Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process

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

  author =       "Alexandru-Ciprian Zavoianu and Gabriel Kronberger and 
                 Michael Kommenda and Daniela Zaharie and 
                 Michael Affenzeller",
  title =        "Improving the Parsimony of Regression Models for an
                 Enhanced Genetic Programming Process",
  booktitle =    "13th International Conference on Computer Aided
                 Systems Theory, EUROCAST 2011",
  year =         "2011",
  editor =       "Roberto Moreno-Diaz and Franz Pichler and 
                 Alexis Quesada-Arencibia",
  volume =       "6927",
  series =       "Lecture Notes in Computer Science",
  pages =        "264--271",
  address =      "Las Palmas de Gran Canaria, Spain",
  month =        feb # " 6-11",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, symbolic
                 regression, solution parsimony, bloat control",
  isbn13 =       "978-3-642-27548-7",
  DOI =          "doi:10.1007/978-3-642-27549-4_34",
  abstract =     "This research is focused on reducing the average size
                 of the solutions generated by an enhanced GP process
                 without affecting the high predictive accuracy the
                 method exhibits when being applied on a complex,
                 industry proposed, regression problem. As such, the
                 effects the GP enhancements have on bloat have been
                 studied and, finally, a bloat control system based on
                 dynamic depth limiting (DDL) and iterated tournament
                 pruning (ITP) was designed. The resulting bloat control
                 system is able to improve by about 40percent the
                 average GP solution parsimony without impacting average
                 solution accuracy.",
  notes =        "Revised Selected Papers.
  affiliation =  "Department of Computer Science, West University of
                 Timisoara, Romania",
  bibdate =      "2012-02-01",
  bibsource =    "DBLP,

Genetic Programming entries for Ciprian Zavoianu Gabriel Kronberger Michael Kommenda Daniela Zaharie Michael Affenzeller