Genetic programming needs better benchmarks
Created by W.Langdon from
gp-bibliography.bib Revision:1.4951
- @InProceedings{McDermott:2012:GECCO,
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author = "James McDermott and David R. White and Sean Luke and
Luca Manzoni and Mauro Castelli and
Leonardo Vanneschi and Wojciech Jaskowski and Krzysztof Krawiec and
Robin Harper and Kenneth {De Jong} and Una-May O'Reilly",
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title = "Genetic programming needs better benchmarks",
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booktitle = "GECCO '12: Proceedings of the fourteenth international
conference on Genetic and evolutionary computation
conference",
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year = "2012",
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editor = "Terry Soule and Anne Auger and Jason Moore and
David Pelta and Christine Solnon and Mike Preuss and
Alan Dorin and Yew-Soon Ong and Christian Blum and
Dario Landa Silva and Frank Neumann and Tina Yu and
Aniko Ekart and Will Browne and Tim Kovacs and
Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and
Giovanni Squillero and Nicolas Bredeche and
Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and
Martin Pelikan and Silja Meyer-Nienberg and
Christian Igel and Greg Hornby and Rene Doursat and
Steve Gustafson and Gustavo Olague and Shin Yoo and
John Clark and Gabriela Ochoa and Gisele Pappa and
Fernando Lobo and Daniel Tauritz and Jurgen Branke and
Kalyanmoy Deb",
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isbn13 = "978-1-4503-1177-9",
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pages = "791--798",
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keywords = "genetic algorithms, genetic programming",
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month = "7-11 " # jul,
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organisation = "SIGEVO",
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address = "Philadelphia, Pennsylvania, USA",
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DOI = "
doi:10.1145/2330163.2330273",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Genetic programming (GP) is not a field noted for the
rigor of its benchmarking. Some of its benchmark
problems are popular purely through historical
contingency, and they can be criticized as too easy or
as providing misleading information concerning
real-world performance, but they persist largely
because of inertia and the lack of good alternatives.
Even where the problems themselves are impeccable,
comparisons between studies are made more difficult by
the lack of standardization. We argue that the
definition of standard benchmarks is an essential step
in the maturation of the field. We make several
contributions towards this goal. We motivate the
development of a benchmark suite and define its goals;
we survey existing practice; we enumerate many
candidate benchmarks; we report progress on reference
implementations; and we set out a concrete plan for
gathering feedback from the GP community that would, if
adopted, lead to a standard set of benchmarks.",
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notes = "GP Benchmarks Also known as \cite{2330273} GECCO-2012
A joint meeting of the twenty first international
conference on genetic algorithms (ICGA-2012) and the
seventeenth annual genetic programming conference
(GP-2012)",
- }
Genetic Programming entries for
James McDermott
David Robert White
Sean Luke
Luca Manzoni
Mauro Castelli
Leonardo Vanneschi
Wojciech Jaskowski
Krzysztof Krawiec
Robin Harper
Kenneth De Jong
Una-May O'Reilly
Citations