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Research profile

My PhD project focuses on developing new methods for dynamic and stochastic vehicle routing problems, having the application of multi-vehicle on-demand last-mile delivery for retail in mind. We want to develop novel routing methods such that the desired trade-off between the fleet composition, operation cost, and system performance is achieved.
This type of problems result in a complex optimization task, including stochastic and incomplete information plus needing to chose which type of vehicle should be used for each request.

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Research Output

  • 1 Conference contribution

Application of Deep Neural Networks to Event Type Classification in IceCube

Kronmüller, M. & Glauch, T., 24 Jul 2019, Proceedings of Science.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

Open Access