AI RESEARCH
Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
arXiv CS.LG
•
ArXi:2604.08569v1 Announce Type: new Traffic simulation and digital-twin calibration is a challenging optimization problem with a limited simulation budget. Each trial requires an expensive simulation run, and the relationship between calibration inputs and model error is often nonconvex, and noisy. The problem becomes difficult as the number of calibration parameters increases.