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cs.NE2026
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…
cs.NE2026
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…
cs.NE2024
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation
Qingquan Zhang, Yuchen Li, Yuhang Lin +2
This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in proce…