We study the regulatory policy of a monopoly facing stochastic demand for the service it provides after performing an irreversible investment in infrastructure. We find that under uncertainty, bundling the decisions about investment timing and scale of operation is beneficial. When...

The vehicle routing problem with time windows (VRPTW) has been the subject of intensive study because of its importance in real applications. In this paper, we propose a cross entropy multiagent learning algorithm, which considers an optimum solution as a rare event to be learned. The routing...