Co-evolutionary Rule-Chaining Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  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,
  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