A Conditional Dependency Based Probabilistic Model Building Grammatical Evolution

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@Article{journals/ieicet/KimKA16a,
  title =        "A Conditional Dependency Based Probabilistic Model
                 Building Grammatical Evolution",
  author =       "Hyun-Tae Kim and Hyun-Kyu Kang and Chang Wook Ahn",
  journal =      "IEICE Transactions",
  year =         "2016",
  number =       "7",
  volume =       "99-D",
  pages =        "1937--1940",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1745-1361",
  bibdate =      "2016-07-28",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/ieicet/ieicet99d.html#KimKA16a",
  URL =          "http://search.ieice.org/bin/summary.php?id=e99-d_7_1937",
  abstract =     "In this paper, a new approach to grammatical evolution
                 is presented. The aim is to generate complete programs
                 using probabilistic modelling and sampling of
                 (probability) distribution of given grammars. To be
                 exact, probabilistic context free grammars are employed
                 and a modified mapping process is developed to create
                 new individuals from the distribution of grammars. To
                 consider problem structures in the individual
                 generation, conditional dependencies between production
                 rules are incorporated into the mapping process.
                 Experiments confirm that the proposed algorithm is more
                 effective than existing methods.",
}

Genetic Programming entries for Hyun-Tae Kim Hyun-Kyu Kang Chang Wook Ahn

Citations