Exploiting Subprograms in Genetic Programming
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- @InProceedings{Fine:2017:GPTP,
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author = "Steven B. Fine and Erik Hemberg and
Krzysztof Krawiec and Una-May O'Reilly",
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title = "Exploiting Subprograms in Genetic Programming",
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booktitle = "Genetic Programming Theory and Practice XV",
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editor = "Wolfgang Banzhaf and Randal S. Olson and
William Tozier and Rick Riolo",
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year = "2017",
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series = "Genetic and Evolutionary Computation",
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pages = "1--16",
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address = "University of Michigan in Ann Arbor, USA",
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month = may # " 18--20",
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organisation = "the Center for the Study of Complex Systems",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-319-90511-2",
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URL = "https://link.springer.com/chapter/10.1007/978-3-319-90512-9_1",
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DOI = "doi:10.1007/978-3-319-90512-9_1",
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abstract = "Compelled by the importance of subprogram behaviour,
we investigate how much Behavioural Genetic Programming
is sensitive to model bias. We experimentally compare
two different decision tree algorithms analysing
whether it is possible to see significant performance
differences given that the model techniques select
different subprograms and differ in how accurately they
can regress subprogram behavior on desired outputs. We
find no remarkable difference between REPTree and CART
in this regard, though for a modest fraction of our
datasets we find that one algorithm results in superior
error reduction than the other. We also investigate
alternative ways to identify useful subprograms beyond
examining those within one program. We propose a means
of identifying subprograms from different programs that
work well together. This method combines behavioral
traces from multiple programs and uses the information
derived from modelling the combined program traces.",
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notes = "GPTP 2017, Part of \cite{Banzhaf:2017:GPTP} published
after the workshop in 2018",
- }
Genetic Programming entries for
Steven B Fine
Erik Hemberg
Krzysztof Krawiec
Una-May O'Reilly
Citations