3 papers
cs.LG2025
Multi-Agent Reinforcement Learning for Intraday Operating Rooms Scheduling under Uncertainty
Kailiang Liu, Ying Chen, Ralf Borndörfer +1
Intraday surgical scheduling is a multi-objective decision problem under uncertainty-balancing elective throughput, urgent and emergency demand, delays, sequence-dependent setups,…
math.OC2024
Newton's Method for Global Free Flight Trajectory Optimization
Ralf Borndörfer, Fabian Danecker, Martin Weiser
Globally optimal free flight trajectory optimization can be achieved with a combination of discrete and continuous optimization. A key requirement is that Newton's method for conti…
math.OC2024
Price Optimal Routing in Public Transportation
Ricardo Euler, Niels Lindner, Ralf Borndörfer
We consider the price-optimal earliest arrival problem in public transit (POEAP) in which we aim to calculate the Pareto-set of journeys with respect to ticket price and arrival ti…