[Seeding Methods for Run Transferable Libraries] Capturing Domain Relevant Functionality through Schematic Manipulation for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3733

@InProceedings{Murphy:2007:FBIT,
  author =       "G. Murphy and C. Ryan and D. Howard",
  title =        "[Seeding Methods for Run Transferable Libraries]
                 Capturing Domain Relevant Functionality through
                 Schematic Manipulation for Genetic Programming",
  booktitle =    "Proceedings of the 2007 International Conference
                 Frontiers in the Convergence of Bioscience and
                 Information Technologies (FBIT 2007)",
  year =         "2007",
  pages =        "769--772",
  address =      "Jeju Island, Korea",
  month =        oct # " 11-13",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-7695-2999-8",
  doi =          "doi:10.1109/FBIT.2007.101",
  abstract =     "This paper applies a recently developed technique of
                 expression structure analysis and parametric
                 distribution to the generation of functional content
                 relevant to the problem domain. This functional basis
                 set will then be iteratively sampled by a GP system as
                 part of the Run Transferable Libraries process. We
                 introduce a new algorithm for adapting the schematic
                 templates discovered by such an analysis into a family
                 of related functional expressions, differentiated by
                 the number of arguments to the abstraction and the
                 ordering of those arguments within the body of the
                 function. Furthermore we investigate techniques to
                 reduce redundancy within the family of functions
                 generated by the parameter assignment, which
                 consequently decreases the set of functions to be
                 sampled by RTL, further improving performance. We
                 validate that this technique is able to discover
                 germane functionality within the context of the problem
                 domain and that the library generated by this approach
                 is competitive with a library hand designed with the
                 optimal function set.",
  notes =        "Biocomputing & Dev. Syst., Limerick Univ., Limerick",
}

Genetic Programming entries for Gearoid Murphy Conor Ryan Daniel Howard

Citations