Book Chapter
Details
Citation
Swan J, Ozcan E & Kendall G (2011) HYPERION - A Recursive Hyper-Heuristic Framework. In: Coello-Coello C (ed.) Learning and Intelligent Optimization: 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011, Selected Papers. Lecture Notes in Computer Science, 6683. Berlin / Heidelberg: Springer, pp. 616-630. http://link.springer.com/book/10.1007/978-3-642-25566-3/page/1; https://doi.org/10.1007/978-3-642-25566-3_48
Abstract
Hyper-heuristics are methodologies used to search the space of heuristics for solving computationally difficult problems. We describe an object-oriented domain analysis for hyper-heuristics that orthogonally decomposes the domain into generative policy components. The framework facilitates the recursive instantiation of hyper-heuristics over hyper-heuristics, allowing further exploration of the possibilities implied by the hyper-heuristic concept. We describe Hyperion, a JavaTM class library implementation of this domain analysis.
| Status | Published |
|---|---|
| Title of series | Lecture Notes in Computer Science |
| Number in series | 6683 |
| Publication date | 31/12/2011 |
| Publisher | Springer |
| Publisher URL | |
| Place of publication | Berlin / Heidelberg |
| ISSN of series | 0302-9743 |
| ISBN | 978-3-642-25565-6 |