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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Multi-fidelity simulation optimisation for airline disruption management
AU - Rhodes-Leader, Luke
AU - Worthington, David John
AU - Nelson, Barry Lee
AU - Onggo, Bhakti Satyabuhdi Stephan
PY - 2019/2/4
Y1 - 2019/2/4
N2 - The airline industry faces many causes of disruption. To minimise financial and reputational impact, the airline must adapt its schedules. Due to the complexity of the environment, simulation is a natural modelling approach. However, the large solution space, time constraints and system constraints make the search for revised schedules difficult. This paper presents a method for the aircraft recovery problem that uses multi-fidelity modelling including a trust region simulation optimisation algorithm to mitigate the computational costs of using high-fidelity simulations with its benefits for providing good estimates of the true performance.
AB - The airline industry faces many causes of disruption. To minimise financial and reputational impact, the airline must adapt its schedules. Due to the complexity of the environment, simulation is a natural modelling approach. However, the large solution space, time constraints and system constraints make the search for revised schedules difficult. This paper presents a method for the aircraft recovery problem that uses multi-fidelity modelling including a trust region simulation optimisation algorithm to mitigate the computational costs of using high-fidelity simulations with its benefits for providing good estimates of the true performance.
U2 - 10.1109/WSC.2018.8632329
DO - 10.1109/WSC.2018.8632329
M3 - Conference contribution/Paper
SP - 2179
EP - 2190
BT - 2018 Winter Simulation Conference (WSC)
PB - IEEE
ER -