Testing a Novel Attribute Grammar Genetic Programming Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.3838

@InProceedings{conf/ichit/HowardR12,
  author =       "Daniel Howard and Conor Ryan",
  title =        "Testing a Novel Attribute Grammar Genetic Programming
                 Algorithm",
  booktitle =    "6th International Conference Convergence and Hybrid
                 Information Technology, ICHIT 2012",
  year =         "2012",
  editor =       "Geuk Lee and Daniel Howard and Jeong Jin Kang and 
                 Dominik Slezak",
  volume =       "7425",
  series =       "Lecture Notes in Computer Science",
  pages =        "224--231",
  address =      "Daejeon, Korea",
  month =        aug # " 23-25",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution, Attribute Grammar, Parallel Computing,
                 Automatic Parallelisation, Evolutionary Computation,
                 epigenetic diseases,stem cells",
  isbn13 =       "978-3-642-32644-8",
  DOI =          "doi:10.1007/978-3-642-32645-5_29",
  bibdate =      "2012-08-30",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ichit/ichit2012-1.html#HowardR12",
  size =         "8 pages",
  abstract =     "A novel algorithm uses standard Genetic Programming
                 (GP) to evolve an Attribute Grammar (AG) and this is
                 tested on a problem with known solution in automatic
                 code parallelisation. Standard GP first generates a
                 vector of real numbers and its elements are in turn
                 applied to the grammar. As the parse tree is being
                 produced the choices in the grammar depend on the
                 attributes being input to the current node of the parse
                 tree. Experiments reveal different levels of success at
                 finding solutions to different versions of the test
                 problem. It is speculated that the novel method may
                 find a role in computational medicine in stem cell
                 research and in the modelling of epigenetic disease.",
  notes =        "Tree GP generates variable length list of floats each
                 in the range 0.0 to 0.99999 which is used to navigate
                 through an attribute grammar which is then used to
                 define how programming 40 instructions are scheduled on
                 4 CPUs.",
}

Genetic Programming entries for Daniel Howard Conor Ryan

Citations