Layered Learning in Boolean GP Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "David Jackson and Adrian P. Gibbons",
  title =        "Layered Learning in {Boolean} GP Problems",
  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 =        "148--159",
  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_14",
  abstract =     "Layered learning is a decomposition and reuse
                 technique that has proved to be effective in the
                 evolutionary solution of difficult problems. Although
                 previous work has integrated it with genetic
                 programming (GP), much of the application of that
                 research has been in relation to multi-agent systems.
                 In extending this work, we have applied it to more
                 conventional GP problems, specifically those involving
                 Boolean logic. We have identified two approaches which,
                 unlike previous methods, do not require prior
                 understanding of a problem's functional decomposition
                 into sub-goals. Experimentation indicates that although
                 one of the two approaches offers little advantage, the
                 other leads to solution-finding performance
                 significantly surpassing that of both conventional GP
                 systems and those which incorporate automatically
                 defined functions.",
  notes =        "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and

Genetic Programming entries for David Jackson Adrian P Gibbons