

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

  author =       "Frank D. Francone and Larry M. Deschaine and 
                 Tom Battenhouse and Jeffrey J. Warren",
  title =        "Discrimination of Unexploded Ordnance from Clutter
                 Using Linear Genetic Programming",
  booktitle =    "Late Breaking Papers at the 2004 Genetic and
                 Evolutionary Computation Conference",
  year =         "2004",
  editor =       "Maarten Keijzer",
  address =      "Seattle, Washington, USA",
  month =        "26 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2004/LBP022.pdf",
  URL =          "http://www.aimlearning.com/UXO.GECCO.2004.pdf",
  abstract =     "We used Linear Genetic Programming (LGP) to study the
                 extent to which automated learning techniques may be
                 used to improve Unexploded Ordinance (UXO)
                 discrimination from Protem-47 and Geonics EM61
                 non-invasive electromagnetic sensors. We conclude that:
                 (1) Even after geophysicists have analysed the EM61
                 signals and ranked anomalies in order of the likelihood
                 that each comprises UXO, our LGP tool was able to
                 substantially improve the discrimination of UXO from
                 scrap-preexisting techniques require digging 62% more
                 holes to locate all UXO on a range than do LGP derived
                 models; (2) LGP can improve discrimination even though
                 trained on a very small number of examples of UXO; and
                 (3) LGP can improve UXO discrimination on data sets
                 that contain a high-level of noise and little
  notes =        "Part of \cite{keijzer:2004:GECCO:lbp}. See also

Genetic Programming entries for Frank D Francone Larry M Deschain Thomas R Battenhouse Jr Jeffrey J Warren