Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/13812
DC Field | Value | |
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dc.title | Multi-objective genetic algorithm for robust flight scheduling | |
dc.contributor.author | TAN YEN PING | |
dc.date.accessioned | 2010-04-08T10:36:40Z | |
dc.date.available | 2010-04-08T10:36:40Z | |
dc.date.issued | 2004-04-10 | |
dc.identifier.citation | TAN YEN PING (2004-04-10). Multi-objective genetic algorithm for robust flight scheduling. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/13812 | |
dc.description.abstract | Traditional methods of developing flight schedules generally do not take into consideration disruptions that may arise during actual operations. Potential irregularities are not adequately considered during the planning stage of a flight schedule. As such, flight schedules cannot be fulfilled as planned and their performance is compromised, which may lead to huge losses in revenue. In this thesis, a procedure to improve the robustness of an existing flight schedule was developed. The problem is modelled as a multi-objective optimization problem, optimizing the departure times of flights. A simulation model, SimAir, that models the operational irregularities has been employed to evaluate the performance of the flight schedule. | |
dc.language.iso | en | |
dc.subject | Genetic Algorithms, Multi-objective optimization, Airline operations, Flight scheduling, Simulation, Robust | |
dc.type | Thesis | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.contributor.supervisor | LEE CHUL-UNG | |
dc.contributor.supervisor | LEE LOO HAY | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF ENGINEERING | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Master's Theses (Open) |
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