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Algorithms and Software for Large-Scale Optimization

Project Details

Description

The project aims to extend a method for solving large-scale optimization problems based on, e.g., industrial processes or mathematical models in society. In the process, it aims to strengthen the research in optimization in Ostrobothnia.
StatusFinished
Effective start/end date01/09/23 → 30/06/26

Collaborative partners

  • Åbo Akademi University (lead)
  • The Royal Institute of Technology (KTH) (Project partner)
  • Novia University of Applied Sciences (Project partner)
  • Hamburg University of Applied Sciences (Project partner)
  • 4 Published conference proceeding

  • A Parallel Framework for Primal Heuristics in SHOT

    Olama, A. & Lundell, A., 2 Sept 2025, Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025. p. 137-140 4 p.

    Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

    File
    8 Downloads (Pure)

  • Improved Bounding Techniques for Nonconvex MINLP in SHOT

    Blomqvist, J. & Lundell, A., 2 Sept 2025, Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025. p. 133-136 4 p.

    Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

    File
    12 Downloads (Pure)

  • Separating Hyperplanes for Mixed-Integer Polynomial Optimization Problems

    Eggen, C., Kronqvist, J., Lundell, A. & Volkwein, S., 2 Sept 2025, Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025. p. 199-202 4 p.

    Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Professional

View all 4 research outputs