Genetic programming needs better benchmarks

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  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",
  title =        "Genetic programming needs better benchmarks",
  booktitle =    "GECCO '12: Proceedings of the fourteenth international
                 conference on Genetic and evolutionary computation
  year =         "2012",
  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",
  isbn13 =       "978-1-4503-1177-9",
  pages =        "791--798",
  keywords =     "genetic algorithms, genetic programming",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330163.2330273",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  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.",
  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

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