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Research project

Algorithms for solving two-staged chance-constrained optimization models

Project overview

University of Bayreuth 2023
Centre of International Excellence “Alexander von Humboldt”
Short Term Grant

In this project, we develop algorithms for solving certain classes of stochastic optimization models that are currently intractable to solve naively. For further information, please see: https://www.humboldt-centre.uni-bayreuth.de/en/fellows-and-grantees/recently-selected-short-term-grantees/index.html.
b.1 January 2024 – 30th September, 2024

Staff

Lead researcher

Dr Bismark Singh PhD, SMIEEE, AFORS, FIMA

Lecturer B

Research interests

  • Stochastic optimization, particularly chance constraints.
  • Applications to public health, renewable energy, and sustainability.
Connect with Bismark

Email: B.Singh@southampton.ac.uk

Research outputs