Profil Dr. Pascal Halffmann

Schwerpunkte/Kompetenzen

• Quantencomputing
  
• Optimierung und Operations Research
• Multikriterielle Optimierung
  

Publikationen

Highlightpublikationen

• Halffmann, P.; Turkalj, I.; Assadsolimani, M.; Braun, M.; Hegemann, N.; Kerstan, S.; Maciejewski, J.; Sharma, S.; Zhou, Y.:
  Quadratic Unconstrained Binary Optimization Approach for Incorporating Solvency Capital into Portfolio Optimization.
  Risks, Volume 12, Issue 2, Page 23, (2024).
• Halffmann, P.; Trebing, M.; Lenk, S.:
  Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algortihms.
  Proceedings of the Genetic and Evolutionary Computation Conference Companion, Pages 1950-1953, (2024).
• Halffmann, P.; Becker, Y.; Schöbel, A.:
  Risk management in multi-objective portfolio optimization under uncertainty.
  arXiv preprint arXiv:2407.19936, (2024).
  
• Halffmann, P.; Au-Yeung, R.; Chancellor, N.:
  NP-hard but no longer hard to solve? Using quantum computing to tackle optimization problems.
  Frontiers in Quantum Science and Technology, Volume 2, (2023).
• Halffmann, P.; Schäfer, Luca E.; Dächert, K.; Klamroth, K.; Ruzika, S.:
  Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey.
  Journal of Multi‐Criteria Decision Analysis, Volume 29, Pages 341-363, (2022).