A fuzzy evolutionary framework for combining ensembles

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@Article{Tsakonas:2013:ASC,
  author =       "Athanasios Tsakonas and Bogdan Gabrys",
  title =        "A fuzzy evolutionary framework for combining
                 ensembles",
  journal =      "Applied Soft Computing",
  volume =       "13",
  number =       "4",
  pages =        "1800--1812",
  year =         "2013",
  keywords =     "genetic algorithms, genetic programming, Ensemble
                 systems, Function approximation, Fuzzy rule based
                 systems",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2012.12.027",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1568494612005716",
  abstract =     "We propose an evolutionary framework for the
                 production of fuzzy rule bases where each rule executes
                 an ensemble of predictors. The architecture, the rule
                 base and the composition of the ensembles are evolved
                 over time. To achieve this, we employ a context-free
                 grammar within a hybrid genetic programming system
                 using a multi-population model. As base predictors,
                 multilayer perceptron neural networks and support
                 vector machines are available. We apply the system to
                 several function approximation and regression tasks and
                 compare the results with recent research and
                 state-of-the-art models. We conclude that the proposed
                 architecture is competitive and has a number of very
                 desirable features supporting automation of predictive
                 model building and their adaptation over time. Finally,
                 we suggest further potential research directions.",
}

Genetic Programming entries for Athanasios D Tsakonas Bogdan Gabrys

Citations