Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66246
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Ng, KKH | en_US |
dc.creator | Lee, CKM | en_US |
dc.date.accessioned | 2017-05-22T02:15:45Z | - |
dc.date.available | 2017-05-22T02:15:45Z | - |
dc.identifier.isbn | 9781509036653 | en_US |
dc.identifier.issn | 2157-3611 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/66246 | - |
dc.description | 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016, Indonesia, 4-7 December 2016 | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE Computer Society | 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.subject | Air traffic control | en_US |
dc.subject | Aircraft landing problem | en_US |
dc.subject | Artificial bee colony algorithm | en_US |
dc.subject | Meta-heuristics | en_US |
dc.title | Makespan minimization in aircraft landing problem under congested traffic situation using modified artificial bee colony algorithm | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 750 | en_US |
dc.identifier.epage | 754 | en_US |
dc.identifier.volume | 2016-December | en_US |
dc.identifier.doi | 10.1109/IEEM.2016.7797976 | en_US |
dcterms.abstract | Due to the increase in air transportation demand, runway capacity is reaching a bottleneck at the international airports, especially during peak hours. Managing on aircraft sequencing or sequencing problems in airport perspective have become a crucial operation nowadays in order to maintain safety landing and utilize the runway facility to handle the schedules for all incoming aircraft under congestion. The traditional approach allows aircraft to remain an economic speed during approaching to the airport. However, such approach may not be applicable in congested air traffic situation. Therefore, the makespan minimization is more practical for the rescheduling efforts afterwards. This article presents a modified artificial bee colony algorithm to obtain nearly optimal solution to support the air tower controller in order to obtain last-minute decisions of landing sequence. The modified artificial bee colony algorithm for aircraft landing problem provides a promising optimal search within 6.1 seconds to handle last-minute disruption. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE International Conference on Industrial Engineering and Engineering Management, 2016, v. 2016-December, 7797976, p. 750-754 | en_US |
dcterms.issued | 2016 | - |
dc.identifier.isi | WOS:000392208100153 | - |
dc.identifier.scopus | 2-s2.0-85009932100 | - |
dc.identifier.ros | 2016000354 | - |
dc.relation.ispartofbook | IEEE International Conference on Industrial Engineering and Engineering Management | en_US |
dc.relation.conference | IEEE International Conference on Industrial Engineering and Engineering Management [IEEM] | en_US |
dc.source.type | Proceedings Paper | - |
dc.identifier.artn | 7797976 | en_US |
dc.identifier.rosgroupid | 2016000353 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Refereed conference paper | en_US |
dc.description.validate | 201803_a bcwh | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0759-n04 | - |
dc.identifier.SubFormID | 1463 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | RU8H | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1463_Makespan Minimization in Aircraft Landing Problem under Congested Traffic Situation using Modified Artificial Bee Colony Algorithm.pdf | Pre-Published version | 354.51 kB | Adobe PDF | View/Open |
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