| Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem A Hottung, K Tierney arXiv preprint arXiv:1911.09539, 2019 | 217 | 2019 |
| Deep learning assisted heuristic tree search for the container pre-marshalling problem A Hottung, S Tanaka, K Tierney Computers & Operations Research 113, 104781, 2020 | 135 | 2020 |
| Efficient Active Search for Combinatorial Optimization Problems A Hottung, YD Kwon, K Tierney arXiv preprint arXiv:2106.05126, 2021 | 122 | 2021 |
| Learning a latent search space for routing problems using variational autoencoders A Hottung, B Bhandari, K Tierney International Conference on Learning Representations, 2021 | 75 | 2021 |
| Simulation-guided beam search for neural combinatorial optimization J Choo, YD Kwon, J Kim, J Jae, A Hottung, K Tierney, Y Gwon Advances in Neural Information Processing Systems 35, 8760-8772, 2022 | 66 | 2022 |
| A biased random-key genetic algorithm for the container pre-marshalling problem A Hottung, K Tierney Computers & Operations Research 75, 83-102, 2016 | 57 | 2016 |
| Context-and Data-driven Satisfaction Analysis of User Interface Adaptations Based on Instant User Feedback E Yigitbas, A Hottung, SM Rojas, A Anjorin, S Sauer, G Engels Proceedings of the ACM on Human-Computer Interaction 3 (EICS), 1-20, 2019 | 23 | 2019 |
| Machine learning meets partner matching: Predicting the future relationship quality based on personality traits I Großmann, A Hottung, A Krohn-Grimberghe PloS one 14 (3), e0213569, 2019 | 23 | 2019 |
| Neural large neighborhood search for routing problems A Hottung, K Tierney Artificial Intelligence 313, 103786, 2022 | 20 | 2022 |
| Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark F Berto, C Hua, J Park, L Luttmann, Y Ma, F Bu, J Wang, H Ye, M Kim, ... arXiv preprint arXiv:2306.17100, 2023 | 18 | 2023 |
| Routefinder: Towards foundation models for vehicle routing problems F Berto, C Hua, NG Zepeda, A Hottung, N Wouda, L Lan, J Park, ... arXiv preprint arXiv:2406.15007, 2024 | 12 | 2024 |
| The first AI4TSP competition: Learning to solve stochastic routing problems Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ... Artificial Intelligence 319, 103918, 2023 | 12* | 2023 |
| PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization A Hottung, M Mahajan, K Tierney arXiv preprint arXiv:2402.14048, 2024 | 11 | 2024 |
| Learning to Solve a Stochastic Orienteering Problem with Time Windows F Schmitt-Ulms, A Hottung, M Sellmann, K Tierney International Conference on Learning and Intelligent Optimization, 108-122, 2022 | 8 | 2022 |
| Cost shaping via reinforcement learning for vehicle routing problems YD Kwon, J Choo, D Bae, J Kim, A Hottung The EURO Meets NeurIPS, 2022 | 7 | 2022 |
| Predicting relationship quality based on personality traits: A machine learning approach to improve reproducibility I Großmann, A Hottung, AK Grimberghe Empirische Evaluationsmethoden Band 22 Workshop 2017, 83, 2018 | 2 | 2018 |
| A Deep Learning Accelerated Heuristic for Truck Loading Optimization FM Gilbert, J Schulte, A Hottung, D Wetzel, K Tierney International Conference on Computational Logistics, 65-79, 2024 | 1 | 2024 |
| Neural Deconstruction Search for Vehicle Routing Problems A Hottung, P Wong-Chung, K Tierney arXiv preprint arXiv:2501.03715, 2025 | | 2025 |
| Learning Heuristics for Combinatorial Optimization Problems with Deep Neural Networks A Hottung Universitätsbibliothek Bielefeld, 2023 | | 2023 |