Differential evolution of constants in genetic programming improves efficacy and bloat

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

@InProceedings{Mukherjee:2012:GECCOcomp,
  author =       "Shreya Mukherjee and Margaret J. Eppstein",
  title =        "Differential evolution of constants in genetic
                 programming improves efficacy and bloat",
  booktitle =    "GECCO 2012 Late breaking abstracts workshop",
  year =         "2012",
  editor =       "Katya Rodriguez and Christian Blum",
  isbn13 =       "978-1-4503-1178-6",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "625--626",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330784.2330891",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We employ a variant of Differential Evolution (DE) for
                 co-evolution of real coefficients in Genetic
                 Programming (GP). This GP+DE method is applied to 30
                 randomly generated symbolic regression problems of
                 varying difficulty. Expressions were evolved on
                 sparsely sampled points, but were evaluated for
                 accuracy using densely sampled points over much wider
                 ranges of inputs. The GP+DE had successful runs on 25
                 of 30 problems, whereas GP using Ephemeral Random
                 Constants succeeded on only 6 and the multi-objective
                 GP Eureqa on only 18. Although nesting DE slows down
                 each GP generation significantly, successful GP+DE runs
                 required many fewer GP generations than the other
                 methods and, in nearly all cases, the number of nodes
                 in the best evolved trees were smaller in GP+DE than
                 with the other GP methods.",
  notes =        "Also known as \cite{2330891} Distributed at
                 GECCO-2012.

                 ACM Order Number 910122.",
}

Genetic Programming entries for Shreya Mukherjee Margaret J Eppstein

Citations