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cs.LG2025
Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
S. Josyula, Y. Noiman, E. J. Payton +1
Designing shape memory alloys (SMAs) that meet performance targets while remaining affordable and sustainable is a complex challenge. In this work, we focus on optimizing SMA compo…
cs.LG2023
The limitation of neural nets for approximation and optimization
Tommaso Giovannelli, Oumaima Sohab, Luis Nunes Vicente
We are interested in assessing the use of neural networks as surrogate models to approximate and minimize objective functions in optimization problems. While neural networks are wi…