Solving Even-Parity Problems using Traceless Genetic Programming

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

  title =        "Solving Even-Parity Problems using Traceless Genetic
  author =       "Mihai Oltean",
  volume =       "2",
  pages =        "1813--1819",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  email =        "",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 design \& evolvable hardware, traceless genetic
                 programming, parity",
  size =         "7 pages",
  URL =          "",
  DOI =          "doi:10.1109/CEC.2004.1331116",
  abstract =     "A new Genetic Programming (GP) variant called
                 Traceless Genetic Programming (TGP) is proposed in this
                 paper. The main difference between TGP and other GP
                 techniques is that TGP does not explicitly store the
                 evolved computer programs. TGP is applied for evolving
                 digital circuits for the even-parity problem. Numerical
                 experiments show that TGP outperforms standard GP with
                 several orders of magnitude.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 Also available at",

Genetic Programming entries for Mihai Oltean