Parallel linear genetic programming for multi-class classification

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Downey:2012:GPEM,
  author =       "Carlton Downey and Mengjie Zhang and Jing Liu",
  title =        "Parallel linear genetic programming for multi-class
                 classification",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2012",
  volume =       "13",
  number =       "3",
  pages =        "275--304",
  month =        sep,
  note =         "Special issue on selected papers from the 2011
                 European conference on genetic programming",
  keywords =     "genetic algorithms, genetic programming, Linear
                 genetic programming, Classification, Parallel
                 structure, Caching",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-012-9162-9",
  size =         "30 pages",
  abstract =     "Motivated by biological inspiration and the issue of
                 instruction disruption, we develop a new form of Linear
                 Genetic Programming (LGP) called Parallel LGP (PLGP)
                 for classification problems. PLGP programs consist of
                 multiple lists of instructions. These lists are
                 executed in parallel after which the resulting vectors
                 are combined to produce the classification result. PLGP
                 limits the disruptive effects of crossover and
                 mutation, which allows PLGP to significantly outperform
                 regular LGP. Furthermore, PLGP programs are naturally
                 suited to caching due to their parallel architecture.
                 Although caching techniques have been used in tree
                 based GP, to our knowledge, there are no caching
                 techniques specifically developed for LGP. Thus, a
                 novel caching technique is also developed with the
                 intrinsic properties of PLGP in mind, which can
                 decrease fitness evaluation time by almost an order of
                 magnitude for the classification problems.",
  notes =        "Jing Liu = http://see.xidian.edu.cn/faculty/liujing/
                 EuroGP 2011 \cite{Silva:2011:GP}",
  affiliation =  "School of Engineering and Computer Science, Victoria
                 University of Wellington, Wellington, New Zealand",
}

Genetic Programming entries for Carlton Downey Mengjie Zhang Jing Liu

Citations