Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{zhang:1996:aigp2,
  author =       "Byoung-Tak Zhang and Heinz M{\"u}hlenbein",
  title =        "Adaptive Fitness Functions for Dynamic Growing/Pruning
                 of Program Trees",
  booktitle =    "Advances in Genetic Programming 2",
  publisher =    "MIT Press",
  year =         "1996",
  editor =       "Peter J. Angeline and K. E. {Kinnear, Jr.}",
  pages =        "241--256",
  chapter =      "12",
  address =      "Cambridge, MA, USA",
  keywords =     "genetic algorithms, genetic programming, Occam's
                 Razor, minimum description length (MDL), neural trees,
                 adaptive fitness functions",
  ISBN =         "0-262-01158-1",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277536",
  size =         "16 pages",
  abstract =     "An adaptive method for fitness evaluation is described
                 that dynamically guides genetic programming to grow and
                 prune program trees. The method is based on the minimum
                 description length principle and evolves parsimonious
                 solutions while preventing premature convergence. The
                 effectiveness of the adaptive fitness functions is
                 shown by evolving neural programs for modelling
                 technical and environmental systems.",
}

Genetic Programming entries for Byoung-Tak Zhang Heinz Muhlenbein

Citations