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Title: Multi-objective genetic algorithm for robust flight scheduling
Keywords: Genetic Algorithms, Multi-objective optimization, Airline operations, Flight scheduling, Simulation, Robust
Issue Date: 10-Apr-2004
Citation: 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.
Appears in Collections:Master's Theses (Open)

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