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Gamifying the vehicle routing problem with stochastic requests

Do you remember your first video game console? We remember ours. Decades ago, they provided hours of entertainment. Now, we have repurposed them to solve dynamic and stochastic optimization problems. With deep reinforcement learning methods posting …

Solving the on-demand bus routing problem

This article investigates a static on-demand transportation problem in which users are picked up and dropped off at existing bus stops. Specifically, we assume that the selection of bus stops for each request, along with the bus routes, is determined …

Solving multi-echelon inventory problems with heuristic-guided deep reinforcement learning and centralized control

Multi-echelon inventory models aim to minimize the system-wide total cost in a multi-stage supply chain by applying a proper ordering policy to each of the stages. In a practical inventory system when backlog costs can be incurred in multiple stages, …