CMA-ES, invented by Nikolaus Hansen and Andreas Ostermeier and refined over three decades, is a standard black-box optimizer for problems where gradients do not exist, suffer from severe noise, or cos…
Researchers introduced NOTES, a framework combining neural operators with evolutionary strategy, achieving over 95% efficiency in nanophotonic beam-deflector design by reducing dimensionality from 256…
Researchers introduced Chisao, a GPU-native parallel optimizer for multimodal black-box functions that uses a convergence-anticonvergence oscillation cycle to escape local traps while freezing confirm…
Researchers trained a neural surrogate on 2,000 simulations and used a goal-conditioned PPO policy in a normalizing-flow latent space to estimate material parameters for food fracture, achieving 0.642…