Artificial Neural Networks as Surrogate Models in Black Box Optimization
ScientificML
This paper investigates using artificial neural networks as surrogate models for black-box optimization, enabling efficient optimization when analytical function descriptions are unavailable by obtaining objective values through numerical simulation.
See LICENSE file Black-Box OptimizationSurrogate ModelNeural Network