General Program Synthesis Benchmark Suite

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Helmuth:2015:GECCO,
  author =       "Thomas Helmuth and Lee Spector",
  title =        "General Program Synthesis Benchmark Suite",
  booktitle =    "GECCO '15: Proceedings of the 2015 Annual Conference
                 on Genetic and Evolutionary Computation",
  year =         "2015",
  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",
  isbn13 =       "978-1-4503-3472-3",
  pages =        "1039--1046",
  keywords =     "genetic algorithms, genetic programming",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739480.2754769",
  DOI =          "doi:10.1145/2739480.2754769",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  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.",
  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