A Novel Diversity Measure of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Naoki Mori",
  title =        "A Novel Diversity Measure of Genetic Programming",
  booktitle =    "Randomness and Computation: Joint Workshop ``New
                 Horizons in Computing'' and ``Statistical Mechanical
                 Approach to Probabilistic Information Processing''",
  year =         "2005",
  address =      "Sendai International Center, Sendai, Japan",
  month =        "18-21 " # jul,
  note =         "Extended Abstract",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.smapip.is.tohoku.ac.jp/~smapip/2005/NHC+SMAPIP/ExtendedAbstracts/NaokiMori.pdf",
  size =         "2 pages",
  abstract =     "To solve this problem, I propose a novel diversity
                 measure in genetic programming by means of subtree
                 entropy. I also propose a tree simplification method
                 which removes redundancy parts from an individual
                 genotype. To show an advantage of our methods, the
                 computational experiments are carried out taking a
                 symbolic regression problem as an example.y",
  notes =        "SMAPIP: Statistical-Mechanical Approach to
                 Probabilistic Information Processing

Genetic Programming entries for Naoki Mori