Memory with Memory in Tree-based Genetic Programming

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

  author =       "Riccardo Poli and Nicholas McPhee and Luca Citi and 
                 Ellery Crane",
  title =        "Memory with Memory in Tree-based Genetic Programming",
  booktitle =    "Proceedings of the 12th European Conference on Genetic
                 Programming, EuroGP 2009",
  year =         "2009",
  editor =       "Leonardo Vanneschi and Steven Gustafson and 
                 Alberto Moraglio and Ivanoe {De Falco} and Marc Ebner",
  volume =       "5481",
  series =       "LNCS",
  pages =        "25--36",
  address =      "Tuebingen",
  month =        apr # " 15-17",
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-01180-1",
  DOI =          "doi:10.1007/978-3-642-01181-8_3",
  size =         "12 pages",
  abstract =     "In recent work on linear register-based genetic
                 programming (GP) we introduced the notion of
                 Memory-with-Memory (MwM), where the results of
                 operations are stored in registers using a form of soft
                 assignment which blends a result into the current
                 content of a register rather than entirely replace it.
                 The MwM system yielded very promising results on a set
                 of symbolic regression problems. In this paper, we
                 propose a way of introducing MwM style behaviour in
                 treebased GP systems. The technique requires only very
                 minor modifications to existing code, and, therefore,
                 is easy to apply. Experiments on a variety of synthetic
                 and real-world problems show that MwM is very
                 beneficial in tree-based GP, too.",
  notes =        "Part of \cite{conf/eurogp/2009} EuroGP'2009 held in
                 conjunction with EvoCOP2009, EvoBIO2009 and

Genetic Programming entries for Riccardo Poli Nicholas Freitag McPhee Luca Citi Ellery Fussell Crane