MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

2 May 2024

Papers citing "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

23 / 23 papers shown

Title
USPR: Learning a Unified Solver for Profiled Routing Chuanbo Hua Federico Berto Zhikai Zhao Jiwoo Son Changhyun Kwon Jinkyoo Park 39 0 0 08 May 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems Arthur Corrêa Cristóvão Silva Liming Xu Alexandra Brintrup Samuel Moniz 48 0 0 16 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Ziwei Huang Jianan Zhou Zhiguang Cao Yixin Xu 31 1 0 02 Mar 2025
Multi-Agent Environments for Vehicle Routing Problems Ricardo Gama Daniel Fuertes Carlos R. del-Blanco Hugo L. Fernandes AI4CE 84 0 0 21 Nov 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi Yining Ma Jianan Zhou Wen Song Zhiguang Cao Yaoxin Wu Jie Zhang 29 6 0 28 Oct 2024
Neural Solver Selection for Combinatorial Optimization Chengrui Gao Haopu Shang Ke Xue Chao Qian 23 0 0 13 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhiqi Shen AAML 23 3 0 07 Oct 2024
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Federico Berto Chuanbo Hua Laurin Luttmann Jiwoo Son Junyoung Park Kyuree Ahn Changhyun Kwon Lin Xie Jinkyoo Park 33 1 0 05 Sep 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner Darko Drakulic Sofia Michel J. Andreoli 31 6 0 21 Jun 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems Federico Berto Chuanbo Hua Nayeli Gast Zepeda André Hottung N. Wouda Leon Lan Kevin Tierney J. Park Jinkyoo Park 48 10 0 21 Jun 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey Igor G. Smit Jianan Zhou Robbert Reijnen Yaoxin Wu Jian Chen Cong Zhang Z. Bukhsh Wim P. M. Nuijten Yingqian Zhang GNN AI4CE 34 8 0 20 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 60 4 0 01 Jun 2024
Leader Reward for POMO-Based Neural Combinatorial Optimization Chaoyang Wang Pengzhi Cheng Jingze Li Weiwei Sun 33 0 0 22 May 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 41 23 0 11 Mar 2024
Scaling Laws for Fine-Grained Mixture of Experts Jakub Krajewski Jan Ludziejewski Kamil Adamczewski Maciej Pióro Michal Krutul ... Krystian Król Tomasz Odrzygó'zd'z Piotr Sankowski Marek Cygan Sebastian Jaszczur MoE 40 53 0 12 Feb 2024
From Sparse to Soft Mixtures of Experts J. Puigcerver C. Riquelme Basil Mustafa N. Houlsby MoE 121 114 0 02 Aug 2023
Neural Airport Ground Handling Yaoxin Wu Jianan Zhou Yunwen Xia Xianli Zhang Zhiguang Cao Jie M. Zhang AI4TS 37 10 0 04 Mar 2023
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Nathan Grinsztajn Daniel Furelos-Blanco Shikha Surana Clément Bonnet Thomas D. Barrett 52 26 0 07 Oct 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 65 77 0 26 May 2022
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 147 323 0 18 Feb 2022
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem Jingwen Li Yining Ma Ruize Gao Zhiguang Cao Andrew Lim Wen Song Jie M. Zhang 97 111 0 06 Oct 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 69 1,443 0 29 Nov 2016