Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

We just submitted a new paper on using deep-neural networks as surrogate for optimization. The proposed algorithm uses a clever iterative approach, where the neural network gets updated several times as we converge to the optimal parameter.

A preprint of the paper is available here: ISMOpaper