The effect of population enrichment in genetic programming

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

  author =       "John E. Perry",
  title =        "The effect of population enrichment in genetic
  booktitle =    "Proceedings of the 1994 IEEE World Congress on
                 Computational Intelligence",
  year =         "1994",
  volume =       "1",
  pages =        "456--461",
  address =      "Orlando, Florida, USA",
  month =        "27-29 " # jun,
  publisher =    "IEEE Press",
  DOI =          "doi:10.1109/ICEC.1994.349907",
  keywords =     "genetic algorithms, genetic programming",
  size =         "6 pages",
  abstract =     "The paper examines the effect of population enrichment
                 in genetic programming as a means of efficiently
                 discovering promising directions for solution
                 exploration in a large problem space. With genetic
                 programming it is advantageous to not restrict the size
                 or shape of the solution and enrichment offers an
                 efficient way to present the initial population with
                 interesting options for development. Multiple
                 abbreviated runs were made, using different random
                 seeds, to keep the size of the members small and save
                 processing time. The best member from each abbreviated
                 run was used to create an enriched population which was
                 loaded along with a full complement of randomly
                 generated unique members at the beginning of a
                 consolidated run",
  notes =        "GP betting on horse races! 40 runs with pop of 2000
                 but only run for 3 generations. Best of each of these
                 loaded into consolidated run with other 1960 members of
                 population generated at random. Whole run for 50
                 generations. Works better than 3 traditional runs.",

Genetic Programming entries for John E Perry