A Genetic Algorithm for a Green Vehicle Routing Problem. - Paulo Roberto de Oliveira da Costa; Stefano Mauceri; Paula Carroll; Fabiano Pallonetto (Electron. Notes Discret. Math., 2018)

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. - Paulo Roberto de Oliveira da Costa; Jason Rhuggenaath; Yingqian Zhang 001; Alp Akcay; Wan-Jui Lee; Uzay Kaymak (ECML/PKDD (3), 2019)

A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand. - Jason Rhuggenaath; Paulo Roberto de Oliveira da Costa; Alp Akcay; Yingqian Zhang 001; Uzay Kaymak (SMC, 2019)

Machine Learning based Simulation Optimisation for Trailer Management. - Dylan Rijnen; Jason Rhuggenaath; Paulo Roberto de Oliveira da Costa; Yingqian Zhang 001 (SMC, 2019)

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. - Paulo R. de O. da Costa; Jason Rhuggenaath; Yingqian Zhang 001; Alp Akcay (ACML, 2020)

Dynamic Pricing Using Thompson Sampling with Fuzzy Events. - Jason Rhuggenaath; Paulo Roberto de Oliveira da Costa; Yingqian Zhang 001; Alp Akcay; Uzay Kaymak (IPMU (1), 2020)

Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions. - Jason Rhuggenaath; Paulo Roberto de Oliveira da Costa; Yingqian Zhang 001; Alp Akcay; Uzay Kaymak (ECML/PKDD (2), 2020)

Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model. - Jeroen Verheugd; Paulo Roberto de Oliveira da Costa; Reza Refaei Afshar; Yingqian Zhang 001; Sjoerd Boersma (SMC, 2020)

Remaining useful lifetime prediction via deep domain adaptation. - Paulo Roberto de Oliveira da Costa; Alp Akcay; Yingqian Zhang 001; Uzay Kaymak (Reliab. Eng. Syst. Saf., 2020)

Learning 2-opt Local Search from Heuristics as Expert Demonstrations. - Paulo da Costa 001; Yingqian Zhang 001; Alp Akcay; Uzay Kaymak (IJCNN, 2021)

Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning. - Paulo da Costa 001; Jason Rhuggenaath; Yingqian Zhang 001; Alp Akcay; Uzay Kaymak (SN Comput. Sci., 2021)

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. - Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Yingqian Zhang 001; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; Kevin Tierney; et al. (CoRR, 2022)

Policies for the dynamic traveling maintainer problem with alerts. - Paulo da Costa 001; Peter Verleijsdonk; Simon Voorberg; Alp Akcay; Stella Kapodistria; Willem van Jaarsveld; Yingqian Zhang 001 (Eur. J. Oper. Res., 2023)

The first AI4TSP competition: Learning to solve stochastic routing problems. - Yingqian Zhang 001; Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Robbert Reijnen; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; et al. (Artif. Intell., 2023)

Machine Learning for Data-Driven Last-Mile Delivery Optimization. - Sami Serkan Özarik; Paulo da Costa 001; Alexandre M. Florio (Transp. Sci., 2024)

Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration. - Willem van Jaarsveld; Alp Akçay; Laurens Bliek; Paulo da Costa 001; Mathijs de Weerdt; Rik Eshuis; Stella Kapodistria; Uzay Kaymak; Verus Pronk; Geert-Jan van Houtum; Peter Verleijsdonk; Sicco Verwer; et al. (Commit2Data, 2024)