4 papers · 1 filter
Constraint-Bound Agnostic Bayesian Optimization: One Model for All Thresholds
Jin Wang, Xi Lin, Handing Wang
Expensive constrained optimization problems in real-world industry design often involve constraint thresholds that are difficult to determine in advance. Engineers may need to adju…
Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design
Yuchen Li, Handing Wang, Bing Xue +1
Expensive simulation-driven design is widely used in engineering to identify requirement-satisfying designs with as few high-fidelity simulations as possible. Most existing efforts…
BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design
Chuyang Xiang, Yichen Wei, Jiale Ma +2
Large Language Model-based Hyper Heuristic (LHH) has recently emerged as an efficient way for automatic heuristic design. However, most existing LHHs just perform well in optimizin…
STRONG-VLA: Decoupled Robustness Learning for Vision-Language-Action Models under Multimodal Perturbations
Yuhan Xie, Yuping Yan, Yunqi Zhao +2
Despite their strong performance in embodied tasks, recent Vision-Language-Action (VLA) models remain highly fragile under multimodal perturbations, where visual corruption and lin…