Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2005.12.014
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dc.titleA multi-objective genetic algorithm for robust flight scheduling using simulation
dc.contributor.authorLee, L.H.
dc.contributor.authorLee, C.U.
dc.contributor.authorTan, Y.P.
dc.date.accessioned2014-06-16T09:31:21Z
dc.date.available2014-06-16T09:31:21Z
dc.date.issued2007-03-16
dc.identifier.citationLee, L.H., Lee, C.U., Tan, Y.P. (2007-03-16). A multi-objective genetic algorithm for robust flight scheduling using simulation. European Journal of Operational Research 177 (3) : 1948-1968. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2005.12.014
dc.identifier.issn03772217
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54457
dc.description.abstractTraditional methods of developing flight schedules generally do not take into consideration disruptions that may arise during actual operations. Potential irregularities in airline operations such as equipment failure are not adequately considered during the planning stage of a flight schedule. As such, flight schedules cannot be met as planned and their performance is compromised, which may eventually lead to huge losses in revenue for airlines. In this paper, we seek to improve the robustness of a flight schedule by re-timing its departure times. The problem is modeled as a multi-objective optimization problem, and a multi-objective genetic algorithm (MOGA) is developed to solve the problem. To evaluate flight schedules, SIMAIR 2.0, a simulation model which simulates airline operations under operational irregularities, has been employed. The simulation results indicate that we are able to develop schedules with better operation costs and on-time performance through the application of MOGA. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ejor.2005.12.014
dc.sourceScopus
dc.subjectGenetic algorithms
dc.subjectScheduling
dc.subjectSimulation
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1016/j.ejor.2005.12.014
dc.description.sourcetitleEuropean Journal of Operational Research
dc.description.volume177
dc.description.issue3
dc.description.page1948-1968
dc.description.codenEJORD
dc.identifier.isiut000242631600045
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