An Analysis of Memetic Crossover's Impact on a Population

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Brent E. Eskridge and Dean F. Hougen",
  title =        "An Analysis of Memetic Crossover's Impact on a
  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 =        "6844--6850",
  address =      "Vancouver",
  month =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-9487-9",
  DOI =          "doi:10.1109/CEC.2006.1688546",
  size =         "7 pages",
  abstract =     "In problem domains such as robotic control, where the
                 evaluation of an individual significantly dominates the
                 rest of the evolutionary process with respect to time,
                 the viability of an evolutionary approach can be called
                 into question. In an effort to minimise the number of
                 evaluations by maximising the learning that takes place
                 during an evaluation, a new crossover operator for
                 genetic programming, memetic crossover, was recently
                 introduced. This work analyses the genealogical impact
                 of this operator at varying levels. Although diversity,
                 both in terms of individuals and nodes, is reduced in
                 memetic crossover, we show that memetic crossover is
                 capable of working with standard",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D",

Genetic Programming entries for Brent E Eskridge Dean F Hougen