A Self-Selecting Crossover Operator

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

  author =       "Robin Harper and Alan Blair",
  title =        "A Self-Selecting Crossover Operator",
  booktitle =    "Proceedings of the 2006 IEEE Congress on Evolutionary
  year =         "2006",
  editor =       "Gary G. Yen and Lipo Wang and Piero Bonissone and 
                 Simon M. Lucas",
  pages =        "5569--5576",
  address =      "Vancouver",
  month =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Grammatical
  ISBN =         "0-7803-9487-9",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=",
  URL =          "http://www.cse.unsw.edu.au/~blair/pubs/2006HarperBlairSSCO.pdf",
  DOI =          "doi:10.1109/CEC.2006.1688475",
  size =         "8 pages",
  abstract =     "This paper compares the efficacy of different
                 crossover operators for Grammatical Evolution across a
                 typical numeric regression problem and a typical data
                 classification problem. Grammatical Evolution is an
                 extension of Genetic Programming, in that it is an
                 algorithm for evolving complete programs in an
                 arbitrary language. Each of the two main crossover
                 operators struggles (for different reasons) to achieve
                 100percent correct solutions. A mechanism is proposed,
                 allowing the evolutionary algorithm to self-select the
                 type of crossover used and this is shown to improve the
                 rate of generating 100percent successful solutions.",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D",

Genetic Programming entries for Robin Harper Alan Blair