Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73837
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Title: Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach
Authors: Ng, KKH 
Lee, CKM 
Chan, FTS 
Qin, Y 
Issue Date: Oct-2017
Source: Transportation research. Part E, Logistics and transportation review, Oct. 2017, v. 106, p. 115-136
Abstract: This study considers the aircraft sequencing and scheduling problem under the uncertainty of arrival and departure delays for multiple heterogeneous mixed-mode parallel runways. To enhance runway resilience, runway operations should remain robust to mitigate the effects of delay propagation. The main objective of this research was to identify an optimal schedule by evaluating the robustness of feasible solutions under its respective worst-case scenario. A novel artificial bee colony algorithm was developed and verified by experimental results. The proposed efficient artificial bee colony algorithm can obtain close-to-optimal results with less computational effort in regard to a one-hour flight traffic planning horizon.
Keywords: Artificial bee colony algorithm
Min-max regret approach
Mixed-mode parallel runways
Robust scheduling
Swarm intelligence
Publisher: Pergamon Press
Journal: Transportation research. Part E, Logistics and transportation review 
ISSN: 1366-5545
EISSN: 1878-5794
DOI: 10.1016/j.tre.2017.08.006
Rights: © 2017 Elsevier Ltd. All rights reserved.
© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
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