Ensemble move acceptance in selection hyper-heuristics

Kheiri, Ahmed, Mısır, Mustafa and Özcan, Ender (2016) Ensemble move acceptance in selection hyper-heuristics. In: Computer and information sciences: 31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, proceedings. Communications in computer and information science (659). Springer, pp. 21-29. ISBN 978-3-319-47217-1

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Selection hyper-heuristics are high level search methodologies which control a set of low level heuristics while solving a given problem. Move acceptance is a crucial component of selection hyper-heuristics, deciding whether to accept or reject a new solution at each step during the search process. This study investigates group decision making strategies as ensemble methods exploiting the strengths of multiple move acceptance methods for improved performance. The empirical results indicate the success of the proposed methods across six combinatorial optimisation problems from a benchmark as well as an examination timetabling problem.

Item Type: Book Section
RIS ID: https://nottingham-repository.worktribe.com/output/809544
Keywords: Metaheuristic; Optimisation; Parameter control; Timetabling; Group decision making
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1007/978-3-319-47217-1_3
Depositing User: Ozcan, Dr Ender
Date Deposited: 04 Oct 2016 11:03
Last Modified: 04 May 2020 18:09
URI: https://eprints.nottingham.ac.uk/id/eprint/37336

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