Dagstuhl-Seminar 26041
Uncertainty Quantification in Multiobjective Optimization
( 18. Jan – 23. Jan, 2026 )
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Organisatoren
- Richard Allmendinger (University of Manchester, GB)
- Carlos M. Fonseca (University of Coimbra, PT)
- Susan R. Hunter (Purdue University, US)
- Serpil Sayin (Koc University - Istanbul, TR)
Kontakt
- Michael Gerke (für wissenschaftliche Fragen)
- Christina Schwarz (für administrative Fragen)
Verwandte Seminare
- Dagstuhl-Seminar 04461: Practical Approaches to Multi-Objective Optimization (2004-11-07 - 2004-11-12) (Details)
- Dagstuhl-Seminar 06501: Practical Approaches to Multi-Objective Optimization (2006-12-10 - 2006-12-15) (Details)
- Dagstuhl-Seminar 09041: Hybrid and Robust Approaches to Multiobjective Optimization (2009-01-18 - 2009-01-23) (Details)
- Dagstuhl-Seminar 12041: Learning in Multiobjective Optimization (2012-01-22 - 2012-01-27) (Details)
- Dagstuhl-Seminar 15031: Understanding Complexity in Multiobjective Optimization (2015-01-11 - 2015-01-16) (Details)
- Dagstuhl-Seminar 18031: Personalized Multiobjective Optimization: An Analytics Perspective (2018-01-14 - 2018-01-19) (Details)
- Dagstuhl-Seminar 20031: Scalability in Multiobjective Optimization (2020-01-12 - 2020-01-17) (Details)
- Dagstuhl-Seminar 23361: Multiobjective Optimization on a Budget (2023-09-03 - 2023-09-08) (Details)
Klassifikation
- Machine Learning
- Neural and Evolutionary Computing
- Systems and Control
Schlagworte
- optimization
- simulation optimization
- evolutionary algorithms
- uncertainty quantification and handling
- decision making
