Ensemble move acceptance in selection hyper-heuristics
Publication
, Conference
Kheiri, A; Mısır, M; Özcan, E
Published in: Communications in Computer and Information Science
January 1, 2016
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 hyperheuristics, 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.
Duke Scholars
Published In
Communications in Computer and Information Science
DOI
ISSN
1865-0929
Publication Date
January 1, 2016
Volume
659
Start / End Page
21 / 29
Citation
APA
Chicago
ICMJE
MLA
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Kheiri, A., Mısır, M., & Özcan, E. (2016). Ensemble move acceptance in selection hyper-heuristics. In Communications in Computer and Information Science (Vol. 659, pp. 21–29). https://doi.org/10.1007/978-3-319-47217-1_3
Kheiri, A., M. Mısır, and E. Özcan. “Ensemble move acceptance in selection hyper-heuristics.” In Communications in Computer and Information Science, 659:21–29, 2016. https://doi.org/10.1007/978-3-319-47217-1_3.
Kheiri A, Mısır M, Özcan E. Ensemble move acceptance in selection hyper-heuristics. In: Communications in Computer and Information Science. 2016. p. 21–9.
Kheiri, A., et al. “Ensemble move acceptance in selection hyper-heuristics.” Communications in Computer and Information Science, vol. 659, 2016, pp. 21–29. Scopus, doi:10.1007/978-3-319-47217-1_3.
Kheiri A, Mısır M, Özcan E. Ensemble move acceptance in selection hyper-heuristics. Communications in Computer and Information Science. 2016. p. 21–29.
Published In
Communications in Computer and Information Science
DOI
ISSN
1865-0929
Publication Date
January 1, 2016
Volume
659
Start / End Page
21 / 29