Improving the Tartarus Problem as a Benchmark in Genetic Programming
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gp-bibliography.bib Revision:1.8081
- @InProceedings{Griffiths:2017:EuroGP,
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author = "Thomas D. Griffiths and Aniko Ekart",
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title = "Improving the Tartarus Problem as a Benchmark in
Genetic Programming",
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booktitle = "EuroGP 2017: Proceedings of the 20th European
Conference on Genetic Programming",
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year = "2017",
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month = "19-21 " # apr,
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editor = "Mauro Castelli and James McDermott and
Lukas Sekanina",
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series = "LNCS",
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volume = "10196",
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publisher = "Springer Verlag",
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address = "Amsterdam",
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pages = "278--293",
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organisation = "species",
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keywords = "genetic algorithms, genetic programming: Poster",
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isbn13 = "978-3-319-55695-6",
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DOI = "doi:10.1007/978-3-319-55696-3_18",
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abstract = "For empirical research on computer algorithms, it is
essential to have a set of benchmark problems on which
the relative performance of different methods and their
applicability can be assessed. In the majority of
computational research fields there are established
sets of benchmark problems; however, the field of
genetic programming lacks a similarly rigorously
defined set of benchmarks. There is a strong interest
within the genetic programming community to develop a
suite of benchmarks. Following recent surveys, the
desirable characteristics of a benchmark problem are
now better defined. In this paper the Tartarus problem
is proposed as a tunably difficult benchmark problem
for use in Genetic Programming. The justification for
this proposal is presented, together with guidance on
its usage as a benchmark.",
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notes = "Part of \cite{Castelli:2017:GP} EuroGP'2017 held
inconjunction with EvoCOP2017, EvoMusArt2017 and
EvoApplications2017",
- }
Genetic Programming entries for
Thomas D Griffiths
Aniko Ekart
Citations