Imitating Success: A Memetic Crossover Operator for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{eskridge:2004:isamcofgp,
  title =        "Imitating Success: A Memetic Crossover Operator for
                 Genetic Programming",
  author =       "Brent Eskridge and Dean Hougen",
  pages =        "809--815",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Theory of
                 evolutionary algorithms, Poster Session",
  DOI =          "doi:10.1109/CEC.2004.1330943",
  abstract =     "For some problem domains, the evaluation of
                 individuals is significantly more expensive than the
                 other steps in the evolutionary process. Minimizing
                 these evaluations is vital if we want to make genetic
                 programming a viable strategy. In order to minimize the
                 required evaluations, we need to maximize the amount
                 learned from each evaluation. To accomplish this we
                 introduce a new crossover operator for genetic
                 programming, memetic crossover, that allows individuals
                 to imitate the observed success of others. An
                 individual that has done poorly in some parts of the
                 problem may then imitate an individual that did well on
                 those same parts. This results in an intelligent search
                 of the feature-space and, therefore, fewer
                 evaluations.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Brent E Eskridge Dean F Hougen

Citations