Testing a Novel Attribute Grammar Genetic Programming Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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