The Influence of Population Size on Geometric Semantic GP

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

@InProceedings{Castelli:2014:SMGP,
  author =       "Mauro Castelli and Luca Manzoni and Sara Silva and 
                 Leonardo Vanneschi",
  title =        "The Influence of Population Size on Geometric Semantic
                 GP",
  booktitle =    "Semantic Methods in Genetic Programming",
  year =         "2014",
  editor =       "Colin Johnson and Krzysztof Krawiec and 
                 Alberto Moraglio and Michael O'Neill",
  address =      "Ljubljana, Slovenia",
  month =        "13 " # sep,
  note =         "Workshop at Parallel Problem Solving from Nature 2014
                 conference",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Castelli.pdf",
  size =         "2 pages",
  abstract =     "In this work we study the influence of the population
                 size on the learning ability of Geometric Semantic
                 Genetic Programming (GSGP) for the task of symbolic
                 regression. The results show that having small
                 populations results on a better training fitness with
                 respect to the use of large populations after the same
                 number of fitness evaluations. However, models obtained
                 with large populations show a better performance on
                 unseen data.",
  notes =        "SMGP 2014",
}

Genetic Programming entries for Mauro Castelli Luca Manzoni Sara Silva Leonardo Vanneschi

Citations