1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2025★ 1 cited
Extending Parametric Model Embedding with Physical Information for Design-space Dimensionality Reduction in Shape Optimization
Andrea Serani, Giorgio Palma, Jeroen Wackers +3
Design-space dimensionality reduction is essential to mitigate the cost of high-fidelity simulation-based optimization, especially when dealing with high-dimensional geometric para…
math.OC2023
Accelerating Simulation-Driven Optimisation of Marine Propellers Using Shape-Supervised Dimension Reduction
Shahroz Khan, Stefano Gaggero, Panagiotis Kaklis +2
Simulation-driven shape optimisation (SDSO) of marine propellers is often obstructed by high-dimensional design spaces stemming from its complex geometry and baseline parameterisat…