André Hottung

According to our database, André Hottung authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

A Deep Learning Accelerated Heuristic for Truck Loading Optimization.

Fynn Martin Gilbert, Jakob Schulte, André Hottung, Daniel Wetzel, Kevin Tierney

Proceedings of the Computational Logistics - 15th International Conference, 2024

2023

The first AI4TSP competition: Learning to solve stochastic routing problems.

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

Artif. Intell., June, 2023

Learning Heuristics for Combinatorial Optimization Problems with Deep Neural Networks

André Hottung

PhD thesis, 2023

2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.

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

CoRR, 2022

Neural large neighborhood search for routing problems.

André Hottung, Kevin Tierney

Artif. Intell., 2022

Simulation-guided Beam Search for Neural Combinatorial Optimization.

Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Solve a Stochastic Orienteering Problem with Time Windows.

Fynn Schmitt-Ulms, André Hottung, Meinolf Sellmann, Kevin Tierney

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Efficient Active Search for Combinatorial Optimization Problems.

André Hottung, Yeong-Dae Kwon, Kevin Tierney

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning a Latent Search Space for Routing Problems using Variational Autoencoders.

André Hottung, Bhanu Bhandari, Kevin Tierney

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Deep learning assisted heuristic tree search for the container pre-marshalling problem.

André Hottung, Shunji Tanaka, Kevin Tierney

Comput. Oper. Res., 2020

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem.

André Hottung, Kevin Tierney

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

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, Gregor Engels

Proc. ACM Hum. Comput. Interact., 2019

2016

A biased random-key genetic algorithm for the container pre-marshalling problem.

André Hottung, Kevin Tierney

Comput. Oper. Res., 2016