Reassembling Operator Equalisation: A Secret Revealed

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

@Article{Silva:2011:sigevo,
  author =       "Sara Silva",
  title =        "Reassembling Operator Equalisation: A Secret
                 Revealed",
  journal =      "SIGEVOlution",
  year =         "2010",
  volume =       "5",
  number =       "3",
  pages =        "10--22",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.sigevolution.org/issues/pdf/SIGEVOlution0503.pdf",
  size =         "13 pages",
  abstract =     "The recent Crossover Bias theory has shown that bloat
                 in Genetic Programming can be caused by the
                 proliferation of small unfit individuals in the
                 population. Inspired by this theory, Operator
                 Equalisation is the most recent and successful bloat
                 control method available. In this work we revisit two
                 bloat control methods, the old Brood Recombination and
                 the newer Dynamic Limits, hypothesising that together
                 they contain the two main ingredients that make
                 Operator Equalisation so successful. We reassemble
                 Operator Equalisation by joining these two ingredients
                 in a hybrid method, and test it in a hard real world
                 regression problem. The results are surprising.
                 Operator Equalisation and the hybrid variants exhibit
                 completely different behaviours, and an unexpected
                 feature of Operator Equalisation is revealed, one that
                 may be the true responsible for its success: a nearly
                 flat length distribution target. We support this
                 finding with additional results, and discuss its
                 implications.",
  notes =        "Announced Thu, Sep 22, 2011 at 2:28 PM",
}

Genetic Programming entries for Sara Silva

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