Jens Weise

Dr.-Ing. Jens Weise

Faculty of Computer Science
Chair of Computational Intelligence
Universitätsplatz 2, 39106 Magdeburg, G29-016
Vita

About

I studied Computer Systems in Engineering in my Bachelor's course and Medical Systems Engineering in my Master's course. In 2023, I received my PhD with the dissertation "Evolutionary Many-Objective Optimisation for Pathfinding Problems".

 

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 was working on the government founded (BMBF) project MOSAIK in which I researched methods of self-organisation for factories, i.e. how can they adapt themselves in terms of layouting and assembly line sequence regarding given product parameters. Currently, my research is about the future 6G network standard, where I develop and evaluate new approaches for multi-objective resource optimisation and decision-making.

Research
  • Julia Heise, Jens Weise and Sanaz Mostaghim 
  • Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments
  • In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA,  July 2023, pp 69–70https://doi.org/10.1145/3583133.3596434

 

  • Markus Rothkötter, Jens Weise and Sanaz Mostaghim 
  • Towards a new Model for a 6G Network-of-Networks 
  • In 2023 IEEE Conference on Artificial Intelligence, Santa Clara, CA, USA, 2023. doi: 10.1109/CAI54212.2023.00114.

 

  • Jens Weise

 

  • 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

 

Last Modification: 02.11.2023 - Contact Person: Webmaster