Co-evolutionary Rule-Chaining Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/ideal/ShumLW05,
  title =        "Co-evolutionary Rule-Chaining Genetic Programming",
  author =       "Wing-Ho Shum and Kwong-Sak Leung and Man Leung Wong",
  year =         "2005",
  pages =        "546--554",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3578",
  booktitle =    "Intelligent Data Engineering and Automated Learning -
                 IDEAL 2005, 6th International Conference, Proceedings",
  editor =       "Marcus Gallagher and James M. Hogan and 
                 Fr{\'e}d{\'e}ric Maire",
  address =      "Brisbane, Australia",
  month =        jul # " 6-8",
  bibdate =      "2005-06-23",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ideal/ideal2005.html#ShumLW05",
  keywords =     "genetic algorithms, genetic programming, Agents and
                 Complex Systems",
  ISBN =         "3-540-26972-X",
  DOI =          "doi:10.1007/11508069_71",
  size =         "9 pages",
  abstract =     "Genetic Programming (GP) paradigm called
                 Co-evolutionary Rule-Chaining Genetic Programming
                 (CRGP) has been proposed to learn the relationships
                 among attributes represented by a set of classification
                 rules for multi-class problems. It employs backward
                 chaining inference to carry out classification based on
                 the acquired acyclic rule set. Its main advantages are:
                 1) it can handle more than one class at a time; 2) it
                 avoids cyclic result; 3) unlike Bayesian Network (BN),
                 the CRGP can handle input attributes with continuous
                 values directly; and 4) with the flexibility of GP,
                 CRGP can learn complex relationship. We have
                 demonstrated its better performance on one synthetic
                 and one real-life medical data sets.",
  notes =        "(1) Department of Computer Science and Engineering,
                 The Chinese University of Hong Kong, Shatin, Hong Kong
                 (2) Department of Information Systems, Lingnan
                 University, Tuen Mun, Hong Kong",
}

Genetic Programming entries for Wing-Ho Shum Kwong-Sak Leung Man Leung Wong

Citations