Program Search with a Hierarchical Variable Length Representation: Genetic Programming, Simulated Annealing and Hill Climbing

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{OReilly:1994:GPSAHC,
  author =       "Una-May O'Reilly and Franz Oppacher",
  title =        "Program Search with a Hierarchical Variable Length
                 Representation: Genetic Programming, Simulated
                 Annealing and Hill Climbing",
  booktitle =    "Parallel Problem Solving from Nature -- PPSN III",
  year =         "1994",
  editor =       "Yuval Davidor and Hans-Paul Schwefel and 
                 Reinhard Manner",
  series =       "Lecture Notes in Computer Science",
  number =       "866",
  pages =        "397--406",
  address =      "Jerusalem",
  publisher_address = "Berlin, Germany",
  month =        "9-14 " # oct,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-58484-6",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/ppsn-94.ps.gz",
  URL =          "http://citeseer.ist.psu.edu/oreilly94program.html",
  URL =          "http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-58484-6",
  DOI =          "doi:10.1007/3-540-58484-6_283",
  size =         "10 pages",
  abstract =     "This paper presents a comparison of Genetic
                 Programming(GP) with Simulated Annealing (SA) and
                 Stochastic Iterated Hill Climbing (SIHC) based on a
                 suite of program discovery problems which have been
                 previously tackled only with GP. All three search
                 algorithms employ the hierarchical variable length
                 representation for programs brought into recent
                 prominence with the GP paradigm. We feel it is not
                 intuitively obvious that mutation-based adaptive search
                 can handle program discovery yet, to date, for each GP
                 problem we have tried, SA or SIHC also work.",
  notes =        "PPSN3

                 A longer version is SFI Technical Report 94-04-021.",
  size =         "10 pages",
}

Genetic Programming entries for Una-May O'Reilly Franz Oppacher

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