A Genetic Programming Approach to Hyper-Heuristic Feature Selection

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

@InProceedings{Hunt:2012:SEAL,
  author =       "Rachel Hunt and Kourosh Neshatian and Mengjie Zhang",
  title =        "A Genetic Programming Approach to Hyper-Heuristic
                 Feature Selection",
  booktitle =    "The Ninth International Conference on Simulated
                 Evolution And Learning, SEAL 2012",
  year =         "2012",
  editor =       "Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and 
                 Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan",
  volume =       "7673",
  series =       "Lecture Notes in Computer Science",
  pages =        "320--330",
  address =      "Vietnam",
  month =        dec # " 16-19",
  organisation = "Faculty of Information Technology, Le Quy Don
                 Technical University",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-34858-7",
  DOI =          "doi:10.1007/978-3-642-34859-4_32",
  size =         "11 pages",
  abstract =     "Feature selection is the task of finding a subset of
                 original features which is as small as possible yet
                 still sufficiently describes the target concepts.
                 Feature selection has been approached through both
                 heuristic and meta-heuristic approaches.
                 Hyper-heuristics are search methods for choosing or
                 generating heuristics or components of heuristics, to
                 solve a range of optimisation problems. This paper
                 proposes a genetic-programming-based hyper-heuristic
                 approach to feature selection. The proposed method
                 evolves new heuristics using some basic components
                 (building blocks). The evolved heuristics act as new
                 search algorithms that can search the space of subsets
                 of features. The classification performance (accuracy)
                 of classifiers are improved by using small subsets of
                 features found by evolved heuristics.",
}

Genetic Programming entries for Rachel Hunt Kourosh Neshatian Mengjie Zhang

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