1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.OC2023
Leveraging Contextual Information for Robustness in Vehicle Routing Problems
Ali İrfan Mahmutoğulları, Tias Guns
We investigate the benefit of using contextual information in data-driven demand predictions to solve the robust capacitated vehicle routing problem with time windows. Instead of e…
cs.LG2023
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
Mattia Silvestri, Senne Berden, Jayanta Mandi +4
Many real-world optimization problems contain parameters that are unknown before deployment time, either due to stochasticity or to lack of information (e.g., demand or travel time…
math.OC2017★ 1 cited
Multi-objective risk-averse two-stage stochastic programming problems
Çağın Ararat, Özlem Çavuş, Ali İrfan Mahmutoğulları
We consider a multi-objective risk-averse two-stage stochastic programming problem with a multivariate convex risk measure. We suggest a convex vector optimization formulation with…