Pattern recognition

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

  author =       "K. Govinda Char and Walter Alden Tackett",
  title =        "Pattern recognition",
  booktitle =    "Handbook of Evolutionary Computation",
  publisher =    "Oxford University Press",
  publisher_2 =  "Institute of Physics Publishing",
  year =         "1997",
  editor =       "Thomas Baeck and David B. Fogel and 
                 Zbigniew Michalewicz",
  chapter =      "section F1.6.2.5",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7503-0392-1",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "Pattern recognition is one of the most important
                 components of any intelligent system. The traditional
                 methodologies in pattern recognition are inadequate to
                 provide optimal solutions to a variety of pattern
                 recognition and classification problems that are
                 inherently complex. In recent years, evolutionary
                 algorithms have been successfully applied to a wide
                 range of diverse sets of problems in the field of
                 pattern recognition. In a number of applications,
                 evolutionary paradigms, in hybrid with the traditional
                 techniques or in isolation, have outperformed
                 traditional techniques. In this section we provide an
                 overview of various pattern recognition techniques that
                 are currently in use, the role of evolutionary
                 computation in adaptive pattern recognition and the
                 future trends.",
  notes =        "Nov 2015 Chapter not showing up at
        whole of
                 Part F missing",

Genetic Programming entries for K Govinda Char Walter Alden Tackett