Effective Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  title =        "Effective Linear Genetic Programming",
  author =       "Markus Brameier and Wolfgang Banzhaf",
  citeseer-isreferencedby = "oai:CiteSeerPSU:75403",
  citeseer-references = "oai:CiteSeerPSU:46478; oai:CiteSeerPSU:271953;
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:488546",
  rights =       "unrestricted",
  institution =  "Department of Computer Science, University of
  year =         "2001",
  number =       "Reihe CI 108/01, SFB 531",
  address =      "44221 Dortmund, Germany",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://sfbci.uni-dortmund.de/index.php?option=com_wrapper&Itemid=180&lang=en",
  URL =          "http://sfbci.uni-dortmund.de/Publications/Reference/Downloads/BB09052001.pdf",
  URL =          "http://citeseer.ist.psu.edu/488546.html",
  abstract =     "Different variants of genetic operators are introduced
                 and compared for linear genetic programming including
                 program induction without crossover. Variation strength
                 of crossover and mutations is controlled based on the
                 genetic code. Effectivity of genetic operations
                 improves on code level and on fitness level. Thereby
                 algorithms for creating code efficient solutions are
  size =         "pages",

Genetic Programming entries for Markus Brameier Wolfgang Banzhaf