Confidence intervals of success rates in evolutionary computation

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "David F. Barrero and David Camacho and 
                 Maria D. R-Moreno",
  title =        "Confidence intervals of success rates in evolutionary
  booktitle =    "GECCO '10: Proceedings of the 12th annual conference
                 on Genetic and evolutionary computation",
  year =         "2010",
  editor =       "Juergen Branke and Martin Pelikan and Enrique Alba and 
                 Dirk V. Arnold and Josh Bongard and 
                 Anthony Brabazon and Juergen Branke and Martin V. Butz and 
                 Jeff Clune and Myra Cohen and Kalyanmoy Deb and 
                 Andries P Engelbrecht and Natalio Krasnogor and 
                 Julian F. Miller and Michael O'Neill and Kumara Sastry and 
                 Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and 
                 Carsten Witt",
  isbn13 =       "978-1-4503-0072-8",
  pages =        "975--976",
  keywords =     "Genetic programming: Poster",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830483.1830657",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Success Rate (SR) is a statistic straightforward to
                 use and interpret, however a number of non-trivial
                 statistical issues arises when it is examined in
                 detail. We address some of those issues, providing
                 evidence that suggests that SR follows a binomial
                 density function, therefore its statistical properties
                 are independent of the flavour of the Evolutionary
                 Algorithm (EA) and its domain. It is fully described by
                 the SR and the number of runs. Moreover, the binomial
                 distribution is a well known statistical distribution
                 with a large corpus of tools available that can be used
                 in the context of EC research.One of those tools,
                 confidence intervals (CIs), is studied.",
  notes =        "Santa Fe trail artificial ant Also known as
                 \cite{1830657} GECCO-2010 A joint meeting of the
                 nineteenth international conference on genetic
                 algorithms (ICGA-2010) and the fifteenth annual genetic
                 programming conference (GP-2010)",

Genetic Programming entries for David F Barrero David Camacho Ma Dolores Rodriguez Moreno