Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Hottung, André"'
Autor:
Berto, Federico, Hua, Chuanbo, Zepeda, Nayeli Gast, Hottung, André, Wouda, Niels, Lan, Leon, Park, Junyoung, Tierney, Kevin, Park, Jinkyoo
This paper introduces RouteFinder, a comprehensive foundation model framework to tackle different Vehicle Routing Problem (VRP) variants. Our core idea is that a foundation model for VRPs should be able to represent variants by treating each as a sub
Externí odkaz:
http://arxiv.org/abs/2406.15007
Reinforcement learning-based methods for constructing solutions to combinatorial optimization problems are rapidly approaching the performance of human-designed algorithms. To further narrow the gap, learning-based approaches must efficiently explore
Externí odkaz:
http://arxiv.org/abs/2402.14048
Autor:
Berto, Federico, Hua, Chuanbo, Park, Junyoung, Luttmann, Laurin, Ma, Yining, Bu, Fanchen, Wang, Jiarui, Ye, Haoran, Kim, Minsu, Choi, Sanghyeok, Zepeda, Nayeli Gast, Hottung, André, Zhou, Jianan, Bi, Jieyi, Hu, Yu, Liu, Fei, Kim, Hyeonah, Son, Jiwoo, Kim, Haeyeon, Angioni, Davide, Kool, Wouter, Cao, Zhiguang, Zhang, Qingfu, Kim, Joungho, Zhang, Jie, Shin, Kijung, Wu, Cathy, Ahn, Sungsoo, Song, Guojie, Kwon, Changhyun, Tierney, Kevin, Xie, Lin, Park, Jinkyoo
Deep reinforcement learning (RL) has recently shown significant benefits in solving combinatorial optimization (CO) problems, reducing reliance on domain expertise, and improving computational efficiency. However, the field lacks a unified benchmark
Externí odkaz:
http://arxiv.org/abs/2306.17100
Autor:
Choo, Jinho, Kwon, Yeong-Dae, Kim, Jihoon, Jae, Jeongwoo, Hottung, André, Tierney, Kevin, Gwon, Youngjune
Neural approaches for combinatorial optimization (CO) equip a learning mechanism to discover powerful heuristics for solving complex real-world problems. While neural approaches capable of high-quality solutions in a single shot are emerging, state-o
Externí odkaz:
http://arxiv.org/abs/2207.06190
Autor:
Bliek, Laurens, da Costa, Paulo, Afshar, Reza Refaei, Zhang, Yingqian, Catshoek, Tom, Vos, Daniël, Verwer, Sicco, Schmitt-Ulms, Fynn, Hottung, André, Shah, Tapan, Sellmann, Meinolf, Tierney, Kevin, Perreault-Lafleur, Carl, Leboeuf, Caroline, Bobbio, Federico, Pepin, Justine, Silva, Warley Almeida, Gama, Ricardo, Fernandes, Hugo L., Zaefferer, Martin, López-Ibáñez, Manuel, Irurozki, Ekhine
This paper reports on the first international competition on AI for the traveling salesman problem (TSP) at the International Joint Conference on Artificial Intelligence 2021 (IJCAI-21). The TSP is one of the classical combinatorial optimization prob
Externí odkaz:
http://arxiv.org/abs/2201.10453
Recently numerous machine learning based methods for combinatorial optimization problems have been proposed that learn to construct solutions in a sequential decision process via reinforcement learning. While these methods can be easily combined with
Externí odkaz:
http://arxiv.org/abs/2106.05126
Autor:
Hottung, André, Tierney, Kevin
Publikováno v:
ECAI 2020: 443-450
Learning how to automatically solve optimization problems has the potential to provide the next big leap in optimization technology. The performance of automatically learned heuristics on routing problems has been steadily improving in recent years,
Externí odkaz:
http://arxiv.org/abs/1911.09539
Autor:
Zhang, Yingqian, Bliek, Laurens, da Costa, Paulo, Refaei Afshar, Reza, Reijnen, Robbert, Catshoek, Tom, Vos, Daniël, Verwer, Sicco, Schmitt-Ulms, Fynn, Hottung, André, Shah, Tapan, Sellmann, Meinolf, Tierney, Kevin, Perreault-Lafleur, Carl, Leboeuf, Caroline, Bobbio, Federico, Pepin, Justine, Silva, Warley Almeida, Gama, Ricardo, Fernandes, Hugo L., Zaefferer, Martin, López-Ibáñez, Manuel, Irurozki, Ekhine
Publikováno v:
In Artificial Intelligence June 2023 319
Publikováno v:
Computers & Operations Research 113 (2020) 104781
The container pre-marshalling problem (CPMP) is concerned with the re-ordering of containers in container terminals during off-peak times so that containers can be quickly retrieved when the port is busy. The problem has received significant attentio
Externí odkaz:
http://arxiv.org/abs/1709.09972