Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66180
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Title: A modified variable neighborhood search for aircraft landing problem
Authors: Ng, KKH 
Lee, CKM
Issue Date: 2016
Source: 2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016, 2016, 7605020, p. 127-132
Abstract: Aircraft landing problem is a crucial operation in air traffic flow management. Appropriate and efficient landing sequencing, runway assignment and scheduled landing time are of great importance to maintain flight safety and minimize the overall tardiness of all flights. The heuristic approaches mainly focus on providing a fast and feasible solution in a reasonable amount of time. The proposed modified variable neighbor search heuristic shows its robustness in searching the optimal result. The computational study for analyzing the algorithm indicates the effectiveness in handling time sensitive aircraft landing model. The performance of the proposed algorithm is analyzed in comparison with the result from the literature and it is capable of accommodating the perturbation strengthen iteratively to escape from the local optimum trap and reduce the computational burden in branch-and-bound algorithm using CPLEX optimizer.
Keywords: Aircraft landing problem
Airside operation
Meta-heuristics
Variable neighborhood search
Publisher: Institute of Electrical and Electronics Engineers Inc.
ISBN: 9781509015009
DOI: 10.1109/ICMIT.2016.7605020
Description: 2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016, Thailand, 19-22 September 2016
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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