Girardin, SimonBaumann, FabianDornberger, RolfHanne, Thomas2025-02-132021978-1-4503-8967-9https://doi.org/10.1145/3461598.3461604https://irf.fhnw.ch/handle/11654/48196The optimization problem of assigning train staff to scheduled train services is called the train staff planning problem. A part of this is the rostering with the aim to create a duty timetable under the consideration of different constraints, preferences etc. The problem is formulated as a biobjective problem considering costs and penalties for violating constraints. In this paper, we analyze the application of the nondominated sorting genetic algorithm II (NSGA-II) for multiobjective optimization in order to propose a solution to the considered train staff planning problem. Numerical experiments are conducted using several example problems. These experiments provide suitable parameters for using NSGA-II and further insights into the adaptation of this algorithm to the problem under consideration.en330 - Wirtschaft04B - Beitrag Konferenzschrift37-43