• DocumentCode
    2849634
  • Title

    Prune and Plant: A New Bloat Control Method for Genetic Programming

  • Author

    Alfaro-Cid, Eva ; Esparcia-Alcazar, A. ; Sharman, Ken ; de Vega, F.F. ; Merelo, J.J.

  • Author_Institution
    Inst. Tecnol. de Inf., UPV, Valencia
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    This paper reports a comparison of several bloat control methods and also evaluates a new proposal for limiting the size of the individuals: a genetic operator called prune and plant. The aim of this work is to prove the adequacy of this new method. Since a preliminary study of the method has already shown promising results, we have performed a thorough study in a set of benchmark problems aiming at demonstrating the utility of the new approach. Prune and plant has obtained results that maintain the quality of the final solutions in terms of fitness while achieving a substantial reduction of the mean tree size in all four problem domains considered. In addition, in one of these problem domains prune and plant has demonstrated to be better in terms of fitness, size reduction and time consumption than any of the other bloat control techniques under comparison.
  • Keywords
    genetic algorithms; mathematical operators; trees (mathematics); bloat control method; genetic operator; genetic programming; prune and plant; time consumption; tree size reduction; Control systems; Evolutionary computation; Genetic mutations; Genetic programming; Hybrid intelligent systems; Predictive models; Pressure control; Proposals; Size control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-0-7695-3326-1
  • Electronic_ISBN
    978-0-7695-3326-1
  • Type

    conf

  • DOI
    10.1109/HIS.2008.127
  • Filename
    4626601