Development of Data Miner for the Ship Design Based on Polynomial Genetic Programming

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

@InProceedings{DBLP:conf/ausai/LeeOP06,
  author =       "Kyung Ho Lee and June Oh and Jong Hoon Park",
  title =        "Development of Data Miner for the Ship Design Based on
                 Polynomial Genetic Programming",
  booktitle =    "Australian Conference on Artificial Intelligence",
  year =         "2006",
  pages =        "981--985",
  editor =       "Abdul Sattar and Byeong Ho Kang",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4304",
  address =      "Hobart, Australia",
  month =        dec # " 4-8",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  keywords =     "genetic algorithms, genetic programming, PGP,
                 regularisation",
  ISBN =         "3-540-49787-0",
  DOI =          "doi:10.1007/11941439_108",
  size =         "5 pages",
  abstract =     "Engineering data contains the experiences and know-how
                 of experts. Data mining technique is useful to extract
                 knowledge or information from the accumulated existing
                 data. This paper deals with generating optimal
                 polynomials using genetic programming (GP) as the
                 module of Data Miner. The Data Miner for the ship
                 design based on polynomial genetic programming is
                 presented.",
}

Genetic Programming entries for Kyung Ho Lee Jong Hoon Park Jong Hoon Park

Citations