[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:1.7964
- @InProceedings{Murphy:2007:FBIT,
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author = "G. Murphy and C. Ryan and D. Howard",
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title = "[Seeding Methods for Run Transferable Libraries]
Capturing Domain Relevant Functionality through
Schematic Manipulation for Genetic Programming",
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booktitle = "Proceedings of the 2007 International Conference
Frontiers in the Convergence of Bioscience and
Information Technologies (FBIT 2007)",
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year = "2007",
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pages = "769--772",
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address = "Jeju Island, Korea",
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month = oct # " 11-13",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-0-7695-2999-8",
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DOI = "doi:10.1109/FBIT.2007.101",
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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.",
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notes = "Biocomputing & Dev. Syst., Limerick Univ., Limerick",
- }
Genetic Programming entries for
Gearoid Murphy
Conor Ryan
Daniel Howard
Citations