High-performance optimization algorithms are essential in deep learning. However, understanding the behavior of optimization (i.e., learning process) remains challenging due to the instability and ...

Topology optimization is a critical tool for modern structural design, yet existing methods often prioritize single objectives (e.g., compliance minimization) and suffer from prohibitive computational ...