Searching the Hyper-heuristic Design Space

被引:0
|
作者
Jerry Swan
John Woodward
Ender Özcan
Graham Kendall
Edmund Burke
机构
[1] University of Stirling,Computing Science and Mathematics, School of Natural Sciences
[2] University of Nottingham,School of Computer Science
来源
Cognitive Computation | 2014年 / 6卷
关键词
Hyper-heuristics; Metaheuristics; Optimization; Machine-learning; Blackboard architecture;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:66 / 73
页数:7
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