A New Genetic Programming Algorithm for Building Decision Tree

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@Article{Yi20113658,
  author =       "Li Yi and Kang Wanli",
  title =        "A New Genetic Programming Algorithm for Building
                 Decision Tree",
  journal =      "Procedia Engineering",
  volume =       "15",
  pages =        "3658--3662",
  year =         "2011",
  note =         "CEIS 2011",
  ISSN =         "1877-7058",
  DOI =          "doi:10.1016/j.proeng.2011.08.685",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1877705811021862",
  keywords =     "genetic algorithms, genetic programming, Decision
                 tree, Grouping, Representation",
  abstract =     "Genetic programming (GP) is a flexible and powerful
                 evolutionary technique with some special features that
                 are suitable for building a classifier of tree
                 representation. However, unsuitable step size of
                 editing operator will destroy the continuity of the
                 evolution. In this paper, we propose a multiage genetic
                 programming (MGP) algorithm to build a classifier on a
                 given training set. Individuals are grouped into
                 different groups according to their ages (tree size).
                 The competitions between individuals are limited in the
                 same groups. That prevents the structure editing
                 operators from destroying the continuity of the
                 evolution. The experimental results showed that the MGP
                 algorithm is superior to the traditional genetic
                 programming algorithm (GP) in building decision tree.",
}

Genetic Programming entries for Li Yi Kang Wanli

Citations