Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66180
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorNg, KKHen_US
dc.creatorLee, CKMen_US
dc.date.accessioned2017-05-22T02:15:39Z-
dc.date.available2017-05-22T02:15:39Z-
dc.identifier.isbn9781509015009en_US
dc.identifier.urihttp://hdl.handle.net/10397/66180-
dc.description2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016, Thailand, 19-22 September 2016en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.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.en_US
dc.subjectAircraft landing problemen_US
dc.subjectAirside operationen_US
dc.subjectMeta-heuristicsen_US
dc.subjectVariable neighborhood searchen_US
dc.titleA modified variable neighborhood search for aircraft landing problemen_US
dc.typeConference Paperen_US
dc.identifier.spage127en_US
dc.identifier.epage132en_US
dc.identifier.doi10.1109/ICMIT.2016.7605020en_US
dcterms.abstractAircraft 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016, 2016, 7605020, p. 127-132en_US
dcterms.issued2016-
dc.identifier.scopus2-s2.0-84997525085-
dc.relation.ispartofbook2016 IEEE International Conference on Management of Innovation and Technology, ICMIT 2016en_US
dc.relation.conferenceIEEE International Conference on Management of Innovation and Technology [ICMIT]en_US
dc.identifier.artn7605020en_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0759-n03-
dc.identifier.SubFormID1462-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRU8Hen_US
dc.description.pubStatusPublisheden_US
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