André Hottung

26 papers A* 4A 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Learning to Solve the Skill Vehicle Routing Problem with Deep Reinforcement Learning.
LION (2)
Nayeli Gast Zepeda, André Hottung, Kevin Tierney
2025 J jnl
Neural Deconstruction Search for Vehicle Routing Problems.
CoRR
André Hottung, Paula Wong-Chung, Kevin Tierney
2025 J jnl
Neural Deconstruction Search for Vehicle Routing Problems.
Trans. Mach. Learn. Res.
André Hottung, Paula Wong-Chung, Kevin Tierney
2025 A* conf
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization.
ICLR
André Hottung, Mridul Mahajan, Kevin Tierney
2025 — conf
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
KDD (2)
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025 J jnl
RouteFinder: Towards Foundation Models for Vehicle Routing Problems.
Trans. Mach. Learn. Res.
Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Junyoung Park, Kevin Tierney, Jinkyoo Park
2025 J jnl
VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems.
CoRR
André Hottung, Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, Daniel Wetzel, Michael Römer, Haoran Ye, Davide Zago, Michael Poli, Stefano Massaroli, Jinkyoo Park, Kevin Tierney
2024 — conf
A Deep Learning Accelerated Heuristic for Truck Loading Optimization.
ICCL
Fynn Martin Gilbert, Jakob Schulte, André Hottung, Daniel Wetzel, Kevin Tierney
2024 J jnl
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization.
CoRR
André Hottung, Mridul Mahajan, Kevin Tierney
2024 J jnl
RouteFinder: Towards Foundation Models for Vehicle Routing Problems.
CoRR
Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park
2023 — —
Learning Heuristics for Combinatorial Optimization Problems with Deep Neural Networks
André Hottung
2023 J jnl
The first AI4TSP competition: Learning to solve stochastic routing problems.
Artif. Intell.
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
2022 A* conf
Efficient Active Search for Combinatorial Optimization Problems.
ICLR
André Hottung, Yeong-Dae Kwon, Kevin Tierney
2022 — conf
Learning to Solve a Stochastic Orienteering Problem with Time Windows.
LION
Fynn Schmitt-Ulms, André Hottung, Meinolf Sellmann, Kevin Tierney
2022 J jnl
Neural large neighborhood search for routing problems.
Artif. Intell.
André Hottung, Kevin Tierney
2022 A* conf
Simulation-guided Beam Search for Neural Combinatorial Optimization.
NeurIPS
Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
2022 J jnl
Simulation-guided Beam Search for Neural Combinatorial Optimization.
CoRR
Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
2022 J jnl
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.
CoRR
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
2021 J jnl
Efficient Active Search for Combinatorial Optimization Problems.
CoRR
André Hottung, Yeong-Dae Kwon, Kevin Tierney
2021 A* conf
Learning a Latent Search Space for Routing Problems using Variational Autoencoders.
ICLR
André Hottung, Bhanu Bhandari, Kevin Tierney
2020 J jnl
Deep learning assisted heuristic tree search for the container pre-marshalling problem.
Comput. Oper. Res.
André Hottung, Shunji Tanaka, Kevin Tierney
2020 A conf
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem.
ECAI
André Hottung, Kevin Tierney
2019 J jnl
Context- and Data-driven Satisfaction Analysis of User Interface Adaptations Based on Instant User Feedback.
Proc. ACM Hum. Comput. Interact.
Enes Yigitbas, André Hottung, Sebastian Mansfield Rojas, Anthony Anjorin, Stefan Sauer, Gregor Engels
2019 J jnl
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem.
CoRR
André Hottung, Kevin Tierney
2017 J jnl
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem.
CoRR
André Hottung, Shunji Tanaka, Kevin Tierney
2016 J jnl
A biased random-key genetic algorithm for the container pre-marshalling problem.
Comput. Oper. Res.
André Hottung, Kevin Tierney