Fuzzy adaptive parameter control of a late acceptance hyper-heuristic

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 presen...

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Main Authors: Jackson, Warren G., Özcan, Ender, John, Robert I.
Format: Conference or Workshop Item
Published: 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/27771/
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author Jackson, Warren G.
Özcan, Ender
John, Robert I.
author_facet Jackson, Warren G.
Özcan, Ender
John, Robert I.
author_sort Jackson, Warren G.
building Nottingham Research Data Repository
collection Online Access
description 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.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
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publishDate 2014
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spelling nottingham-277712020-05-04T20:16:54Z https://eprints.nottingham.ac.uk/27771/ Fuzzy adaptive parameter control of a late acceptance hyper-heuristic Jackson, Warren G. Özcan, Ender John, Robert I. 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. 2014 Conference or Workshop Item PeerReviewed Jackson, Warren G., Özcan, Ender and John, Robert I. (2014) Fuzzy adaptive parameter control of a late acceptance hyper-heuristic. In: 14th UK Workshop on Computational Intelligence UKCI2014, 8-10 Sept 2014, University of Bradford. Arrays; Control systems; Convergence; Fuzzy control; Linear programming; Search problems http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6930167
spellingShingle Arrays; Control systems; Convergence; Fuzzy control; Linear programming; Search problems
Jackson, Warren G.
Özcan, Ender
John, Robert I.
Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
title Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
title_full Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
title_fullStr Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
title_full_unstemmed Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
title_short Fuzzy adaptive parameter control of a late acceptance hyper-heuristic
title_sort fuzzy adaptive parameter control of a late acceptance hyper-heuristic
topic Arrays; Control systems; Convergence; Fuzzy control; Linear programming; Search problems
url https://eprints.nottingham.ac.uk/27771/
https://eprints.nottingham.ac.uk/27771/