Please use this identifier to cite or link to this item:
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
Issue Date: 16-Mar-2007
Source: 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.
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
ISSN: 03772217
DOI: 10.1016/j.ejor.2005.12.014
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Mar 7, 2018


checked on Feb 5, 2018

Page view(s)

checked on Mar 11, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.