A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming

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@Article{Hong:2018:ASC,
  author =       "Libin Hong and John H. Drake and John R. Woodward and 
                 Ender Ozcan",
  title =        "A hyper-heuristic approach to automated generation of
                 mutation operators for evolutionary programming",
  journal =      "Applied Soft Computing",
  year =         "2018",
  volume =       "62",
  pages =        "162--175",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 programming, Automatic design, Hyper-heuristics,
                 Continuous optimisation",
  ISSN =         "1568-4946",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1568494617306051",
  DOI =          "doi:10.1016/j.asoc.2017.10.002",
  size =         "14 pages",
  abstract =     "Evolutionary programming can solve black-box function
                 optimisation problems by evolving a population of
                 numerical vectors. The variation component in the
                 evolutionary process is supplied by a mutation
                 operator, which is typically a Gaussian, Cauchy, or
                 Levy probability distribution. In this paper, we use
                 genetic programming to automatically generate mutation
                 operators for an evolutionary programming system,
                 testing the proposed approach over a set of function
                 classes, which represent a source of functions. The
                 empirical results over a set of benchmark function
                 classes illustrate that genetic programming can evolve
                 mutation operators which generalise well from the
                 training set to the test set on each function class.
                 The proposed method is able to outperform existing
                 human designed mutation operators with statistical
                 significance in most cases, with competitive results
                 observed for the rest.",
  notes =        "hyperheuristic. Supplement C. Also known as
                 \cite{HONG2018162}",
}

Genetic Programming entries for Libin Hong John H Drake John R Woodward Ender Ozcan

Citations