The Royal Tree Problem, a Benchmark for Single and Multiple Population Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{punch:1996:aigp2,
  author =       "William F. Punch and Douglas Zongker and 
                 Erik D. Goodman",
  title =        "The Royal Tree Problem, a Benchmark for Single and
                 Multiple Population Genetic Programming",
  booktitle =    "Advances in Genetic Programming 2",
  publisher =    "MIT Press",
  year =         "1996",
  editor =       "Peter J. Angeline and K. E. {Kinnear, Jr.}",
  pages =        "299--316",
  chapter =      "15",
  address =      "Cambridge, MA, USA",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-01158-1",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277533",
  size =         "18 pages",
  abstract =     "We report on work done to develop a benchmark problem
                 for genetic programming, both as a difficult problem to
                 test GP abilities and as a platform for tuning GP
                 parameters. This benchmark, the royal tree, is a
                 function that accounts for tree shape as part of its
                 evaluation function, thus it controls for a parameter
                 not often found in the GP literature. It also is a
                 progressive function, allowing the user to set the
                 difficulty of the problem attempted. We not only
                 describe the function, but also report on results of
                 using island parallelism for solving GP problems. The
                 results obtained are somewhat surprising, as it appears
                 that a single large population outperforms a group of
                 smaller populations under all the conditions tested.",
  notes =        "

                 Also available as GARAGe96-01-01",
}

Genetic Programming entries for William F Punch Douglas Zongker Erik Goodman

Citations