Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

19 December 2020

Papers citing "Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems"

50 / 71 papers shown

Title
Preference Optimization for Combinatorial Optimization Problems Mingjun Pan Guanquan Lin You-Wei Luo Bin Zhu Zhien Dai Lijun Sun Chun Yuan 28 0 0 13 May 2025
Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks Bo Zhang Xiubo Liang Wei Song Yushen Chen 36 0 0 30 Mar 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 55 0 0 16 Mar 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver Changliang Zhou Xi Lin Zhenkun Wang Qingfu Zhang 114 1 0 05 Mar 2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems Ni Zhang Jingfeng Yang Zhiguang Cao Xu Chi 68 1 0 03 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Ziwei Huang Jianan Zhou Zhiguang Cao Yixin Xu 39 1 0 02 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Yunshui Li Zhitang Chen Farzan Farnia DiffM 70 1 0 15 Feb 2025
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning Qi Li Zhiguang Cao Yining Ma Yaoxin Wu Yue-jiao Gong 53 0 0 03 Jan 2025
DeepMDV: Learning Global Matching for Multi-depot Vehicle Routing Problems Saeed Nasehi Farhana Choudhury E. Tanin 61 0 0 26 Nov 2024
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet Elija Deineko Carina Kehrt 27 1 0 07 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 34 6 0 28 Oct 2024
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization Jonathan Pirnay D. G. Grimm BDL 53 3 0 24 Jul 2024
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems Kexiong Yu Hang Zhao Yuhang Huang Renjiao Yi Kai Xu Chenyang Zhu 46 0 0 28 Jun 2024
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization Félix Chalumeau Refiloe Shabe Noah de Nicola Arnu Pretorius Thomas D. Barrett Nathan Grinsztajn 71 2 0 24 Jun 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner Darko Drakulic Sofia Michel J. Andreoli 39 6 0 21 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 70 6 0 01 Jun 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver Changliang Zhou Xi Lin Zhenkun Wang Xialiang Tong Mingxuan Yuan Qingfu Zhang 54 6 0 03 May 2024
Cross-Problem Learning for Solving Vehicle Routing Problems Zhuoyi Lin Yaoxin Wu Bangjian Zhou Zhiguang Cao Wen Song Yingqian Zhang Senthilnath Jayavelu 46 10 0 17 Apr 2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization Fu Luo Xi Lin Zhenkun Wang Xialiang Tong Mingxuan Yuan Qingfu Zhang 53 16 0 28 Mar 2024
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP Attila Lischka Jiaming Wu Rafael Basso M. Chehreghani Balázs Kulcsár 43 2 0 25 Mar 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement Jonathan Pirnay D. G. Grimm 56 10 0 22 Mar 2024
Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0 Jiana Liao Jinbo Wen Jiawen Kang Changyan Yi Yang Zhang Yutao Jiao Dusit Niyato Dong In Kim Shengli Xie 29 4 0 20 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 43 24 0 11 Mar 2024
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem Cong Zhang Zhiguang Cao Yaoxin Wu Wen Song Jing-rong Sun 25 3 0 27 Feb 2024
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization André Hottung Mridul Mahajan Kevin Tierney 27 9 0 21 Feb 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer Han Fang Zhihao Song Paul Weng Yutong Ban 39 9 0 04 Feb 2024
Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed Yubin Xiao Di Wang Boyang Albert Li Mingzhao Wang Xuan Wu Changliang Zhou You Zhou 29 14 0 19 Dec 2023
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time Haoran Ye Jiarui Wang Helan Liang Zhiguang Cao Yong Li Fanzhang Li 34 34 0 13 Dec 2023
Combinatorial Optimization with Policy Adaptation using Latent Space Search Félix Chalumeau Shikha Surana Clément Bonnet Nathan Grinsztajn Arnu Pretorius Alexandre Laterre Thomas D. Barrett OffRL 29 20 0 13 Nov 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt Yining Ma Zhiguang Cao Yeow Meng Chee 29 37 0 27 Oct 2023
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions Cong Dao Tran Thong Bach Truong-Son Hy 31 0 0 24 Oct 2023
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization Jinbiao Chen Jiahai Wang Zizhen Zhang Zhiguang Cao Te Ye Siyuan Chen 19 14 0 22 Oct 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement Jinbiao Chen Zizhen Zhang Zhiguang Cao Yaoxin Wu Yining Ma Te Ye Jiahai Wang 26 10 0 22 Oct 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization Fu Luo Xi Lin Fei Liu Qingfu Zhang Zhenkun Wang 35 61 0 12 Oct 2023
Routing Arena: A Benchmark Suite for Neural Routing Solvers Daniela Thyssens Tim Dernedde Jonas K. Falkner Lars Schmidt-Thieme 54 3 0 06 Oct 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems Hao Li Lars Schmidt-Thieme 46 2 0 29 Sep 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization Haoran Ye Jiarui Wang Zhiguang Cao Helan Liang Yong Li 36 46 0 25 Sep 2023
Continuation Path Learning for Homotopy Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 20 8 0 24 Jul 2023
Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem Stefan Schoepf Stephen Mak J. Senoner Liming Xu Netland Torbjorn Alexandra Brintrup 16 0 0 22 Jul 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark Federico Berto Chuanbo Hua Junyoung Park Laurin Luttmann Yining Ma ... Guojie Song Changhyun Kwon Kevin Tierney Lin Xie Jinkyoo Park OffRL 32 27 0 29 Jun 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization Jiwoo Son Minsu Kim Hyeon-Seob Kim Jinkyoo Park 24 18 0 05 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 39 7 0 02 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 40 44 0 31 May 2023
Neural Airport Ground Handling Yaoxin Wu Jianan Zhou Yunwen Xia Xianli Zhang Zhiguang Cao Jie Zhang AI4TS 48 10 0 04 Mar 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 32 24 0 01 Mar 2023
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhenghua Chen AI4TS 15 21 0 27 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 33 121 0 16 Feb 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization Darko Drakulic Sofia Michel Florian Mai Arnaud Sors J. Andreoli OffRL 41 32 0 09 Jan 2023
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang Zhiguang Cao Wen Song Puay Siew Tan Jie Zhang 17 17 0 20 Nov 2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation Jieyi Bi Yining Ma Jiahai Wang Zhiguang Cao Jinbiao Chen Yuan Sun Yeow Meng Chee 33 55 0 14 Oct 2022