A Classification of Hyper-heuristics Approaches

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

  author =       "Edmund K. Burke and Matthew Hyde and 
                 Graham Kendall and Gabriela Ochoa and Ender Ozcan and 
                 John R. Woodward",
  title =        "A Classification of Hyper-heuristics Approaches",
  booktitle =    "Handbook of Metaheuristics",
  publisher =    "Springer",
  year =         "2010",
  editor =       "Michel Gendreau and Jean-Yves Potvin",
  volume =       "57",
  series =       "International Series in Operations Research \&
                 Management Science",
  chapter =      "15",
  pages =        "449--468",
  edition =      "2nd",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-4419-1663-1",
  URL =          "http://www.cs.nott.ac.uk/~gxo/papers/ChapterClassHH.pdf",
  DOI =          "doi:10.1007/978-1-4419-1665-5_15",
  abstract =     "The current state of the art in hyper-heuristic
                 research comprises a set of approaches that share the
                 common goal of automating the design and adaptation of
                 heuristic methods to solve hard computational search
                 problems. The main goal is to produce more generally
                 applicable search methodologies. In this chapter we
                 present and overview of previous categorisations of
                 hyper-heuristics and provide a unified classification
                 and definition which captures the work that is being
                 undertaken in this field. We distinguish between two
                 main hyper-heuristic categories: heuristic selection
                 and heuristic generation. Some representative examples
                 of each category are discussed in detail. Our goal is
                 to both clarify the main features of existing
                 techniques and to suggest new directions for
                 hyper-heuristic research.",

Genetic Programming entries for Edmund Burke Matthew R Hyde Graham Kendall Gabriela Ochoa Ender Ozcan John R Woodward