Hogeschool van Amsterdam

Centre of Applied Research Technology

SIM-OPT in the Loop: Algorithmic Framework for Solving Airport Capacity Problems

Paper

The following paper presents an innovative approach for dealing with complex capacity problems in aviation. We introduce a sliding window framework composed by an optimization method with a simulation component. By applying this framework in diverse problems that are dependent on time it is possible to find feasible and close-to-reality solutions in shorter time than the ones that could be achieved by evaluating the problem in the complete time-horizon. The framework can be applied to solve diverse problems in aviation or similar industries. We exemplify the approach with a model of Paris Charles de Gaulle Airport in France.

Reference Scala, P., Mujica , M., Wu, C-L., & Delahaye, D. (2018). SIM-OPT in the Loop: Algorithmic Framework for Solving Airport Capacity Problems. 2261-2272. Paper presented at Winter Simulation Conference 2018, Gothenburg, Sweden. https://dl.acm.org/doi/10.5555/3320516.3320787
Published by  Centre for Applied Research Technology 1 January 2018