A Study on Genetic Programming with Layered Learning and Incremental Sampling

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  title =        "A Study on Genetic Programming with Layered Learning
                 and Incremental Sampling",
  author =       "Thi Hien Nguyen and Xuan Hoai Nguyen and 
                 Robert Ian McKay",
  pages =        "1184--1190",
  booktitle =    "Proceedings of the 2011 IEEE Congress on Evolutionary
  year =         "2011",
  editor =       "Alice E. Smith",
  month =        "5-8 " # jun,
  address =      "New Orleans, USA",
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2011.5949750",
  abstract =     "In this paper, we investigate the impact of a layered
                 learning approach with incremental sampling on Genetic
                 Programming (GP). The new system, called GPLL, is
                 tested and compared with standard GP on twelve symbolic
                 regression problems. While GPLL does not differ from
                 standard GP on univariate target functions, it has
                 better training efficiency on problems with bivariate
                 targets. This indicates the potential usefulness of
                 layered learning with incremental sampling in improving
                 the efficiency of GP evolutionary learning.",
  notes =        "CEC2011 sponsored by the IEEE Computational
                 Intelligence Society, and previously sponsored by the
                 EPS and the IET.",

Genetic Programming entries for Nguyen Thi Hien Nguyen Xuan Hoai R I (Bob) McKay