On Improving Generalisation in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Dan Costelloe and Conor Ryan",
  title =        "On Improving Generalisation in Genetic Programming",
  booktitle =    "Proceedings of the 12th European Conference on Genetic
                 Programming, EuroGP 2009",
  year =         "2009",
  editor =       "Leonardo Vanneschi and Steven Gustafson and 
                 Alberto Moraglio and Ivanoe {De Falco} and Marc Ebner",
  volume =       "5481",
  series =       "LNCS",
  pages =        "61--72",
  address =      "Tuebingen",
  month =        apr # " 15-17",
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-01180-1",
  DOI =          "doi:10.1007/978-3-642-01181-8_6",
  size =         "12 pages",
  abstract =     "This paper is concerned with the generalisation
                 performance of GP. We examine the generalisation of GP
                 on some well-studied test problems and also critically
                 examine the performance of some well known GP
                 improvements from a generalisation perspective. From
                 this, the need for GP practitioners to provide more
                 accurate reports on the generalisation performance of
                 their systems on problems studied is highlighted. Based
                 on the results achieved, it is shown that improvements
                 in training performance thanks to GP-enhancements
                 represent only half of the battle.",
  notes =        "overfitting, Part of \cite{conf/eurogp/2009}
                 EuroGP'2009 held in conjunction with EvoCOP2009,
                 EvoBIO2009 and EvoWorkshops2009",

Genetic Programming entries for Dan Costelloe Conor Ryan