Better GP benchmarks: community survey results and proposals

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "David R. White and James McDermott and 
                 Mauro Castelli and Luca Manzoni and Brian W. Goldman and 
                 Gabriel Kronberger and Wojciech Jaskowski and 
                 Una-May O'Reilly and Sean Luke",
  title =        "Better {GP} benchmarks: community survey results and
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2013",
  volume =       "14",
  number =       "1",
  pages =        "3--29",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, benchmarks,
                 community survey",
  ISSN =         "1389-2576",
  URL =          "",
  DOI =          "doi:10.1007/s10710-012-9177-2",
  size =         "28 pages",
  abstract =     "We present the results of a community survey regarding
                 genetic programming benchmark practices. Analysis shows
                 broad consensus that improvement is needed in problem
                 selection and experimental rigour. While views
                 expressed in the survey dissuade us from proposing a
                 large-scale benchmark suite, we find community support
                 for creating a blacklist of problems which are in
                 common use but have important flaws, and whose use
                 should therefore be discouraged. We propose a set of
                 possible replacement problems.",
  notes =        "GP Benchmarks",

Genetic Programming entries for David Robert White James McDermott Mauro Castelli Luca Manzoni Brian W Goldman Gabriel Kronberger Wojciech Jaskowski Una-May O'Reilly Sean Luke