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Ensemble move acceptance in selection hyper-heuristics. / Kheiri, Ahmed; Mısır, Mustafa; Özcan, Ender.
Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings. ed. / Ricardo Lent; Erol Gelenbe; Tadeusz Czachórski; Krzysztof Grochla. Springer Verlag, 2016. p. 21-29 (Communications in Computer and Information Science; Vol. 659).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Kheiri, A, Mısır, M & Özcan, E 2016,
Ensemble move acceptance in selection hyper-heuristics. in R Lent, E Gelenbe, T Czachórski & K Grochla (eds),
Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings. Communications in Computer and Information Science, vol. 659, Springer Verlag, pp. 21-29, 31st International Symposium on Computer and Information Sciences, ISCIS 2016, Kraków, Poland,
27/10/16.
https://doi.org/10.1007/978-3-319-47217-1_3APA
Kheiri, A., Mısır, M., & Özcan, E. (2016).
Ensemble move acceptance in selection hyper-heuristics. In R. Lent, E. Gelenbe, T. Czachórski, & K. Grochla (Eds.),
Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings (pp. 21-29). (Communications in Computer and Information Science; Vol. 659). Springer Verlag.
https://doi.org/10.1007/978-3-319-47217-1_3Vancouver
Kheiri A, Mısır M, Özcan E.
Ensemble move acceptance in selection hyper-heuristics. In Lent R, Gelenbe E, Czachórski T, Grochla K, editors, Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings. Springer Verlag. 2016. p. 21-29. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-47217-1_3
Author
Kheiri, Ahmed ; Mısır, Mustafa ; Özcan, Ender. /
Ensemble move acceptance in selection hyper-heuristics. Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings. editor / Ricardo Lent ; Erol Gelenbe ; Tadeusz Czachórski ; Krzysztof Grochla. Springer Verlag, 2016. pp. 21-29 (Communications in Computer and Information Science).
Bibtex
@inproceedings{2c535fd4ad7145b6b8400f45aef74854,
title = "Ensemble move acceptance in selection hyper-heuristics",
abstract = "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.",
keywords = "Group decision making, Metaheuristic, Optimisation, Parameter control, Timetabling",
author = "Ahmed Kheiri and Mustafa Mısır and Ender {\"O}zcan",
year = "2016",
month = sep,
day = "24",
doi = "10.1007/978-3-319-47217-1_3",
language = "English",
isbn = "9783319472164",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "21--29",
editor = "Ricardo Lent and Erol Gelenbe and Tadeusz Czach{\'o}rski and Krzysztof Grochla",
booktitle = "Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings",
address = "Germany",
note = "31st International Symposium on Computer and Information Sciences, ISCIS 2016 ; Conference date: 27-10-2016 Through 28-10-2016",
}
RIS
TY - GEN
T1 - Ensemble move acceptance in selection hyper-heuristics
AU - Kheiri, Ahmed
AU - Mısır, Mustafa
AU - Özcan, Ender
PY - 2016/9/24
Y1 - 2016/9/24
N2 - 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.
AB - 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.
KW - Group decision making
KW - Metaheuristic
KW - Optimisation
KW - Parameter control
KW - Timetabling
U2 - 10.1007/978-3-319-47217-1_3
DO - 10.1007/978-3-319-47217-1_3
M3 - Conference contribution/Paper
AN - SCOPUS:84989285852
SN - 9783319472164
T3 - Communications in Computer and Information Science
SP - 21
EP - 29
BT - Computer and Information Sciences - 31st International Symposium, ISCIS 2016, Proceedings
A2 - Lent, Ricardo
A2 - Gelenbe, Erol
A2 - Czachórski, Tadeusz
A2 - Grochla, Krzysztof
PB - Springer Verlag
T2 - 31st International Symposium on Computer and Information Sciences, ISCIS 2016
Y2 - 27 October 2016 through 28 October 2016
ER -
