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"

21 / 71 papers shown

Title
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu Zhiqing Sun Yiming Yang 43 78 0 08 Oct 2022
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Nathan Grinsztajn Daniel Furelos-Blanco Shikha Surana Clément Bonnet Thomas D. Barrett 54 28 0 07 Oct 2022
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation Qiaoyue Tang Yangzhe Kong Lemeng Pan Choon-woo Lee 30 3 0 20 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo Yeong-Dae Kwon Jihoon Kim Jeongwoo Jae André Hottung Kevin Tierney Youngjune Gwon 30 65 0 13 Jul 2022
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems Jiongzhi Zheng Kun He Jianrong Zhou Yan Jin Chumin Li 25 32 0 08 Jul 2022
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning Christian Löwens Inaam Ashraf Alexander Gembus Genesis Cuizon Jonas K. Falkner Lars Schmidt-Thieme 29 22 0 04 Jul 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems Minjun Kim Junyoung Park Jinkyoo Park 29 2 0 06 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 76 80 0 26 May 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 29 24 0 05 May 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization Yuan Jiang Yaoxin Wu Zhiguang Cao Jie Zhang OOD 23 37 0 15 Feb 2022
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size Daniela Thyssens Jonas K. Falkner Lars Schmidt-Thieme SSL 19 2 0 05 Jan 2022
Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 27 41 0 01 Nov 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems Minsu Kim Jinkyoo Park Joungho Kim 6 106 0 26 Oct 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin Wen Song Zhiguang Cao Jie Zhang 8 107 0 15 Oct 2021
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning Jingwen Li Liang Xin Zhiguang Cao Andrew Lim Wen Song Jie Zhang 67 85 0 06 Oct 2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem Jingwen Li Yining Ma Ruize Gao Zhiguang Cao Andrew Lim Wen Song Jie Zhang 126 115 0 06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Yining Ma Jingwen Li Zhiguang Cao Wen Song Le Zhang Zhenghua Chen Jing Tang 83 129 0 06 Oct 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 67 0 15 Jul 2021
Supervised Off-Policy Ranking Yue Jin Yue Zhang Tao Qin Xudong Zhang Jian Yuan Houqiang Li Tie-Yan Liu OffRL 32 5 0 03 Jul 2021
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems Wen Song Zhiguang Cao Jie Zhang Andrew Lim 21 33 0 23 Dec 2019