Performance Enhanced Genetic Programming

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

  author =       "Chris Clack and Tina Yu",
  title =        "Performance Enhanced Genetic Programming",
  booktitle =    "Proceedings of the Sixth Conference on Evolutionary
  year =         "1997",
  editor =       "Peter J. Angeline and Robert G. Reynolds and 
                 John R. McDonnell and Russ Eberhart",
  volume =       "1213",
  series =       "Lecture Notes in Computer Science",
  pages =        "87--100",
  address =      "Indianapolis, Indiana, USA",
  publisher_address = "Berlin",
  month =        apr # " 13-16",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-62788-3",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/BFb0014803",
  size =         "14 pages",
  abstract =     "Genetic Programming is increasing in popularity as the
                 basis for a wide range of learning algorithms. However,
                 the technique has to date only been successfully
                 applied to modest tasks because of the performance
                 overheads of evolving a large number of data
                 structures, many of which do not correspond to a valid
                 program. We address this problem directly and
                 demonstrate how the evolutionary process can be
                 achieved with much greater efficiency through the use
                 of a formally-based representation and strong typing.
                 We report initial experimental results which
                 demonstrate that our technique exhibits significantly
                 better performance than previous work.",
  notes =        "EP-97",

Genetic Programming entries for Christopher D Clack Tina Yu