An Algorithmic Chemistry for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Christian Lasarczyk and Wolfgang Banzhaf",
  editor =       "Maarten Keijzer and Andrea Tettamanzi and 
                 Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
  title =        "An Algorithmic Chemistry for Genetic Programming",
  booktitle =    "Proceedings of the 8th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3447",
  year =         "2005",
  address =      "Lausanne, Switzerland",
  month =        "30 " # mar # " - 1 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-25436-6",
  pages =        "1--12",
  URL =          "",
  DOI =          "doi:10.1007/b107383",
  bibsource =    "DBLP,",
  abstract =     "Genetic Programming has been slow at realizing other
                 programming paradigms than conventional, deterministic,
                 sequential von- Neumann type algorithms. In this
                 contribution we discuss a new method of execution of
                 programs introduced recently: Algorithmic Chemistries.
                 Therein, register machine instructions are executed in
                 a non-deterministic order, following a probability
                 distribution. Program behaviour is thus highly
                 dependent on frequency of instructions and connectivity
                 between registers. Here we demonstrate the performance
                 of GP on evolving solutions to a parity problem in a
                 system of this type.",
  notes =        "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
                 conjunction with EvoCOP2005 and EvoWorkshops2005",

Genetic Programming entries for Christian W G Lasarczyk Wolfgang Banzhaf