Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13812
Title: Multi-objective genetic algorithm for robust flight scheduling
Authors: TAN YEN PING
Keywords: Genetic Algorithms, Multi-objective optimization, Airline operations, Flight scheduling, Simulation, Robust
Issue Date: 10-Apr-2004
Source: TAN YEN PING (2004-04-10). Multi-objective genetic algorithm for robust flight scheduling. 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 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.
URI: http://scholarbank.nus.edu.sg/handle/10635/13812
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
TanYP.pdf909.24 kBAdobe PDF

OPEN

NoneView/Download

Page view(s)

326
checked on Dec 11, 2017

Download(s)

472
checked on Dec 11, 2017

Google ScholarTM

Check


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