Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InCollection{Burke:2010:HBMH,
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