24 citations · 44 across the 7 of their papers we have counts for
8 papers
Imitation Learning for Combinatorial Optimisation under Uncertainty
Prakash Gawas, Antoine Legrain, Louis-Martin Rousseau
Imitation learning (IL) provides a data-driven framework for approximating policies for large-scale combinatorial optimisation problems formulated as sequential decision problems (…
Notification Timing for On-Demand Personnel Scheduling
Prakash Gawas, Antoine Legrain, Louis-Martin Rousseau
Modern business models have enabled service systems to leverage a large pool of casual employees with flexible hours, paid based on piece rates, to fulfill on-demand work. These sy…
Column Generation for Real-Time Ride-Sharing Operations
Connor Riley, Antoine Legrain, Pascal Van Hentenryck
This paper considers real-time dispatching for large-scale ride-sharing services over a rolling horizon. It presents RTDARS which relies on a column-generation algorithm to minimiz…
A capacitated multi-vehicle covering tour problem on a road network and its application to waste collection
V. Fischer, M. Pacheco Paneque, A. Legrain +1
In most Swiss municipalities, a curbside system consisting of heavy trucks stopping at almost each household is used for non-recoverable waste collection. Due to the many stops of…
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment
Tu-San Pham, Antoine Legrain, Patrick De Causmaecker +1
Patient scheduling is a difficult task involving stochastic factors such as the unknown arrival times of patients. Similarly, the scheduling of radiotherapy for cancer treatments n…
The Commute Trip Sharing Problem
Mohd Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain
Parking pressure has been steadily increasing in cities as well as in university and corporate campuses. To relieve this pressure, this paper studies a car-pooling platform that wo…