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http://hdl.handle.net/1893/20323| Appears in Collections: | Computing Science and Mathematics Journal Articles |
| Peer Review Status: | Refereed |
| Title: | Searching the Hyper-heuristic Design Space |
| Author(s): | Swan, Jerry Woodward, John Ozcan, Ender Kendall, Graham Burke, Edmund |
| Contact Email: | john.r.woodward@stir.ac.uk |
| Keywords: | Hyper-heuristics Metaheuristics Optimization Machine-learning Blackboard architecture |
| Issue Date: | Mar-2014 |
| Date Deposited: | 21-May-2014 |
| Citation: | Swan J, Woodward J, Ozcan E, Kendall G & Burke E (2014) Searching the Hyper-heuristic Design Space. Cognitive Computation, 6 (1), pp. 66-73. https://doi.org/10.1007/s12559-013-9201-8 |
| Abstract: | We extend a previous mathematical formulation of hyper-heuristics to reflect the emerging generalization of the concept. We show that this leads naturally to a recursive definition of hyper-heuristics and to a division of responsibility that is suggestive of a blackboard architecture, in which individual heuristics annotate a shared workspace with information that may also be exploited by other heuristics. Such a framework invites consideration of the kind of relaxations of the domain barrier that can be achieved without loss of generality. We give a concrete example of this architecture with an application to the 3-SAT domain that significantly improves on a related token-ring hyper-heuristic. |
| DOI Link: | 10.1007/s12559-013-9201-8 |
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| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Cogn Comput 2014.pdf | Fulltext - Published Version | 606.77 kB | Adobe PDF | Under Embargo until 3000-01-01 Request a copy |
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