- An Open-Source Python Package for Vehicle Routing Problems with Intermediate Stops. INFORMS Journal on Computing, 2024 mehr…
- Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows. Transportation Science, 2024 mehr…
- Iterative Local Search for the Location of Static and Dynamic EV Charging Infrastructure. (Vortrag / OR Conference 2023, Hamburg, Germany) 2023 mehr…
- Machine Learning-Based Combinatorial Optimization to Solve the Dynamic Vehicle Routing Problem with Time Windows. (Vortrag / TSL Conference 2023, Chicago, Illinois, USA) 2023 mehr…
- Combinatorial Optimization Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows. 2023, mehr…
- Electric Vehicle Charge Scheduling with Flexible Service Operations. Transportation Science, 2023 mehr…
- Branch-and-Price for the Electric Vehicle Charge Scheduling Problem with Flexible Service Operations. (Vortrag / TRISTAN XI Conference, Mauritius) 2022 mehr…
- Optimal Picking Policies in e-Commerce Warehouses. Management Science 68 (10), 2022, 7065--7791 mehr…
- Electric Vehicle Charge Scheduling with Flexible Service Operations. Electrical Engineering and Systems Science, 2022 mehr…
- A Branch-and-Price Algorithm for the Electric Freight Vehicle Scheduling Problem. (Vortrag / 31st European Conference on Operational Research 2021, Athens, Greece) 2021 mehr…
- Charge Scheduling and its Influence on Routing Decisions for Fleets of Electric Vehicles with Time-of-Use Pricing, Station Capacity and Battery Degradation. (Vortrag / International Annual Conference of the German OR Society 2021, Virtual) 2021 mehr…
- Integrated Planning for Electric Commercial Vehicle Fleets: A Case Study for Retail Mid-Haul Logistics Networks. European Journal of Operational Research 291 (3), 2021, 944-960 mehr…
- Integrated Routing and Charge Scheduling of Electric Commercial Vehicles. (Vortrag / International Annual Conference of the German OR Society 2019, Dresden, Germany) 2019 mehr…
Patrick Klein
Former PhD Student
Short Biography
Patrick Klein is a Ph.D. student at the Professorship of Business Analytics & Intelligent Systems. He studied computer science in Aachen (B.Sc.) and is currently enrolled in a consecutive master program at TUM. His research is centered on the analysis and optimization of sustainable concepts for future urban mobility systems, such as autonomous mobility on demand and intermodal transportation. For this purpose, he designs and implements metaheuristics, exact algorithms, and derives mathematical models for vehicle routing and scheduling problems. He is currently working at Ocado Technology.
In his free time, Patrick enjoys rowing, swimming, and cooking. He has a keen interest in all things related to computer science, the physical sciences, and nutrition.
Research Interests
- Intermodal and Omni-channel Transportation
- Electric Vehicle Routing and Scheduling