Adaptation of Representation in Genetic Programming

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

  author =       "Cezary Z. Janikow and Rahul A Deshpande",
  title =        "Adaptation of Representation in Genetic Programming",
  booktitle =    "Smart Engineering System Design: Neural Networks,
                 Fuzzy Logic, Evolutionary Programming, Complex Systems,
                 and Artificial Life (ANNIE'2003)",
  editor =       "Cihan H. Dagli and Anna L. Buczak and 
                 Joydeep Ghosh and Mark J. Embrechts and Okan Ersoy",
  pages =        "45--50",
  publisher =    "ASME Press",
  month =        "2-5 " # nov,
  year =         "2003",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "This paper discusses our initial work on automatically
                 adapting Genetic Programming (GP) representation. We
                 present here two independent techniques: AMS and ACE.
                 Both techniques are based on Constrained GP (CGP),
                 which uses mutation set methodology to prune the
                 representation space according to some context-specific
                 constraints. The ASM technique monitors the performance
                 of local context heuristics when used in
                 mutation/crossover, during GP evolution, and
                 dynamically modifies the heuristics. The ACE technique
                 iterates complete CGP runs and then uses the
                 distribution information from the best solutions to
                 adjust the heuristics for the next iteration. As the
                 results indicate, GP is able to gain substantial
                 performance improvements as well as learn qualitative
  notes =        "",

Genetic Programming entries for Cezary Z Janikow Rahul A Deshpande