Business Information Systems & Operations Research

Daniel Schermer, M. Sc.

Daniel Schermer studied Business Management and Engineering in the field of Electrical Engineering at the University of Kaiserslautern. He received his Bachelor's and Master's deegrees in 2016 and 2018, respectively.

In addition to his positions as undergraduate and graduate assistant, he gained practical experiences as an intern at the Robert Bosch GmbH in Homburg (Germany) and the Middle East Internet Group in Dubai (United  Arab Emirates).

As of April, 2018 Daniel Schermer works as a research fellow at the chair of Business Information Systems & Operations Research.
His main research interests include: artificial intelligence, combinatorial optimization, and high performance computing.

Adresse

Gottlieb-Daimler-Straße
Gebäude 42 , Raum 416
67663 Kaiserslautern

Kontakt

Tel.: +49 631 205 2936
E-Mail: daniel.schermer@wiwi.uni-kl.de

Sprechstunde

08:00  - 17:00 Uhr  (von Montag bis Freitag)

nur nach Voranmeldung

Publications

  1. A hybrid VNS/Tabu search algorithm for solving the vehicle routing problem with drones and en route operations.
    Daniel Schermer, Mahdi Moeini und Oliver Wendt
    Computers & Operations Research, Vol. 109, (2019)
    https://linkinghub.elsevier.com/retrieve/pii/S0305054819301042
  2. A matheuristic for the vehicle routing problem with drones and its variants.
    Daniel Schermer, Mahdi Moeini und Oliver Wendt
    Transportation Research Part C: Emerging Technologies, Vol. 106, (2019)
    https://linkinghub.elsevier.com/retrieve/pii/S0968090X19301081

 

  1. The Traveling Salesman Drone Station Location Problem.
    Daniel Schermer, Mahdi Moeini und Oliver Wendt
    Optimization of Complex Systems: Theory, Models, Algorithms and Applications, Vol. 991, (2020)
    http://link.springer.com/10.1007/978-3-030-21803-4_111
  2. Integration of Drones in Last-Mile Delivery: The Vehicle Routing Problem with Drones.
    Daniel Schermer
    Operations Research Proceedings 2018, (2019)
    http://link.springer.com/10.1007/978-3-030-18500-8_3
  3. Algorithms for Solving the Vehicle Routing Problem with Drones.
    Daniel Schermer, Mahdi Moeini und Oliver Wendt
    Intelligent Information and Database Systems, Vol. 10751, (2018)
    http://link.springer.com/10.1007/978-3-319-75417-8_33
  4. A Hybrid Evolutionary Approach for Solving the Traveling Thief Problem.
    Mahdi Moeini, Daniel Schermer und Oliver Wendt
    Computational Science and Its Applications – ICCSA 2017, Vol. 10405, (2017)
    http://link.springer.com/10.1007/978-3-319-62395-5_45
  5. Swarm of agents for guarding an Art Gallery: A computational study.
    Mahdi Moeini, Daniel Schermer und Oliver Wendt
    2016 IEEE Symposium Series on Computational Intelligence (SSCI), (12/2016)
    http://ieeexplore.ieee.org/document/7850164/

 

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