21 citations · 31 across the 7 of their papers we have counts for
9 papers
Reward-Weighted Preference Optimization for Selective Combinatorial Optimization Problems
Haohui Zhang, Xinyu Hu, Wouter van Heeswijk +2
Reinforcement learning has emerged as an effective approach for combinatorial optimization, but most existing methods focus on problems such as the Travelling Salesperson Problem (…
Causal Analysis for Time Series Foundation Models
Mathis Jander, Wouter van Heeswijk, Martijn Mes
Transitioning from bespoke time series models towards time series foundation models changes the relationship of model and application from one-to-one to one-to-many. This shift int…
Progressive Lower Bound Evaluation for Urban Road Renovation Scheduling
Robbert Bosch, Patricia Rogetzer, Wouter van Heeswijk +1
Urban infrastructure degrades over time, necessitating periodic renovation to maintain functionality and safety. When renovation is delayed beyond the infrastructure's remaining li…
Deep Learning--Accelerated Multi-Start Large Neighborhood Search for Real-time Freight Bundling
Haohui Zhang, Wouter van Heeswijk, Xinyu Hu +2
Online Freight Exchange Systems (OFEX) play a crucial role in modern freight logistics by facilitating real-time matching between shippers and carrier. However, efficient combinato…
Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling
Robbert Bosch, Wouter van Heeswijk, Patricia Rogetzer +1
Accurately estimating the impact of road maintenance schedules on traffic conditions is important because maintenance operations can substantially worsen congestion if not carefull…
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
Fabian Akkerman, Nils Knofius, Matthieu van der Heijden +1
This paper investigates dual sourcing problems with supply mode dependent failure rates, particularly relevant in managing spare parts for downtime-critical assets. To enhance resi…
The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs
Robert van Steenbergen, Wouter van Heeswijk, Martijn Mes
Humanitarian logistics operations face increasing difficulties due to rising demands for aid in disaster areas. This paper investigates the dynamic allocation of scarce relief supp…
Learning Dynamic Selection and Pricing of Out-of-Home Deliveries
Fabian Akkerman, Peter Dieter, Martijn Mes
Home delivery failures, traffic congestion, and relatively large handling times have a negative impact on the profitability of last-mile logistics. A potential solution is the deli…
A Markov Decision Process Approach for Managing Medical Drone Deliveries
Amin Asadi, Sarah Nurre Pinkley, Martijn Mes
We consider the problem of optimizing the distribution operations at a drone hub that dispatches drones to different geographic locations generating stochastic demands for medical…