Assessment of a Non-linear Optimization Algorithm for Imagery Classification

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

@InProceedings{Momm:2008:MSA,
  author =       "Henrique Momm and Greg Easson",
  title =        "Assessment of a Non-linear Optimization Algorithm for
                 Imagery Classification",
  booktitle =    "Journal of the Mississippi Academy of Sciences",
  year =         "2008",
  volume =       "53",
  number =       "1",
  pages =        "96",
  note =         "Seventy second annual meeting of the Mississippi
                 Academy of Sciences, Whispering Woods, MS, USA, 20-22
                 February 2008",
  email =        "msacad@bellsouth.net",
  keywords =     "genetic algorithms, genetic programming, remote
                 sensing",
  ISSN =         "0076-9436",
  URL =          "http://www.msstate.edu/org/MAS/jan08journal/jan08.pdf",
  size =         "0.3 pages",
  abstract =     "Results suggested that the overall variability
                 increased with the introduction of additional variables
                 despite the higher accuracy values. Conversely, the use
                 of techniques such as population restarting
                 significantly reduced the variability caused by the
                 initial randomness process and therefore it is
                 recommended to be incorporated into the framework.",
}

Genetic Programming entries for Henrique G Momm Greg Easson

Citations