Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

6 October 2021

Papers citing "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer"

20 / 20 papers shown

Title
Preference Optimization for Combinatorial Optimization Problems Mingjun Pan Guanquan Lin You-Wei Luo Bin Zhu Zhien Dai Lijun Sun Chun Yuan 23 0 0 13 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 55 0 0 16 Mar 2025
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 53 10 0 21 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 68 4 0 01 Jun 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning Andrew Holliday A. El-geneidy Gregory Dudek 27 0 0 08 Apr 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 43 23 0 11 Mar 2024
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 32 0 13 Dec 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 19 1 0 27 Sep 2023
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu Zhiqing Sun Yiming Yang 43 77 0 08 Oct 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 59 39 0 22 Sep 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo Yeong-Dae Kwon Jihoon Kim Jeongwoo Jae André Hottung Kevin Tierney Youngjune Gwon 28 62 0 13 Jul 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 27 24 0 05 May 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 25 4 0 02 Mar 2022
Continual Transformers: Redundancy-Free Attention for Online Inference Lukas Hedegaard Arian Bakhtiarnia Alexandros Iosifidis CLL 20 11 0 17 Jan 2022
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning Jingwen Li Liang Xin Zhiguang Cao Andrew Lim Wen Song Jie M. Zhang 64 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 M. Zhang 120 115 0 06 Oct 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
Deep Policy Dynamic Programming for Vehicle Routing Problems W. Kool H. V. Hoof J. Gromicho Max Welling 42 115 0 23 Feb 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 60 299 0 23 Oct 2020