Adaptive Genetic Programming for Dynamic Classification Problems

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

@InProceedings{Riekert:2009:cec,
  author =       "M. Riekert and K. M. Malan and A. P. Engelbrecht",
  title =        "Adaptive Genetic Programming for Dynamic
                 Classification Problems",
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "674--681",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P327.pdf",
  DOI =          "doi:10.1109/CEC.2009.4983010",
  abstract =     "This paper investigates the feasibility of using
                 Genetic Programming in dynamically changing
                 environments to evolve decision trees for
                 classification problems and proposes an new version of
                 Genetic Programming called Adaptive Genetic
                 Programming. It does so by comparing the performance or
                 classification error of Genetic Programming and
                 Adaptive Genetic Programming to that of Gradient
                 Descent in abruptly and progressively changing
                 environments. To cope with dynamic environments,
                 Adaptive Genetic Programming incorporates adaptive
                 control parameters, variable elitism and culling.
                 Results show that both Genetic Programming and Adaptive
                 Genetic Programming are viable algorithms for dynamic
                 environments yielding a performance gain over Gradient
                 Descent for lower dimensional problems even with severe
                 environment changes. In addition, Adaptive Genetic
                 Programming performs slightly better than Genetic
                 Programming, due to faster recovery from changes in the
                 environment.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "CEC 2009 - A joint meeting of the IEEE, the EPS and
                 the IET. IEEE Catalog Number: CFP09ICE-CDR",
}

Genetic Programming entries for M Riekert Katherine M Malan Andries P Engelbrecht

Citations