Jens Weise

M.Sc. Jens Weise

Faculty of Computer Science
Chair of Computational Intelligence
Universitätsplatz 2, 39106, Magdeburg , G29-019
Vita

About

I studied Computer Systems in Engineering in my Bachelor's course and Medical Systems Engineering in my Master's course.

 

Otto von Guericke University Magdeburg

Master of Science (M.Sc.), Medical Systems Engineering · (2014 - 2016)

 

Queensland University of Technology

Semester Abroad, Business and Engineering · (2015 - 2015)

 

Otto von Guericke University Magdeburg

Bachelor of Science (B.Sc.), Computer Systems in Engineering · (2009 - 2013)

 

 

Research

My research and PhD-topic is about many-objective pathfinding and route planning. I research, evaluate and utilise methods of evolutionary algorithms to find and optimise paths with respect to several objectives.

 

Project Work

In my position as a research associate I'm working on the government founded (BMBF) project MOSAIK in which I research methods of self-organisation for factories, i.e. how can they adapt themselves in terms of layouting and assembly line sequence with respect to given product parameters.

Research
  • Jens Weise and Sanaz Mostaghim

 

  • Thomas Seidelmann, Jens Weise and Sanaz Mostaghim
  • Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach
  • In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Orlando, Florida, USA: IEEE. https://doi.org/10.1109/SSCI50451.2021.9659946 

 

  • Jens Weise, Heiner Zille and Sanaz Mostaghim
  • A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem
  • In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Orlando, Florida, USA: IEEE. https://doi.org/10.1109/SSCI50451.2021.9660055 

 

  • Jens Weise and Sanaz Mostaghim
  • A Customized Niching Methodology for the Many-Objective Pathfinding Problem
  • In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Orlando, Florida, USA: IEEE. https://doi.org/10.1109/SSCI50451.2021.9659956 

 

  • Jens Weise and Sanaz Mostaghim
  • Many-Objective Pathfinding based on Fréchet Similarity Metric
  • In: Ishibuchi H. et al. (eds) Evolutionary Multi-Criterion Optimization. EMO 2021. Pages 375-386. Lecture Notes in Computer Science, vol 12654. Springer, Cham. https://doi.org/10.1007/978-3-030-72062-9_30

 

  • Victor Charpenay, Daniel Schraudner, Thomas Seidelmann, Torsten Spieldenner, Jens Weise, Rene Schubotz,Sanaz Mostaghim, Andreas Harth
  • MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems
  • In IEEE Pervasive Computing, vol. 20, no. 1, pp. 9-18, 1 Jan.-March 2021, doi: 10.1109/MPRV.2020.3035837. --> Link

 

  • Jens Weise, Sebastian Mai, Heiner Zille and Sanaz Mostaghim
  • On the Scalable Multi-Objective Multi-Agent Pathfinding Problem
  • In the Proceedings of IEEE Congress on Evolutionary Computation (CEC), World Congress on Computational Intelligence, Glasgow, UK, 2020 doi: 10.1109/CEC48606.2020.9185585  --> Link to video presentation , Link to IEEE Xplore

 

  • Jens Weise and Sanaz Mostaghim
  • A Many-Objective Route Planning Benchmark Problem for Navigation
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, Mexico, 2020. --> Link to video presentation, Link to ACM

 

  • Jens Weise and Sanaz Mostaghim
  • A Scalable Many-Objective Pathfinding Benchmark Suite
  • IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2021.3089050, 2021  --> Link (Early Access) --> Supplementary Material

 

  • Jens Weise, Steven Benkhardt and Sanaz Mostaghim
  • Graph-based Multi-Objective Generation of Customised Wiring Harnesses
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 407-408, 2019 --> Link

 

  • Jens Weise, Steven Benkhardt and Sanaz Mostaghim
  • A Survey on Graph-based Systems in Manufacturing Processes
  • In the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, Pages 112-119, India, November 2018 --> Link

 

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