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ORCIDAndré Hottung
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2020 – today
- 2024
[c6]Fynn Martin Gilbert, Jakob Schulte, André Hottung, Daniel Wetzel, Kevin Tierney:
A Deep Learning Accelerated Heuristic for Truck Loading Optimization. ICCL 2024: 65-79- [i7]André Hottung, Mridul Mahajan, Kevin Tierney:
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization. CoRR abs/2402.14048 (2024) - [i6]Federico Berto, Chuanbo Hua
, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park:
RouteFinder: Towards Foundation Models for Vehicle Routing Problems. CoRR abs/2406.15007 (2024) - 2023
- [b1]André Hottung:
Learning Heuristics for Combinatorial Optimization Problems with Deep Neural Networks. Bielefeld University, Germany, 2023 - [j5]Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319: 103918 (2023) - 2022
- [j4]André Hottung, Kevin Tierney:
Neural large neighborhood search for routing problems. Artif. Intell. 313: 103786 (2022) - [c5]André Hottung, Yeong-Dae Kwon, Kevin Tierney:
Efficient Active Search for Combinatorial Optimization Problems. ICLR 2022 - [c4]Fynn Schmitt-Ulms, André Hottung, Meinolf Sellmann, Kevin Tierney:
Learning to Solve a Stochastic Orienteering Problem with Time Windows. LION 2022: 108-122 - [c3]Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon:
Simulation-guided Beam Search for Neural Combinatorial Optimization. NeurIPS 2022 - [i5]Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR abs/2201.10453 (2022) - [i4]Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon:
Simulation-guided Beam Search for Neural Combinatorial Optimization. CoRR abs/2207.06190 (2022) - 2021
- [c2]André Hottung, Bhanu Bhandari, Kevin Tierney:
Learning a Latent Search Space for Routing Problems using Variational Autoencoders. ICLR 2021 - [i3]André Hottung, Yeong-Dae Kwon, Kevin Tierney:
Efficient Active Search for Combinatorial Optimization Problems. CoRR abs/2106.05126 (2021) - 2020
- [j3]André Hottung, Shunji Tanaka, Kevin Tierney:
Deep learning assisted heuristic tree search for the container pre-marshalling problem. Comput. Oper. Res. 113 (2020) - [c1]André Hottung, Kevin Tierney:
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. ECAI 2020: 443-450
2010 – 2019
- 2019
- [j2]Enes Yigitbas, André Hottung, Sebastian Mansfield Rojas, Anthony Anjorin, Stefan Sauer, Gregor Engels:
Context- and Data-driven Satisfaction Analysis of User Interface Adaptations Based on Instant User Feedback. Proc. ACM Hum. Comput. Interact. 3(EICS): 19:1-19:20 (2019) - [i2]André Hottung, Kevin Tierney:
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. CoRR abs/1911.09539 (2019) - 2017
- [i1]André Hottung, Shunji Tanaka, Kevin Tierney:
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem. CoRR abs/1709.09972 (2017) - 2016
- [j1]André Hottung, Kevin Tierney:
A biased random-key genetic algorithm for the container pre-marshalling problem. Comput. Oper. Res. 75: 83-102 (2016)
Coauthor Index
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