Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs
The primary goal of this work is to provide easy-to-use and cutting-edge optimization software designed to handle uncertainties, intended for use in research and education. Robustimizer offers efficient uncertainty quantification through exact analytic formulas using specific surrogate models, such...
Saved in:
| Main Author: | Omid Nejadseyfi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000445 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties
by: Éva Kenyeres, et al.
Published: (2025-01-01) -
Robust Combinatorial Optimization with Locally Budgeted Uncertainty
by: Goerigk, Marc, et al.
Published: (2021-05-01) -
Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling
by: Arne De Temmerman, et al.
Published: (2025-04-01) -
Short Paper - A Note on Robust Combinatorial Optimization with Generalized Interval Uncertainty
by: Yaman, Hande
Published: (2023-06-01) -
Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty
by: Xiaohui Zhang, et al.
Published: (2024-12-01)