A flow-based formulation for parallel machine scheduling using decision diagrams [read more]

Towards unifying neural combinatorial optimization through large language model [read more]

Balancing optimism and pessimism in offline-to-online learning [read more]

Deep Reinforcement Learning for Solving Combinatorial Optimization Problems [read more]

Chronic Care Management in Times of Capacity Shortages: An Integrated Patient Assignment and Treatment Scheduling Problem for Post-Disaster Hemodialysis Planning [read more]

Data-driven multi-location inventory placement in digital commerce (Yihua Wang) The Multi-Period Vehicle Routing Problem with Minimum Utilization Constraints (Nicolas Kuttruff) [read more]

Speeding up Policy Simulation in Supply Chain RL [read more]

Domain-Independent Dynamic Programming for Combinatorial Optimization [read more]

On Monday, November 25, 2024, Breno Serrano de Araujo successfully defended his Ph.D. thesis entitled "Contextual and Data-Driven Decision-Making — Recent Advancements for Supply Chain and Transport Optimization". Congratulations, Breno! [read more]

Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics [read more]