Warren G. Jackson
Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
Jackson, Warren G.; Özcan, Ender; John, Robert I.
Robert I. John
A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies on two core components, a method for selecting a heuristic to apply at a given point, and a method to decide whether or not to accept the result of the heuristic application. In this paper, we present an initial study of a fuzzy system to control the list-size parameter of late- acceptance move acceptance method as a selection hyper-heuristic component. The performance of the fuzzy controlled selection hyper-heuristic is compared to its fixed parameter version and the best hyper-heuristic from a competition on the MAX-SAT problem domain. The results illustrate that a fuzzy control system can potentially be effective within a hyper-heuristic improving its performance.
|Start Date||Sep 8, 2014|
|Publication Date||Sep 10, 2014|
|Publisher||Institute of Electrical and Electronics Engineers|
|Peer Reviewed||Peer Reviewed|
|Book Title||2014 14th UK Workshop on Computational Intelligence (UKCI)|
|APA6 Citation||Jackson, W. G., Özcan, E., & John, R. I. (2014). Fuzzy adaptive parameter control of a late acceptance hyper-heuristic. In 2014 14th UK Workshop on Computational Intelligence (UKCI)|
|Keywords||Arrays; Control systems; Convergence; Fuzzy control; Linear programming; Search problems|
|Copyright Statement||Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf|
|Additional Information||doi: 10.1109/UKCI.2014.6930167
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Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
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