Bayesian Experimental Designs for Optimizing Truck-Drone Last-Mile Delivery Routes

This research paper proposes a Bayesian learning-based optimization framework, utilizing experimental designs and statistical models, to determine the most cost-effective routes for truck-drone last-mile delivery operations in the presence of uncertain travel times.