Evolving Structured Programs with Hierarchical Instructions and Skip Nodes

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

  author =       "Rafal Salustowicz and Juergen Schmidhuber",
  title =        "Evolving Structured Programs with Hierarchical
                 Instructions and Skip Nodes",
  booktitle =    "Proceedings of the Fifteenth International Conference
                 on Machine Learning, ICML'98",
  year =         "1998",
  editor =       "Jude Shavlik",
  pages =        "488--496",
  address =      "Madison, Wisconsin, USA",
  month =        jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, Probabilistic
                 Incremental Program Evolution, Structured Programs,
                 Hierarchical Programs, Non-Coding Segments",
  ISBN =         "1-55860-556-8",
  URL =          "ftp://ftp.idsia.ch/pub/juergen/ICML98_H-PIPE.ps.gz",
  URL =          "http://citeseer.ist.psu.edu/salustowicz98evolving.html",
  size =         "pages",
  abstract =     "To evolve structured programs we introduce H-PIPE, a
                 hierarchical extension of Probabilistic Incremental
                 Program Evolution (PIPE - Salustowicz and Schmidhuber,
                 1997). Structure is induced by {"}hierarchical
                 instructions{"} (HIs) limited to top-level, structuring
                 program parts. {"}Skip nodes{"} (SNs) allow for
                 switching program parts on and off. They facilitate
                 synthesis of certain structured programs. In our
                 experiments H-PIPE outperforms PIPE: structural bias
                 can speed up program synthesis.",
  notes =        "ICML'98 http://www.cs.wisc.edu/icml98/ See also

Genetic Programming entries for Rafal Salustowicz Jurgen Schmidhuber