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              • Theses Supervision | Dr. Jakob Bossek
 
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Dr. Jakob Bossek
Former Research Assistant

Data Science: Statistics and Optimization

Leonardo Campus 3
48149 Münster


www.jakobbossek.de/

External profiles:
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ShortURL: ERC.IS ShortURL erc.is/p/bossek

  • About
  • Publications
  • Projects
  • Awards
  • Courses
  • Theses Supervision
  • Software
  • Supervised Theses

    • Björn Heiner Breilmann: The Potential of Monitoring Features for Automatic Algorithm Selection Applied to the Traveling Salesperson Problem (Master's thesis IS, 2021)
    • A Comparison of Evolutionary Algorithms for the Multi-Criteria Minimum Spanning Tree Problem with more than two Criteria (Bachelor's thesis IS, 2019)
    • Janina Susanne Pohl: Dynamic Distances in Multiobjective Vehicle Routing - Applications to Christmas Markets (Bachelor's thesis IS, 2019)
    • Oliver Hampel: Optimizing Algorithm Configuration by Improved Initial Heterogeneous Parameter Sampling (Master's thesis IS, 2019)
    • Moritz Witte: A Time Series Taxonomy to Identify the Best Suitable Forecasting Method (Master's thesis IS, 2019)
    • Thorben Ole Hellweg: Analysis and Performance Comparison of DSDV and Eff-DSDV Routing Protocols for Mobile Ad-Hoc Networks in ns-3 (Bachelor's thesis IS, 2018)
    • Matthias Wettingfeld: Empirical Comparison of Heuristic Algorithms for the Graph Colouring Problem (Bachelor's thesis IS, 2018)
    • Vanessa Twickler: The Steiner-Tree-Problem in Graphs: Experimental Comparison of Heuristic Algorithms (Bachelor's thesis IS, 2018)
    • Dennis Meis: Similarity Analysis of Pareto-optimal Solutions for the Multi-Objective Shortest Path Problem (Bachelor's thesis IS, 2017)
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Contact

Data Science: Statistics and Optimization
Prof. Dr. Heike Trautmann

Leonardo-Campus 3
48149 Münster
Germany

Tel.: +49 251 83-38200
Fax: +49 251 83-38209
qm@wi.uni-muenster.de

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