On Improving Generalisation in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Costelloe:2009:eurogp,

• 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

Citations