Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2005.12.014
Title: A multi-objective genetic algorithm for robust flight scheduling using simulation
Authors: Lee, L.H. 
Lee, C.U. 
Tan, Y.P.
Keywords: Genetic algorithms
Scheduling
Simulation
Issue Date: 16-Mar-2007
Citation: Lee, 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
Abstract: Traditional 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.
Source Title: European Journal of Operational Research
URI: http://scholarbank.nus.edu.sg/handle/10635/54457
ISSN: 03772217
DOI: 10.1016/j.ejor.2005.12.014
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