The reliability of confidence intervals for computational effort comparisons

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{1277294,
  author =       "Matthew Walker and Howard Edwards and Chris Messom",
  title =        "The reliability of confidence intervals for
                 computational effort comparisons",
  booktitle =    "GECCO '07: Proceedings of the 9th annual conference on
                 Genetic and evolutionary computation",
  year =         "2007",
  editor =       "Dirk Thierens and Hans-Georg Beyer and 
                 Josh Bongard and Jurgen Branke and John Andrew Clark and 
                 Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and 
                 Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and 
                 Julian F. Miller and Jason Moore and Frank Neumann and 
                 Martin Pelikan and Riccardo Poli and Kumara Sastry and 
                 Kenneth Owen Stanley and Thomas Stutzle and 
                 Richard A Watson and Ingo Wegener",
  volume =       "2",
  isbn13 =       "978-1-59593-697-4",
  pages =        "1716--1723",
  address =      "London",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p1716.pdf",
  DOI =          "doi:10.1145/1276958.1277294",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  month =        "7-11 " # jul,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, confidence
                 intervals, measurement, Wilson's method",
  abstract =     "This paper analyses the reliability of confidence
                 intervals for Koza's computational effort statistic.
                 First, we conclude that dependence between the observed
                 minimum generation and the observed cumulative
                 probability of success leads to the production of more
                 reliable confidence intervals for our preferred method.
                 Second, we show that confidence intervals from 80% to
                 95% have appropriate levels of performance. Third,
                 simulated data is used to consider the effect of large
                 minimum generations and the confidence intervals are
                 again found to be reliable. Finally, results from four
                 large datasets collected from real genetic programming
                 experiments are used to provide even more empirical
                 evidence that the method for producing confidence
                 intervals is reliable.",
  notes =        "GECCO-2007 A joint meeting of the sixteenth
                 international conference on genetic algorithms
                 (ICGA-2007) and the twelfth annual genetic programming
                 conference (GP-2007).

                 ACM Order Number 910071",
}

Genetic Programming entries for Matthew Walker Howard Edwards Chris Messom

Citations