Using a genetic algorithm for robust optimization of flight lists during ATFM regulations

Research areaOptimization, Air Traffic Management, Genetic Algorithmus
DescriptionThe HARMONIC research project investigates, among other things, the optimization of the assignment of flights to arrival times at an airport in case of ATFM regulations (e.g. due to bad weather conditions). Normally, flights are assigned to arrival times on a 'first-planned, first-served' basis, which is not efficient as some flights are more important than others. A genetic algorithm can be used to approximate an optimal solution based on the preferences of the airlines and the airport. However, if the situation is dynamic and the optimization is performed iteratively (e.g. every 10 minutes), part of the assignment can be optimized again. The aim of the bachelor thesis is to investigate the robust optimization of the assignment using a genetic algorithm to ensure that the changes are reduced to a configurable level.
Literature
  • HARMONIsed network through smart technology and Collaboration (HARMONIC): https://doi.org/10.3030/101114675
  • https://ieeexplore.ieee.org/abstract/document/9594401
  • https://link.springer.com/chapter/10.1007/978-3-031-17834-4_10
Contact personSebastian Gruber