Please use this identifier to cite or link to this item: 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
Authors: 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
Publisher: Springer
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.
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.
Type: Journal Article
URI: http://hdl.handle.net/1893/20323
DOI Link: http://dx.doi.org/10.1007/s12559-013-9201-8
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Computing Science - CSM Dept
Computing Science and Mathematics
University of Nottingham
University of Nottingham
Deputy Principal's Office

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