A Deep Learning-based Multiobjective Optimization of the In-Situ Uranium Leaching Design Under Uncertainty

This data includes the datasets and codes for noisy multiobjective optimization of  in-situ leaching of uranium under mineralgical heterogeneity. The implementation of the noisy multiobjective optimization code is available in the repository at https://github.com/ERATOMMSD/kNNAvg-benchmarking.