3 papers
physics.flu-dyn2026
Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
Isaac Robledo, Alberto Vilariño, Arnau Miró +3
Active multi-fidelity surrogate modeling is developed for multi-condition airfoil shape optimization to reduce high-fidelity CFD cost while retaining RANS-consistent aerodynamic me…
physics.flu-dyn2026
Reducing base drag on road vehicles using pulsed jets optimized by hybrid genetic algorithms
Isaac Robledo, Juan Alfaro, VÃctor Duro +3
Aerodynamic drag on flat-backed vehicles like vans and trucks is dominated by a low-pressure wake, whose control is critical for reducing fuel consumption. This paper presents an e…
cs.NE2026
Fast and robust parametric and functional learning with Hybrid Genetic Optimisation (HyGO)
Isaac Robledo, Yiqing Li, Guy Y. Cornejo Maceda +1
The Hybrid Genetic Optimisation framework (HYGO) is introduced to meet the pressing need for efficient and unified optimisation frameworks that support both parametric and function…