NSGA-II

A pretrained teacher-guided low-fidelity framework, TGL-NSGA-II, achieved measured Kendall-τ values of 0.74 on keyword spotting and 0.62 on bird-call classification, exceeding predicted lower bounds o…

Researchers propose a reinforcement learning-guided NSGA-II enhanced with gray relational coefficients (RL-NSGA-II-GRC) for multi-objective optimization, achieving convergence improvements of about 5.…

Researchers introduced the first foundation model-orchestrated workflow for crash safety design, enabling surrogate-assisted pedestrian protection exploration that reduces evaluation time from hours t…