Confidence Intervals for Computational Effort Comparisons

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{eurogp07:walker,

• author = "Matthew Walker and Howard Edwards and Chris Messom",
• title = "Confidence Intervals for Computational Effort Comparisons",
• editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
• booktitle = "Proceedings of the 10th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "4445",
• year = "2007",
• address = "Valencia, Spain",
• month = "11-13 " # apr,
• pages = "23--32",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-71602-5",
• isbn13 = "978-3-540-71602-0",
• DOI = "doi:10.1007/978-3-540-71605-1_3",
• abstract = "When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one specific measure is standard, but Koza's computational effort statistic is frequently used. In this paper the use of Koza's statistic is discussed and a study is made of three methods that produce confidence intervals for the statistic. It is found that an approximate 95percent confidence interval can be easily produced.",
• notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in conjunction with EvoCOP2007, EvoBIO2007 and EvoWorkshops2007",

}

Genetic Programming entries for Matthew Walker Howard Edwards Chris Messom

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