Researchers Develop Maximum Entropy Method for Synthetic Population Generation

A new approach using statistical physics techniques addresses the computational challenge of generating synthetic populations that match multiple overlapping constraints simultaneously. The maximum entropy relaxation method outperforms traditional raking approaches, particularly as the number of attributes and constraint interactions increase.