General Program Synthesis Benchmark Suite
Created by W.Langdon from
gp-bibliography.bib Revision:1.5776
- @InProceedings{Helmuth:2015:GECCO,
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author = "Thomas Helmuth and Lee Spector",
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title = "General Program Synthesis Benchmark Suite",
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booktitle = "GECCO '15: Proceedings of the 2015 Annual Conference
on Genetic and Evolutionary Computation",
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year = "2015",
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editor = "Sara Silva and Anna I Esparcia-Alcazar and
Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and
Christine Zarges and Luis Correia and Terence Soule and
Mario Giacobini and Ryan Urbanowicz and
Youhei Akimoto and Tobias Glasmachers and
Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and
Marta Soto and Carlos Cotta and Francisco B. Pereira and
Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and
Heike Trautmann and Jean-Baptiste Mouret and
Sebastian Risi and Ernesto Costa and Oliver Schuetze and
Krzysztof Krawiec and Alberto Moraglio and
Julian F. Miller and Pawel Widera and Stefano Cagnoni and
JJ Merelo and Emma Hart and Leonardo Trujillo and
Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and
Carola Doerr",
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isbn13 = "978-1-4503-3472-3",
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pages = "1039--1046",
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keywords = "genetic algorithms, genetic programming",
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month = "11-15 " # jul,
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organisation = "SIGEVO",
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address = "Madrid, Spain",
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URL = "
http://doi.acm.org/10.1145/2739480.2754769",
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DOI = "
doi:10.1145/2739480.2754769",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Recent interest in the development and use of
non-trivial benchmark problems for genetic programming
research has highlighted the scarcity of general
program synthesis (also called traditional programming)
benchmark problems. We present a suite of 29 general
program synthesis benchmark problems systematically
selected from sources of introductory computer science
programming problems. This suite is suitable for
experiments with any program synthesis system driven by
input/output examples. We present results from
illustrative experiments using our reference
implementation of the problems in the PushGP genetic
programming system. The results show that the problems
in the suite vary in difficulty and can be useful for
assessing the capabilities of a program synthesis
system.",
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notes = "Also known as \cite{2754769} GECCO-2015 A joint
meeting of the twenty fourth international conference
on genetic algorithms (ICGA-2015) and the twentith
annual genetic programming conference (GP-2015)",
- }
Genetic Programming entries for
Thomas Helmuth
Lee Spector
Citations