Search Results for author:
Found 1 papers, 0 papers with code
Decision Automation for Electric Power Network Recovery
We propose a novel decision technique that addresses the massive number of decision choices for large-scale real-world problems; in addition, our method also features an experiential learning component that adaptively determines the utilization of the computational resources based on the performance of a small number of choices.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
