Multiobjective optimization of the train staff planning problem using NSGA-II
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Publication date
2021
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04B - Conference paper
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Proceedings of 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2021)
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37-43
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ACM
Place of publication / Event location
Victoria, Seychelles
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Abstract
The 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.
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2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2021)
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978-1-4503-8967-9
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English
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Yes
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Published
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Peer review of the complete publication
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Closed
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Citation
Girardin, S., Baumann, F., Dornberger, R., & Hanne, T. (2021). Multiobjective optimization of the train staff planning problem using NSGA-II. Proceedings of 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2021), 37–43. https://doi.org/10.1145/3461598.3461604