The Automatic Generation of Programs for Classification Problems with Grammatical Swarm

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@InProceedings{oneill:2004:tagopfcpwgs,
  title =        "The Automatic Generation of Programs for
                 Classification Problems with Grammatical Swarm",
  author =       "Michael O'Neill and Anthony Brabazon and 
                 Catherine Adley",
  pages =        "104--110",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Swarm
                 Intelligence, gramatical evolution",
  DOI =          "doi:10.1109/CEC.2004.1330844",
  abstract =     "This case study examines the application of
                 Grammatical Swarm to classification problems, and
                 illustrates the Particle Swarm algorithms' ability to
                 specify the construction of programs. Each individual
                 particle represents choices of program construction
                 rules, where these rules are specified using a
                 Backus-Naur Form grammar. Two problem instances are
                 tackled, for the first problem we generate solutions
                 that take the form of conditional statements in a
                 C-like language subset, and for the second problem we
                 generate simple regular expressions. The results
                 demonstrate that it is possible to generate programs
                 using the Grammatical Swarm technique with a
                 performance similar to the Grammatical Evolution
                 evolutionary automatic programming approach.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Michael O'Neill Anthony Brabazon Catherine Adley

Citations