Data Mining of Genetic Programming Run Logs

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Vic Ciesielski and Xiang Li",
  title =        "Data Mining of Genetic Programming Run Logs",
  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
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4445",
  year =         "2007",
  address =      "Valencia, Spain",
  month =        "11-13 " # apr,
  pages =        "281--290",
  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_26",
  abstract =     "We have applied a range of data mining techniques to a
                 data base of log file records created from genetic
                 programming runs on twelve different problems. We have
                 looked for unexpected patterns, or golden nuggets in
                 the data. Six were found. The main discoveries were a
                 surprising amount of evaluation of duplicate programs
                 across the twelve problems and one case of pathological
                 behaviour which suggested a review of the genetic
                 programming configuration. For problems with expensive
                 fitness evaluation, the results suggest that there
                 would be considerable speedup by caching evolved
                 programs and fitness values. A data mining analysis
                 performed routinely in a GP application could identify
                 problems early and lead to more effective genetic
                 programming applications.",
  notes =        "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and

Genetic Programming entries for Victor Ciesielski Xiang Li