Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

31 May 2023

Papers citing "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"

15 / 15 papers shown

Title
UniCO: Towards a Unified Model for Combinatorial Optimization Problems Zefang Zong Xiaochen Wei Guozhen Zhang Chen Gao Huandong Wang Yong Li 29 0 0 07 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 53 0 0 16 Mar 2025
L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver Changliang Zhou Xi Victoria Lin Zhenkun Wang Qingfu Zhang 79 0 0 05 Mar 2025
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
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 62 4 0 01 Jun 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization Changliang Zhou Xi Lin Zhenkun Wang Xialiang Tong Mingxuan Yuan Qingfu Zhang 46 6 0 03 May 2024
Neural Airport Ground Handling Yaoxin Wu Jianan Zhou Yunwen Xia Xianli Zhang Zhiguang Cao Jie M. 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 30 23 0 01 Mar 2023
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 57 39 0 22 Sep 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 70 78 0 26 May 2022
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 75 129 0 06 Oct 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 58 299 0 23 Oct 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017