Using Algorithm Configuration Tools to Optimize Genetic Programming Parameters: A Case Study
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{McPhee:2017:GECCOa,
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author = "Nicholas Freitag McPhee and Thomas Helmuth and
Lee Spector",
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title = "Using Algorithm Configuration Tools to Optimize
Genetic Programming Parameters: A Case Study",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4939-0",
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address = "Berlin, Germany",
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pages = "243--244",
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size = "2 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3076097",
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DOI = "doi:10.1145/3067695.3076097",
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acmid = "3076097",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, SMAC,
parameter optimization, pushGP, software synthesis",
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month = "15-19 " # jul,
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abstract = "We use Sequential Model-based Algorithm Configuration
(SMAC) to optimize a group of parameters for PushGP, a
stack-based genetic programming system, for several
software synthesis problems. Applying SMAC to one
particular problem leads to marked improvements in the
success rate and the speed with which a solution was
found for that problem. Applying these {"}tuned{"}
parameters to four additional problems, however, only
improved performance on one, and substantially reduced
performance on another. This suggests that SMAC is
overfitting, tuning the parameters in ways that are
highly problem specific, and raises doubts about the
value of using these {"}tuned{"} parameters on
previously unsolved problems. Efforts to use SMAC to
optimize PushGP parameters on other problems have been
less successful due to a combination of long PushGP run
times and low success rates, which make it hard for
SMAC to acquire enough information in a reasonable
amount of time.",
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notes = "Also known as \cite{McPhee:2017:UAC:3067695.3076097}
GECCO-2017 A Recombination of the 26th International
Conference on Genetic Algorithms (ICGA-2017) and the
22nd Annual Genetic Programming Conference (GP-2017)",
- }
Genetic Programming entries for
Nicholas Freitag McPhee
Thomas Helmuth
Lee Spector
Citations