A biased random-key genetic algorithm for the container pre-marshalling problem. - André Hottung; Kevin Tierney (Comput. Oper. Res., 2016)

Context- and Data-driven Satisfaction Analysis of User Interface Adaptations Based on Instant User Feedback. - Enes Yigitbas; André Hottung; Sebastian Mansfield Rojas; Anthony Anjorin; Stefan Sauer 001; Gregor Engels (Proc. ACM Hum. Comput. Interact., 2019)

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. - André Hottung; Kevin Tierney (ECAI, 2020)

Deep learning assisted heuristic tree search for the container pre-marshalling problem. - André Hottung; Shunji Tanaka; Kevin Tierney (Comput. Oper. Res., 2020)

Learning a Latent Search Space for Routing Problems using Variational Autoencoders. - André Hottung; Bhanu Bhandari; Kevin Tierney (ICLR, 2021)

Efficient Active Search for Combinatorial Optimization Problems. - André Hottung; Yeong-Dae Kwon; Kevin Tierney (ICLR, 2022)

Learning to Solve a Stochastic Orienteering Problem with Time Windows. - Fynn Schmitt-Ulms; André Hottung; Meinolf Sellmann; Kevin Tierney (LION, 2022)

Simulation-guided Beam Search for Neural Combinatorial Optimization. - Jinho Choo; Yeong-Dae Kwon; Jihoon Kim; Jeongwoo Jae; André Hottung; Kevin Tierney; Youngjune Gwon (NeurIPS, 2022)

Neural large neighborhood search for routing problems. - André Hottung; Kevin Tierney (Artif. Intell., 2022)

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)

Learning Heuristics for Combinatorial Optimization Problems with Deep Neural Networks - André Hottung (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)

A Deep Learning Accelerated Heuristic for Truck Loading Optimization. - Fynn Martin Gilbert; Jakob Schulte; André Hottung; Daniel Wetzel; Kevin Tierney (ICCL, 2024)

RouteFinder: Towards Foundation Models for Vehicle Routing Problems. - Federico Berto; Chuanbo Hua; Nayeli Gast Zepeda; André Hottung; Niels A. Wouda; Leon Lan; Kevin Tierney; Jinkyoo Park (CoRR, 2024)

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization. - André Hottung; Mridul Mahajan; Kevin Tierney (ICLR, 2025)

Neural Deconstruction Search for Vehicle Routing Problems. - André Hottung; Paula Wong-Chung; Kevin Tierney (Trans. Mach. Learn. Res., 2025)