2 papers
cs.LG2026
Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models
Niki Triantafyllou, Andrea Bernardi, Maria M. Papathanasiou
Optimizing industrial process flowsheets is often computationally prohibitive due to the high cost of rigorous simulations and the curse of dimensionality inherent in complex desig…
math.OC2024
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality
Niki Triantafyllou, Maria M. Papathanasiou
This work introduces a framework to address the computational complexity inherent in Mixed-Integer Programming (MIP) models by harnessing the potential of deep learning. By employi…