Learning Recursive Functions with Object Oriented Genetic Programming

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

  author =       "Alexandros Agapitos and Simon M. Lucas",
  title =        "Learning Recursive Functions with Object Oriented
                 Genetic Programming",
  editor =       "Pierre Collet and Marco Tomassini and Marc Ebner and 
                 Steven Gustafson and Anik\'o Ek\'art",
  booktitle =    "Proceedings of the 9th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3905",
  year =         "2006",
  address =      "Budapest, Hungary",
  month =        "10 - 12 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-33143-3",
  pages =        "166--177",
  DOI =          "doi:10.1007/11729976_15",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "This paper describes the evolution of recursive
                 functions within an Object-Oriented Genetic Programming
                 (OOGP) system. We evolved general solutions to
                 factorial, Fibonacci, exponentiation, even-n-Parity,
                 and nth-3. We report the computational effort required
                 to evolve these methods and provide a comparison
                 between crossover and mutation variation operators, and
                 also undirected random search. We found that the
                 evolutionary algorithms performed much better than
                 undirected random search, and that mutation
                 outperformed crossover on most problems.",
  notes =        "Part of \cite{collet:2006:GP} EuroGP'2006 held in
                 conjunction with EvoCOP2006 and EvoWorkshops2006

                 Java reflection.",

Genetic Programming entries for Alexandros Agapitos Simon M Lucas