Cover Image

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Chengrui, Shang, Haopu, Xue, Ke, Li, Dong, Qian, Chao
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)

Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2026)

Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection
by: Cheng, Zi-Hang, et al.
Published: (2024)

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
by: Zheng, Zhi, et al.
Published: (2024)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
by: Feng, Shaodi, et al.
Published: (2025)

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
by: Zheng, Yuepeng, et al.
Published: (2025)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
by: Fang, Han, et al.
Published: (2024)

Efficient Decoder Scaling Strategy for Neural Routing Solvers
by: Luo, Qing, et al.
Published: (2026)

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
by: Bi, Jieyi, et al.
Published: (2026)

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
by: Huang, Ziwei, et al.
Published: (2025)

Memory-Enhanced Neural Solvers for Routing Problems
by: Chalumeau, Felix, et al.
Published: (2024)

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
by: Wu, Xuan, et al.
Published: (2025)

Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)

Transferrable Surrogates in Expressive Neural Architecture Search Spaces
by: Qin, Shiwen, et al.
Published: (2025)

Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems
by: Wang, Yang, et al.
Published: (2024)

Learning to Insert for Constructive Neural Vehicle Routing Solver
by: Luo, Fu, et al.
Published: (2025)

Purity Law for Generalizable Neural TSP Solvers
by: Liu, Wenzhao, et al.
Published: (2025)

Neural Deconstruction Search for Vehicle Routing Problems
by: Hottung, André, et al.
Published: (2025)

Confidence-aware Contrastive Learning for Selective Classification
by: Wu, Yu-Chang, et al.
Published: (2024)

Survey on Neural Routing Solvers
by: Ba, Yunpeng, et al.
Published: (2026)

URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
by: Zhou, Changliang, et al.
Published: (2025)

Offline Model-Based Optimization by Learning to Rank
by: Tan, Rong-Xi, et al.
Published: (2024)

Enhancing Cross-Problem Vehicle Routing via Federated Learning
by: Meng, Xiangchi, et al.
Published: (2026)

Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
by: Deineko, Elija, et al.
Published: (2024)

Pareto Set Learning for Multi-Objective Reinforcement Learning
by: Liu, Erlong, et al.
Published: (2025)

Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
by: Xiao, Yubin, et al.
Published: (2023)

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
by: Chen, Yuanyao, et al.
Published: (2025)

On Distributional Dependent Performance of Classical and Neural Routing Solvers
by: Thyssens, Daniela, et al.
Published: (2025)

Towards Universal Solvers: Using PGD Attack in Active Learning to Increase Generalizability of Neural Operators as Knowledge Distillation from Numerical PDE Solvers
by: Sun, Yifei
Published: (2025)

An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem
by: Guo, Runze, et al.
Published: (2024)

Learning to Segment for Vehicle Routing Problems
by: Ouyang, Wenbin, et al.
Published: (2025)

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
by: Miao, Changhao, et al.
Published: (2026)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
by: Zhou, Jianan, et al.
Published: (2024)

Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
by: Li, Jingwen, et al.
Published: (2025)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
by: Luo, Fu, et al.
Published: (2025)

Training Generalizable Collaborative Agents via Strategic Risk Aversion
by: Qu, Chengrui, et al.
Published: (2026)

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem
by: Huang, Shihong, et al.
Published: (2026)

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
by: Pan, Yuxin, et al.
Published: (2025)

Collaboration! Towards Robust Neural Methods for Routing Problems
by: Zhou, Jianan, et al.
Published: (2024)