Publications by authors named "Yuanbo Ge"
Article Synopsis
- The traditional method for linked simulation-optimization in groundwater modeling is computationally intensive because it requires frequent calls to complex simulation models.
- A new surrogate model using a bidirectional long and short-term memory neural network (BiLSTM) has been developed, achieving higher accuracy and reduced computational load compared to earlier models.
- The sparrow search algorithm based on Sobol sequences (SSAS) enhances the optimization process by improving population diversity and search efficiency, resulting in more accurate identification of contamination source locations and intensities.