Engineering researchers at North Carolina State University have developed a mathematical framework that can be used to help hunger-relief organizations get food to households that need it more efficiently than conventional methods. The advance, which has already been incorporated into an app, could also lead to improved efficiency for other businesses that face logistical challenges associated with deliveries and volunteer assignments. The paper, “Anticipatory Monte Carlo Tree Search–Based Optimization for Stochastic Dynamic Routing with Time Windows,” is published in the journal Computer-Aided Civil and Infrastructure Engineering.
Tool can help hunger-relief groups deliver food more efficiently
