Evolving classifiers to model the relationship between strategy and corporate performance using grammatical evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

@InProceedings{brabazon:2002:EuroGP,
  title =        "Evolving classifiers to model the relationship between
                 strategy and corporate performance using grammatical
                 evolution",
  author =       "Anthony Brabazon and Michael O'Neill and 
                 Conor Ryan and Robin Matthews",
  editor =       "James A. Foster and Evelyne Lutton and 
                 Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
  booktitle =    "Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002",
  volume =       "2278",
  series =       "LNCS",
  pages =        "103--112",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  publisher =    "Springer-Verlag",
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  ISBN =         "3-540-43378-3",
  DOI =          "doi:10.1007/3-540-45984-7_10",
  abstract =     "This study examines the potential of grammatical
                 evolution to construct a linear classifier to predict
                 whether a firm's corporate strategy will increase or
                 decrease shareholder wealth. Shareholder wealth is
                 measured using a relative fitness criterion, the change
                 in a firm's market-value-added ranking in the
                 Stern-Stewart Performance 1000 list, over a four year
                 period, 1992-1996. Model inputs and structure are
                 selected by means of grammatical evolution. The best
                 classifier correctly categorised the direction of
                 performance ranking change in 66.38percent of the firms
                 in the training set and 65percent in the out-of-sample
                 validation set providing support for a hypothesis that
                 changes in corporate strategy are linked to changes in
                 corporate performance.",
  notes =        "EuroGP'2002, part of \cite{lutton:2002:GP}",
}

Genetic Programming entries for Anthony Brabazon Michael O'Neill Conor Ryan Robin Matthews

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