Absolute Percent Error Based Fitness Functions for Evolving Forecast Models

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@InProceedings{DBLP:conf/flairs/NovobilskiK01,
  author =       "Andy Novobilski and Farhad A. Kamangar",
  title =        "Absolute Percent Error Based Fitness Functions for
                 Evolving Forecast Models",
  booktitle =    "Proceedings of the Fourteenth International Florida
                 Artificial Intelligence Research Society Conference",
  year =         "2001",
  editor =       "Ingrid Russell and John F. Kolen",
  pages =        "591--595",
  address =      "Key West, Florida, USA",
  month =        may # " 21-23",
  publisher =    "AAAI Press",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  keywords =     "genetic algorithms, genetic programming, Bayesian
                 Networks, datamining",
  ISBN =         "1-57735-133-9",
  URL =          "http://www.aaai.org/Papers/FLAIRS/2001/FLAIRS01-113.pdf",
  size =         "5 pages",
  abstract =     "One aspect of evolutionary computing as a method of
                 data mining, is its intrinsic ability to drive model
                 selection according to a mixed set of criteria. Based
                 on natural selection, evolutionary computing uses
                 evaluation of candidate solutions according to a
                 fitness criteria that might or might not share the
                 exact same implementation as the metric used to measure
                 the performance of the selected solution. This paper
                 presents the results of using four different fitness
                 functions to evolve naive Bayesian networks based on a
                 combination of Mean Absolute Percent Error and Worst
                 Absolute Percent Error values for individual population
                 members. In addition to the error measurements from
                 both the training and forecast evaluations, data is
                 presented that shows APE for individual members during
                 the forecast generation and evaluation phase",
  notes =        "FLAIRS 2001 Conference
                 http://www.aaai.org/Press/Proceedings/flairs01.php",
}

Genetic Programming entries for Andrew J Novobilski Farhad A Kamangar

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