Steady State Genetic Programming with Constrained Complexity Crossover Using Species Sub Population

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{watson:1997:ssGPcccssp,
  author =       "Andrew H. Watson and Ian C. Parmee",
  title =        "Steady State Genetic Programming with Constrained
                 Complexity Crossover Using Species Sub Population",
  booktitle =    "Genetic Algorithms: Proceedings of the Seventh
                 International Conference",
  year =         "1997",
  editor =       "Thomas Back",
  pages =        "315--321",
  address =      "Michigan State University, East Lansing, MI, USA",
  publisher_address = "San Francisco, CA, USA",
  month =        "19-23 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-487-1",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga1997/Watson_1997_ssGPccc.pdf",
  size =         "7 pages",
  abstract =     "We introduce an alternative approach to Genetic
                 Programming (GP), which is based upon a steady state
                 population and a novel constrained complexity crossover
                 operator. This technique, called {"}DRAM-GP{"} (i.e.
                 Distributed, Rapid, Attenuated Memory Genetic
                 Programming), uses node complexity weightings as a
                 basis for speciation. The population is decomposed into
                 smaller sub-populations which communicate with each
                 other through the action of crossover. The
                 effectiveness of this method is demonstrated by
                 successful application to Boolean concept formation and
                 to symbolic regression problems. The results show that
                 improved performance is possible with a dramatic
                 reduction in population size and associated memory
                 requirements.",
  notes =        "ICGA-97",
}

Genetic Programming entries for Andrew H Watson Ian C Parmee

Citations