Self-Adaptive Hyperheuristic and Greedy Search

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Robert E. Keller and Riccardo Poli",
  title =        "Self-Adaptive Hyperheuristic and Greedy Search",
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "3801--3808",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0809.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631313",
  abstract =     "In previous work, we have introduced an effective and
                 resource-efficient hyperheuristic that uses Genetic
                 Programming as its search heuristic on the space of
                 heuristics. Here, we show that the hyperheuristic
                 performs better than purely greedy and even only mostly
                 greedy flavours of hill climbing. We also introduce a
                 generic principle that allows the hyperheuristic to
                 automatically find good parameter values for its
                 effective and efficient search.",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for Robert E Keller Riccardo Poli