Główne pojęcia
Pre-trained neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.
Statystyki
Gradient-free optimizers require several orders of magnitude more objective evaluations than gradient-based optimizers.
Cytaty
"Gradient-free optimizers update the solution by sampling and comparing the performance of trial solutions."
"Latent optimization with LBAE leads to dramatic gains in performance compared to conventional black-box optimization."