Abstract
To enhance runway resilience, runway operations should remain robust to mitigate the effects of delay propagation. The main objective of this research was to identify an optimal schedule by evaluating the robustness of feasible solutions under its respective worst-case scenario. A novel artificial bee colony algorithm was developed and verified by experimental results. The proposed efficient artificial bee colony algorithm can obtain close-to-optimal results with less computational effort in regard to a one-hour flight traffic planning horizon.
Original language | English |
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Pages (from-to) | 115-136 |
Number of pages | 22 |
Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 106 |
DOIs | |
Publication status | Published - 1 Oct 2017 |
Keywords
- Artificial bee colony algorithm
- Min-max regret approach
- Mixed-mode parallel runways
- Robust scheduling
- Swarm intelligence
ASJC Scopus subject areas
- Business and International Management
- Civil and Structural Engineering
- Transportation