Evolutioinary Combination of models in DSS based on Genetic Programming

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  author =       "Chaofan Dai and Yanghe Feng and Jianmai Shi",
  title =        "Evolutioinary Combination of models in DSS based on
                 Genetic Programming",
  journal =      "Journal of Software",
  year =         "2011",
  volume =       "6",
  number =       "3",
  pages =        "444--451",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, model base,
                 automatic model selection",
  ISSN =         "1796-217X",
  URL =          "http://ojs.academypublisher.com/index.php/jsw/article/download/0603444451/2812",
  DOI =          "doi:10.4304/jsw.6.3.444-451",
  size =         "8 pages",
  abstract =     "The efficiency of model-aided decision making relies
                 on the intelligent level of model selection. The
                 purpose of this paper is to develop a new algorithm for
                 model selection based on genetic programming. In the
                 algorithm, the meta-models are classified according to
                 the characteristics of the sample data, and the
                 combined models are built as tree format. The genetic
                 operations are performed under some constraints to
                 produce combination models for users' reference. The
                 process of the algorithm greatly decreases users'
                 dependence on domain knowledge.",
  notes =        "JSW",

Genetic Programming entries for Chaofan Dai Yanghe Feng Jianmai Shi